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Career Path - Cloud Architect
Learn to strategize, build, and maintain cloud infrastructure. Acquire skills on cloud compute, storage, networking, security. Become Cloud Architect.Preview Career Path - Cloud Architect course
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Courses included in the Cloud Architect Career Path program by Uplatz include:
1).Cloud Computing Basics
2).Microsoft Azure
3).AWS (Amazon Web Services)
4).GCP (Google Cloud Platform)
5).SAP Analytics Cloud (SAC)
6).ServiceNow
7).API Design for the Cloud
Cloud architecture defines the way technology components combine to build a cloud, in which resources are pooled through virtualization technology and shared across a network. Cloud computing architecture refers to the components and subcomponents required for cloud computing. These components typically consist of a front end platform, back end platforms, a cloud-based delivery, and a network. Combined, these components make up cloud computing architecture. The components of a cloud architecture include:
1).Front-end platform (the client or device used to access the cloud)
2).Back-end platform (servers and storage)
3).Cloud-based delivery model
4).Network
Together, these technologies create a cloud computing architecture on which applications can run, providing end-users with the ability to leverage the power of cloud resources. Cloud computing architecture enables organizations to reduce or eliminate their reliance on on-premises server, storage, and networking infrastructure. Organizations adopting cloud architecture often shift IT resources to the public cloud, eliminating the need for on-premises servers and storage, and reducing the need for IT data center real estate, cooling, and power, and replacing them with a monthly IT expenditure. This shift from capital expenditure to operating expense is a major reason for the popularity of cloud computing today. Cloud Architects enable organizations to leverage cloud technologies such as AWS, Microsoft Azure, Google Cloud, IBM Cloud, and more. With a thorough understanding of cloud architecture, you can design, develop, and manage robust, secure, scalable, highly available, and dynamic solutions to drive business objectives. Play a critical role in an organization’s cloud computing strategy as a Cloud Architect.
A Cloud Architect is responsible for converting the technical requirements of a project into the architecture and design that will guide the final product. Often, Cloud Architects are also responsible for bridging the gaps between complex business problems and solutions in the cloud. Other members of a technology team, including DevOps engineers and developers, work with the Cloud Architect to ensure that the right technology or technologies are being built.
Skills required for Cloud Architect
1).Good knowledge of at least one operating system: Linux, Unix, Solaris, Ubuntu, Windows. My preference is any Linux operating system (e.g., Ubuntu or Red Hat)
2).Good understanding of networking: TCP/IP, IP addresses, HTTP, DNS.
3).Computer programming languages: You will need at least a minimal understanding of a programming or scripting language.
4).Security in the cloud is important, and consequently, a high-level understanding of key security concepts is a must for a Cloud Architect.
In this Cloud Architect program, you will learn to plan, design, and implement secure cloud infrastructure in AWS/GCP/Azure/SAC at scale. Begin by designing and building high availability infrastructure, and then move on to building scalable, secure, and cost-optimized architecture. Explore and execute best practices and strategies around securing access to cloud services and infrastructure. This Cloud Architect training path will provide you with in-depth knowledge on how to build applications on the cloud.
Course/Topic 1 - Cloud Computing Basics - all lectures
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In this lecture session we learn about cloud computing, which means storing and accessing data over the internet instead of a hard disk. It is defined as a service that provides users to work over the internet.
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In this lecture session we learn about cloud computing is the delivery of computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over the Internet (“the cloud”) to offer faster innovation, flexible resources, and economies of scale.
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In this lecture session we learn about Cloud computing is a general term for anything that involves delivering hosted services over the internet. These services are divided into three main categories or types of cloud computing.
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In this tutorial we learn about the importance of cloud computing can be found in using services like Google Drive and Apple iCloud. The use of these services allows documents, contacts, pictures, and a whole lot more online.
Course/Topic 2 - Microsoft Azure Fundamentals - all lectures
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In this lecture session we learn about microsoft azure course introduction and also talk about overview of microsoft azure.
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In this lecture session we learn about azure basics functions and importance of microsoft azure.
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In this lecture session we learn about microsoft azure features and also talk about functions of microsoft azure in brief.
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In this lecture session we learn about microsoft azure glossary and also talk about features of azure glossary in microsoft azure fundamentals.
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In this lecture session we learn about Microsoft azure certification path in microsoft azure fundamentals and also talk about features of certification path.
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In this lecture session we learn about azure certification path and also talk about features of microsoft azure in brief.
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In this lecture session we learn about the fundamentals of cloud computing and also talk about the features of cloud.
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In this lecture session we learn about cloud computing functions and also talk about the importance of cloud computing in brief.
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In this lecture session we learn about cloud computing terms and conditions and also talk about features of terms and computing of cloud computing.
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In this lecture session we learn about amazon web service and azure and also talk about the basic difference between amazon web service and microsoft azure.
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In this lecture session we learn about we learn about Getting started with microsoft azure and also talk about features and basic overview of Azure.
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In this lecture session we learn about the advantages of Azure and also talk about the importance of Microsoft azure.
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In this lecture session we learn about the basic advantage of Azure in microsoft fundamentals.
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In this lecture session we learn about features of microsoft azure and also talk about functions of microsoft azure.
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In this lecture session we learn about the advantages of microsoft azure and also talk about factors of microsoft azure.
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In this lecture session we learn about career in microsoft azure and also career in microsoft azure in brief.
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In this lecture session we learn about Microsoft Azure IOT and also talk about features of Azure IOT in brief.
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In this lecture session we learn about fundamentals of azure components in microsoft components and also talk about features of azure components.
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In this lecture session we learn about microsoft azure storage architecture and also talk about functions of azure storage architecture in microsoft azure.
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In this lecture session we learn about microsoft azure table storage and also talk about features of azure table storage.
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In this lecture session we learn about azure blob storage and also talk about the importance of microsoft azure blob storage.
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In this lecture session we learn about the advantages of blob storage and also talk about all advantages of blob storage.
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In this lecture session we learn about microsoft azure Queue storage in azure and also talk about features of azure Queue storage in microsoft azure.
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In this lecture session we learn about azure virtual machines in microsoft azure and also talk about the importance of virtual machines.
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In this lecture session we learn about azure mobile app service and also talk about how we develop mobile app services.
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In this lecture session we learn about azure event grid and also talk about features of microsoft azure event grid.
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In this lecture session we learn about microsoft azure backup service in azure cloud and also talk about the importance of microsoft azure backup services.
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In this lecture session we learn about azure event hub and also talk about features of microsoft azure event hub.
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In this lecture session we learn about azure quickstart templates in fundamentals of microsoft azure and also talk about the importance of azure quickstart template.
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In this lecture session we learn about azure API app service in microsoft azure and also talk about functions of azure API app service.
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In this lecture session we learn about azure cloud services and also talk about azure cloud services
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In this lecture session we learn about azure SQL database configuration and also talk about SQL database features.
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In this lecture session we learn about Microsoft Azure devOps and also talk about the importance of azure devOps.
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In this lecture session we learn about azure express route and also talk about microsoft azure express route.
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In this lecture session we learn about Microsoft Azure SQL database in microsoft azure and also talk about features of SQL.
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In this lecture session we learn about microsoft azure key vault in microsoft azure and also talk about key vaults in azure.
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In this lecture session we learn about microsoft azure load balancer in microsoft azure and also talk about azure load balancer.
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In this lecture session we learn about azure CDN in microsoft azure fundamentals and also talk about azure CDN.
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In this lecture session we learn about Microsoft Azure cosmos DB in cloud computing and also talk about features of cloud computing.
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In this lecture session we learn about fundamentals of microsoft azure domain in azure and also talk about the importance of azure domains.
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In this lecture session we learn about legacy application modernization and also talk about features of legacy application modernization.
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In this lecture session we learn about microsoft azure portals and also talk about all portals of microsoft azure.
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In this lecture session we learn about microsoft azure services portal and also talk about features of azure all services.
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In this lecture session we learn about what is the best model in microsoft azure and also talk about best models for enterprise.
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In this lecture session we learn about microsoft azure deep dive and also talk about features of microsoft azure deep dive.
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In this lecture session we learn about azure management portal in microsoft azure management function and factors.
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In this lecture session we learn about subscription and billing and also function importance subscription and billing.
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In this lecture session we learn about azure storage services and also talk about functions of azure storage services.
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In this lecture session we learn about creating and configuring azure storage accounts and also talk about functions of creating azure storage accounts.
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In this lecture session we learn about microsoft azure storage account in fundamentals of azure portals.
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In this lecture session we learn about Microsoft Azure Storage account and also talk about features of azure storage.
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In this lecture session we learn about microsoft azure websites and services in azure and also talk about basics of websites and services.
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In this lecture session we learn about factors of websites and services in microsoft azure.
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In this lecture session we learn about validation warnings in microsoft azure.
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In this lecture session we learn about how to develop azure websites and services and also talk about functions of websites and services.
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In this lecture session we learn about what is services protections and DDos protections in microsoft azure.
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In this lecture session we learn about network interface and also talk about functions of network interface.
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In this lecture session we learn about microsoft azure Vnet connectivity and also talk about features of peeing and global peeing.
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In this lecture session we learn about microsoft azure compute services and also talk about functions of features of compute services.
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In this lecture session we learn about creating virtual machines and also talk about functions of creating virtual machines.
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In this lecture session we learn about creating an availability set in Microsoft Azure and also talk about factors of creating an availability set.
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In this lecture session we learn about scaling microsoft azure virtual machines and also talk about functions of scaling azure virtual machines.
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In this lecture session we learn about azure app services and also talk about how we create microsoft azure app services.
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In this lecture session we learn about creating a web application and deploying it and also talk about features of deploying.
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In this lecture session we learn about features of creating a web application and deploying in microsoft azure.
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In this lecture session we learn about microsoft azure mobile app services and also talk about features of mobile app services.
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In this lecture session we learn about microsoft azure notification hub and mobile engagement.
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In this lecture session we learn about microsoft azure functions apps and also talk about features of azure functions apps.
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In this lecture session we learn about microsoft azure functions and also talk about functions of microsoft azure functions.
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In this lecture session we learn about microsoft azure API app and API management and also talk about functions of API management in microsoft azure.
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In this lecture session we learn about creating an API using azure portal and also talk about features creating an azure portal.
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In this lecture session we learn about Azure API app services details and also talk about features of API app services.
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In this lecture session we learn about microsoft azure database services and also talk about features of database services.
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In this lecture session we learn about Microsoft Azure SQL database and also talk about features of SQL database.
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In this lecture session we learn about Microsoft Azure SQL database configuration and also talk about features of SQL database.
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In this lecture session we learn about global distribution and partitioning and also talk about features of global distributions.
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In this lecture session we learn about Microsoft Azure SQL data warehouse and also talk about functions of azure SQL data warehouse.
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In this lecture session we learn about cloud computing importance and also talk about functions of cloud computing importance.
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In this lecture session we learn about microsoft azure certification path and also talk about features of azure certification path.
Course/Topic 3 - GCP - all lectures
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Lesson 1 - Cloud Computing Overview
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Lesson 2 - Google Cloud Platform (GCP) Overview
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Lesson 3 - Compute Engine
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Lesson 4 - Google Cloud Storage
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Lesson 5 - GCP Networking
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Lesson 6 - Relational Databases in Google Cloud
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Lesson 7 - Non-relational Databases in Google Cloud
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Lesson 8 - Cloud Storage and Processing for Big Data
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Lesson 9 - Identify and Access Management (IAM)
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Lesson 10 - GCP Security Services
Course/Topic 4 - SAP Analytics Cloud (SAC) - all lectures
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In this tutorial we will get an overview of SAP Analytics Cloud, commonly referred to as SAC. It is the cloud data visualization tool from SAP. Its strengths? SAP Analytics Cloud combines a lot of functionalities in a single tool.
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In this tutorial we learn about business intelligence (BI), augmented analytics, predictive analytics, and enterprise planning – in a single solution. Explore data across the organization and deliver insights at the point of decision with intuitive self-service analytics.
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In this tutorial we talk about Evolution of SAC SAP Analytics Cloud integrates with SAP BW without replication required. The advantage is that you can use your existing data models in BW to generate views in SAP Analytics Cloud. SAC and BPC have bi-directional integration. SAP Analytics Cloud is not a success for BPC but a complimentary tool.
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In this lecture session we will go through a simple demonstration on SAC and also talk about how we upload and collect the data in SAC in brief. How do we create a story in SAC?
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In this lecture session we learn about the process of applying in SAP Analytics Cloud and also talk about data types in SAC. SAC ships with some metrics which can be accessed at System / Monitor. There you can analyze the number of users, logins, consumed storage by model and how many transactions (any activity) a user performed.
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In this tutorial we learn about data set in SAC. SAC automatically builds an embedded “Dataset” and lets you create story components. As the dataset is embedded into the story, it cannot be reused elsewhere. End users love this function of automatic data preparation.
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In this lecture session we learn about In a logical data model, a dataset is the basic organizational unit, a set of related facts, attributes or both, which are stored together in the workspace. Datasets are associated with each other through relationships. A relationship describes how one dataset is related to another.
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In this lecture session we learn about Scenario Planning provides the Business users the ability to plan and forecast on different planning assumptions and see the financial impact instantly. This capability can be achieved using the Version Management functionality in SAP SAC.
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In this lecture session we learn about The SAC Data Analyzer is an ad-hoc analysis tool built-in the SAP Analytics Cloud platform, which works in a similar way as the classic BEx Web or the Analysis for Office plugin for Excel.
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In this tutorial we learn about Smart Predict is the most advanced predictive feature in SAC. There are three types of Smart Predict scenarios– Classification, Regression & Time-Series – provided by SAC to address prediction on different business use cases.
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SAP Analytics Cloud (SAC)- In this lecture session we learn about Smart insights that uses proprietary rules and algorithms to do this in a performant way, whereas a user would need to manually investigate each dimension. Some of the benefits are as follows: Quickly understand the reasons behind an interesting data point or variance and see what factors contribute to the value.
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In this lecture session we learn about The key difference between a budget and a forecast is that a budget lays out the plan for what a business wants to achieve, while a forecast states its actual expectations for results, usually in a much more summarized format.
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In this lecture session we learn about a generic dimension that has the following attributes: Name, the member name. Format, user defined: number, date/time and text formats. Pick List, a link to a predefined dimension or subset and also talk about dimensions and measures are data objects that represent categorical, transactional and numerical data in a dataset; for example, Products, Sales or Revenue.
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In this lecture session we learn about financial planning and analysis (FP&A) is a set of four activities that support an organization's financial health: planning and budgeting, integrated financial planning, management and performance reporting, and forecasting and modeling.
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In this lecture session we learn about a matrix organization which is a company structure where teams report to multiple leaders. The matrix design keeps open communication between teams and can help companies create more innovative products and services. Using this structure prevents teams from needing to realign every time a new project begins.
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In this lecture session we will learn that Resource allocation is a plan that you develop with the aim of making the most of the available resources at your disposal in a project. This is mostly a short-term plan set in place to achieve goals in the future and also talk about features of resource allocation.
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In this lecture session we will learn that the driver tree is a way for businesses (and consultants) to understand the impact of changes to key variables that change overall outcomes. The driver tree focuses on visually laying out the smaller components that drive value in a business.
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In this tutorial we understand that the Value Driver Model is an open model that provides a structure for companies to describe and measure how their sustainable business strategies can drive financial results. Its direct tie to core business strategy and outcomes is the differentiator.
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In this lecture session we learn in the context of SAP Analytics Cloud (SAC), SAP's cloud-based Analytics SaaS solution, that Widgets are mainly used for presentation and display purposes. They are used to visualize information as graphs or charts to show data on maps or by other representations like gauges.
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In this tutorial we learn that the main aim of SAP Digital Boardroom is to give you a 360° view of your enterprise in real time. High-level as well as detail-level information is available to (executive) management members 24/7. In this course, you'll learn the steps you need to take to prepare a board meeting using SAP Digital Boardroom.
Course/Topic 5 - ServiceNow - all lectures
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Lecture 1 - Overview and How to get started with ServiceNow
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Lecture 2 - ServiceNow Platform overview
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Lecture 3 - Lists and Guided Setup Overview
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Lecture 4 - Form Design - Layout - Physical Taskboard
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Lecture 5 - Form Templates and Tasks
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Lecture 6 - Notifications and Inbound Actions
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Lecture 7 - Reports Dashboards and Performance Analytics
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Lecture 8 - Knowledge Management and Performance Analytics
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Lecture 9 - Service Catalogue - Order Guides - Report Producer
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Lecture 10 - Flow Designer - Instance Stats - Events
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Lecture 11 - Data Schema Overview
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Lecture 12 - Access Control - Importing Data - Transform Map
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Lecture 13 - Configuration Management Database (CMDB)
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Lecture 14 - CMDB - Discovery - Service Mapping - Platform Scripting
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Lecture 15 - Platform Scripting and Client Server Side Scripting
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Lecture 16 - Migration - Integration - Upgrade
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Lecture 17 - Custom Applications - Virtual Agent - Mobile Apps
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Lecture 18 - ITIL ITSM overview
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Lecture 19 - ITSM - Incident - Problem - Change
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Lecture 20 - Mock Questions - Next Steps - Certification Path
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Lecture 21 - ServiceNow Examination overview
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Lecture 22 - ServiceNow Exam - Theoretical Concepts
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Lecture 23 - ServiceNow Mock Questions Series
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Lecture 24 - ServiceNow Interview Questions - part 1
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Lecture 25 - ServiceNow Interview Questions - part 2
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Lecture 26 - ServiceNow Interview Questions - part 3
Course/Topic 6 - API Design & Development - all lectures
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In this lecture session we learn about basic introduction to API Design and development with RAML and also talk about some key features of API design with RAML.
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In this lecture session we learn about data formats and authentication of API design and development with RAML and also talk about the importance of RAML in API design and development.
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In this lecture session we learn about how we start designing API and also talk about basic resources and method of API design and development in RAML.
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In this lecture session we learn about API design center and features of API and also talk about some function of API design center in brief.
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In this tutorial we learn about API best practices is to Provide language-specific libraries to interface with your service and also talk about features of API design and development with RAML.
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In this tutorial we learn about Schemes define which transfer protocols you want your API to use. If your API is enforced by an API Connect gateway, only the HTTPS protocol is supported and also talks about features of API security schemes.
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In this tutorial we learn about API Designer provides a visual or code-based guided experience for designing, documenting, and testing APIs in any language and also talk about the importance of API design principles in brief.
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In this lecture session we learn about RESTful API Modeling Language (RAML) makes it easy to manage the API lifecycle from design to deployment to sharing. It's concise and reusable; you only have to write what you need to define and you can use it again and again.
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In this lecture session we learn about RESTful API Modeling Language (RAML) is a YAML-based language for describing RESTful APIs. It provides all the information necessary to describe RESTful or practically RESTful APIs and also talk about the importance of API design and development with RAML.
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In this lecture session we learn about RAML stands for RESTful API Modeling Language. It's a way of describing practically-RESTful APIs in a way that's highly readable by both humans and computers. We say "practically RESTful" because, today in the real world, very few APIs today actually obey all constraints of REST.
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In this lecture session we learn about RAML (RESTful API Modeling Language) provides a structured, unambiguous format for describing a RESTful API. It allows you to describe your API; the endpoints, the HTTP methods to be used for each one, any parameters and their format, what you can expect by way of a response and more.
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In this lecture session we learn about The RAML specification (this document) defines an application of the YAML 1.2 specification that provides mechanisms for the definition of practically-RESTful APIs, while providing provisions with which source code generators for client and server source code and comprehensive user documentation can be created.
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In this tutorial we learn about RESTful API Modeling Language (RAML) is a YAML-based language for describing RESTful APIs. It provides all the information necessary to describe RESTful or practically RESTful APIs.
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In this lecture session we learn about API is the acronym for Application Programming Interface, which is a software intermediary that allows two applications to talk to each other.
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In this lecture session we learn about RAML can be used in a multitude of ways: to implement interactive PAI consoles, generate documentation, describing an API you are planning to build, and more. Despite the name, RAML can describe APIs that do not follow all of the REST rules (hence why it's referred to as "practically RESTful").
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In this lecture session we learn about API architecture refers to the process of developing a software interface that exposes backend data and application functionality for use in new applications.
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In this lecture session we learn about RAML (RESTful API Modeling Language) provides a structured, unambiguous format for describing a RESTful API. It allows you to describe your API; the endpoints, the HTTP methods to be used for each one, any parameters and their format, what you can expect by way of a response and more.
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In this session we learn about RESTful API Modeling Language (RAML) is a YAML-based language for describing RESTful APIs. It provides all the information necessary to describe RESTful or practically RESTful APIs.
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In this lecture session we learn about RAML libraries that may be used to modularize any number and combination of data types, security schemes, resource types, traits, and annotations.
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In this lecture session we learn about API fragments that are reusable components of RAML to make the design and build of a reusable API even quicker and easier. Another advantage of building an API spec out of reusable API fragments is that consistency of definitions reduces the effort of implementing APIs.
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In this tutorial we learn about The RAML type system borrows from object oriented programming languages such as Java, as well as from XML Schema (XSD) and JSON Schema. RAML Types in a nutshell: Types are similar to Java classes. Types borrow additional features from JSON Schema, XSD, and more expressive object oriented languages
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In this lecture session we learn about Properties is nothing but in terms of JAVA ,Its Object Oriented Name. But Facet is nothing but More information about Property like MinLength,MaxLength,Minimum and Maximum and many more what you have said as well.
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In this lecture session we learn about how API fragments are reusable components of RAML to make the design and build of a reusable API even quicker and easier. Another advantage of building an API spec out of reusable API fragments is that consistency of definitions reduces the effort of implementing APIs.
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In this lecture session we learn that RAML belongs to the "API Tools" category of the tech stack, while YAML can be primarily classified under "Languages". According to the StackShare community, RAML has a broader approval, being mentioned in 9 company stacks & 6 developers stacks; compared to YAML, which is listed in 5 company stacks and 4 developer stacks.
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In this lecture session we learn about The WSDL document represents a contract between API providers and API consumers. RAML is a modern WSDL counterpart specifically for REST APIs. The RAML Spec is an open standard that was developed by the RAML workgroup and with support from MuleSoft.
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In this lecture session we learn about RAML to HTML is a documentation tool that outputs a single HTML page console based on a RAML definition. It's written in NodeJS and it can be executed as a command line.
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In this lecture session we learn about A resource node is one that begins with the slash and is either at the root of the API definition or a child of a resource node.
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In this lecture session we learn about RAML stands for RESTful API Modeling Language. It's a way of describing practically-RESTful APIs in a way that's highly readable by both humans and computers. We say "practically RESTful" because, today in the real world, very few APIs today actually obey all constraints of REST.
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In this lecture session we learn about RAML is a Rest API Modeling Language and it is based on YAML for describing your API's. It is basically used to describe your API, which can be easily readable by humans and computers.
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In this lecture session we learn about The baseURI im raml definition is a optional field that serves initially to identify the endpoint of the resources you will describe in the raml definition of a api. The baseURI may also be used to specify the URL at which the api is served.
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In this lecture session we learn about RAML stands for RESTful API Modeling Language. It's a way of describing practically RESTful APIs in a way that's highly readable by both humans and computers. It is a vendor-neutral, open-specification language built on YAML 1.2 and JSON for describing RESTful APIs.
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In this lecture session we learn about RESTful API Modeling Language (RAML) makes it easy to manage the API lifecycle from design to deployment to sharing. It's concise and reusable; you only have to write what you need to define and you can use it again and again. Uniquely among API specs, it was developed to model an API, not just document it.
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In this lecture session we learn about The WSDL document represents a contract between API providers and API consumers. RAML is a modern WSDL counterpart specifically for REST APIs. The RAML Spec is an open standard that was developed by the RAML workgroup and with support from MuleSoft.
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In this tutorial we learn about The RAML specification (this document) defines an application of the YAML 1.2 specification that provides mechanisms for the definition of practically-RESTful APIs, while providing provisions with which source code generators for client and server source code and comprehensive user documentation can be created.
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In this lecture session we learn about A string is a data type used in programming, such as an integer and floating point unit, but is used to represent text rather than numbers. It consists of a set of characters that can also contain spaces and numbers.
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In this RAML is used to design and manage the whole REST API lifecycle. MULE API Kit: Helps to build the APIs from Anypoint Studio using a RAML file. I will be explaining the generating flows from the RAML file and executing it.
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In this lecture session we learn about APIs (application programming interfaces) are simply communication tools for software applications. APIs are leading to key advances within the banking industry as financial institutions continue to collaborate with third parties.
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In this lecture session we learn about Music (alternatively called the Music app; formerly iPod) is a media player application developed for the iOS, iPadOS, tvOS, watchOS, and macOS operating systems by Apple Inc.
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In this lecture session we learn about An API application program interface is used in mobile apps just like it is in web apps. It allows developers to access another application or platform. APIs are the foundational element of a mobile app strategy.
1).Learn designing and building high availability infrastructure.
2).Learn how to build scalable, secure, and cost-optimized architecture.
3).Learn best practices and strategies around securing access to cloud services and infrastructure.
4).Learn how to build applications on the cloud.
Course Title: Career Path in Cloud Architecture
Module 1: Introduction to Cloud Architecture
This module provides an overview of cloud architecture, defining its role in modern IT infrastructure. Students will learn about the significance of cloud computing and how it transforms business operations. The module will introduce the core concepts of cloud architecture, including its components, such as servers, storage, databases, and networks, while discussing various cloud service models—Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
Module 2:Educational Pathway and Certification Requirements
In this module, students will explore the educational background typically required to become a Cloud Architect. A degree in computer science, information technology, or a related field is often essential. The module will cover various certification options, such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, and Google Professional Cloud Architect. It will also highlight the significance of hands-on experience and how to build a solid foundation through relevant courses and training.
Module 3: Core Skills and Competencies
This module focuses on the essential skills and competencies required for a successful career as a Cloud Architect. Key technical skills, including knowledge of cloud platforms, networking, security, and programming languages, will be emphasized. Additionally, soft skills such as communication, problem-solving, and project management are critical for effectively collaborating with cross-functional teams and stakeholders. The module will also cover the importance of continuous learning in a rapidly evolving field.
Module 4: Cloud Architecture Design Principles
Students will delve into the principles of cloud architecture design in this module. Topics will include the design process for scalable, reliable, and secure cloud systems. The module will discuss architectural patterns, such as microservices and serverless architecture, and the importance of cost optimization in design decisions. Real-world case studies will be examined to illustrate successful cloud architecture implementations and the challenges faced.
Module 5: Tools and Technologies
This module introduces various tools and technologies commonly used in cloud architecture. Students will gain familiarity with cloud management platforms, automation tools, and configuration management systems. The module will cover popular services and tools offered by leading cloud providers like AWS, Azure, and Google Cloud, helping students understand how to leverage these tools for effective cloud architecture.
Module 6: Security and Compliance in Cloud Architecture
In this module, students will explore the critical aspects of security and compliance in cloud environments. The module will cover key security practices, including identity and access management, encryption, and vulnerability assessment. Additionally, students will learn about compliance frameworks and regulations, such as GDPR and HIPAA, that impact cloud architectures. The importance of designing secure cloud solutions that meet regulatory requirements will be emphasized.
Module 7: Career Development and Networking
This module focuses on career progression strategies for aspiring Cloud Architects. Students will learn about different career paths within cloud architecture, including roles such as Cloud Engineer, DevOps Engineer, and Solutions Architect. The module will discuss the importance of building a professional network, leveraging platforms like LinkedIn, attending industry events, and engaging in online communities to enhance career opportunities.
Module 8: Future Trends in Cloud Architecture
In the final module, students will examine emerging trends and future directions in cloud architecture. Topics will include the rise of hybrid and multi-cloud environments, the impact of artificial intelligence and machine learning on cloud services, and the growing importance of edge computing. The module will encourage students to think critically about how these trends will shape the role of Cloud Architects in the coming years and the skills they will need to remain competitive.
Course Delivery and Assessment
a).Format: The course will be delivered through a mix of online lectures, interactive workshops, hands-on labs, and guest speaker sessions from industry experts.
b).Assessment: Students will be evaluated through quizzes, practical assignments, and a capstone project that involves designing a cloud architecture solution for a hypothetical business scenario.
Learning Outcomes
By the end of the course, students will be able to:
1.Understand the fundamentals of cloud architecture and its significance in IT.
2.Identify the educational pathways and certification requirements for Cloud Architects.
3.Develop core technical and soft skills necessary for the profession.
4.Apply design principles to create scalable and secure cloud solutions.
5.Navigate tools and technologies essential for effective cloud architecture.
6.Recognize the importance of security and compliance in cloud environments.
7.Plan for career development and networking opportunities in the field.
8.Analyze future trends and their implications for cloud architecture.
The Cloud ArchitectCertification ensures you know planning, production and measurement techniques needed to stand out from the competition.
Cloud architects are IT specialists who have the skills and knowledge to navigate complex cloud environments, lead teams, develop and implement cloud strategies, and ensure cloud systems stay up to date and run smoothly.
The Google Cloud Architect certification is a difficult certification to obtain. It requires a solid understanding of cloud computing, including the various cloud deployment models, cloud service models, and cloud deployment architectures.
Getting started with and learning AWS does not require any coding skills, many basic tasks can be performed without coding. However, depending on the job / skills you have (or need) you may still be required to learn some programming skills.
The role of cloud architect is in high demand—and will continue to present endless opportunities for business growth and innovation.
Uplatz online training guarantees the participants to successfully go through the Cloud Architectcertification provided by Uplatz. Uplatz provides appropriate teaching and expertise training to equip the participants for implementing the learnt concepts in an organization.
Course Completion Certificate will be awarded by Uplatz upon successful completion of the Cloud Architectonline course.
The Cloud Architect draws an average salary of $101,470 per year depending on their knowledge and hands-on experience. The Cloud Architect Admin job roles are in high demand and make a rewarding career.
In AWS, work experience is not limited to the time spent working in a company. As a novice, you can get it by taking up AWS solutions architect projects through internships, or even freelancing in different reputable job boards such as Fivver and Upwork.
AWS is a good career option for a fresher. In cloud computing, AWS has been on top for almost 6 years now and they are not going to lose their market soon so, AWS is a good option.
Note that salaries are generally higher at large companies rather than small ones. Your salary will also differ based on the market you work in.
a).Junior Data Engineer.
b).Azure Cloud Engineer.
c).Cloud Support Engineer
Here are some popular interview questions along with their answers for a Cloud Architect role:
Q1.Can you explain what cloud computing is?
Ans-Cloud computing is the delivery of computing services such as servers, storage, databases, networking, software, analytics, and more over the Internet ("the cloud") to offer faster innovation, flexible resources, and economies of scale.
Q2.What is the difference between public, private, and hybrid clouds?
Ans-Public clouds are owned and operated by third-party cloud service providers. Private clouds are dedicated to a single organization and may be managed on-premises or by a third party. Hybrid clouds combine elements of both public and private clouds.
Q3.How do you ensure the security of data in a cloud environment?
Ans-Security measures include encryption, access controls, identity and access management, regular security audits, and compliance with industry standards.
Q4.Explain the difference between scalability and elasticity.
Ans-Scalability refers to the ability to handle increasing workload by adding resources, while elasticity involves automatically scaling resources up or down based on demand.
Q5.What is serverless computing?
Ans-Serverless computing allows developers to focus on code without worrying about underlying infrastructure. The cloud provider manages the infrastructure, automatically scaling and provisioning resources as needed.
Q6.Describe containerization and its benefits.
Ans-Containerization involves packaging an application and its dependencies into a single unit, ensuring consistency across different environments. Benefits include isolation, portability, and efficient resource utilization.
Q7.What is Infrastructure as Code (IaC)?
Ans-IaC is the practice of managing and provisioning infrastructure through code and automation scripts, improving consistency and reducing manual configuration errors.
Q8.How do you manage data backup and recovery in a cloud environment?
Ans-Data can be backed up regularly to a remote location within the cloud, and recovery can be facilitated through automated processes and snapshots.
Q9.Explain the concept of Auto Scaling.
Ans-Auto Scaling is the ability of a cloud service to automatically adjust the number of computing resources based on demand. This ensures optimal performance while minimizing costs.
Q10.What is a Virtual Private Cloud (VPC)?
Ans-A VPC is a logically isolated section of a public cloud where resources can be launched in a virtual network that closely resembles a traditional network.
Q11.How do you ensure high availability in a cloud architecture?
Ans-High availability is achieved by distributing resources across multiple availability zones or regions, using load balancers, and designing for failover.
Q12.Explain the concept of network latency.
Ans-Network latency refers to the time it takes for data to travel from the source to the destination. Lower latency results in better user experience and faster data transfer.
Q13.What is a Content Delivery Network (CDN)?
Ans-A CDN is a distributed network of servers that deliver web content to users based on their geographical location, reducing latency and improving performance.
Q14.How do you handle cost optimization in a cloud environment?
Ans-Cost optimization involves selecting the appropriate pricing models, using reserved instances, rightsizing resources, and leveraging tools for monitoring and analysis.
Q15.Explain the concept of multi-tenancy.
Ans-Multi-tenancy is the ability of a single instance of a software application to serve multiple customers (tenants), while keeping their data and configurations separate.
Q16.What are the advantages and disadvantages of a serverless architecture?
Ans-Advantages include reduced operational overhead and automatic scaling. Disadvantages might include limited control over infrastructure and potential vendor lock-in.
Q17.Describe the differences between Amazon S3 and Amazon EBS.
Ans-Amazon S3 is an object storage service for storing and retrieving files, while Amazon EBS provides block-level storage for EC2 instances.
Q18.What is a microservices architecture?
Ans-Microservices is an architectural style where an application is composed of loosely coupled, independently deployable services that communicate over a network.
Q19.How can you ensure data consistency in a distributed database?
Ans-Techniques such as distributed transactions, two-phase commits, and eventual consistency patterns can be used to manage data consistency.
Q20.Explain the concept of a "golden image."
Ans-A golden image is a pre-configured template of a virtual machine or container that contains all the necessary software and configurations. It's used for rapid provisioning and consistency.
Q21.What is AWS Lambda?
Ans-AWS Lambda is a serverless compute service that lets you run code in response to events without provisioning or managing servers.
Q22.How do you manage access control in a cloud environment?
Ans-Access control involves using identity and access management (IAM) tools to define and manage who can access resources and what actions they can perform.
Q23.Describe the concept of "lift and shift" migration.
Ans-Lift and shift migration involves moving applications and workloads from on-premises infrastructure to the cloud with minimal changes to the application architecture.
Q24.What is DevOps, and how does it relate to cloud architecture?
Ans-DevOps is a set of practices that combines software development (Dev) and IT operations (Ops) to shorten the software development life cycle and improve the quality of software delivery. It's closely related to cloud architecture as it emphasizes automation, collaboration, and continuous delivery.
Q25.How do you ensure compliance with industry regulations in a cloud environment?
Ans-Compliance can be achieved by using security controls, encryption, auditing, and following best practices to meet specific regulatory requirements.
Q26.Explain the concept of "serverless databases."
Ans-Serverless databases, such as AWS Aurora Serverless, automatically adjust their capacity based on workload demand. This eliminates the need for manual provisioning and scaling.
Q27.What is the CAP theorem in distributed systems?
Ans-The CAP theorem states that in a distributed data store, it's impossible to achieve all three of the following simultaneously: Consistency, Availability, and Partition Tolerance. You can only achieve two out of the three.
Q28.Describe blue-green deployment.
Ans-Blue-green deployment is a deployment strategy where you have two identical environments (blue and green), and you switch traffic from the old version (blue) to the new version (green) seamlessly.
Q29.How can you ensure data security during data migration to the cloud?
Ans-Data can be encrypted during transit and at rest, and thorough testing should be done to identify and mitigate security vulnerabilities during migration.
Q30.What is AWS CloudFormation?
Ans-AWS CloudFormation is a service that enables you to define and provision infrastructure as code in a declarative manner, making it easier to manage and update resources.
Q31.Explain the concept of "serverless event triggers."
Ans-Serverless event triggers allow you to execute code or workflows in response to events, such as file uploads, database changes, or API calls.
Q32.What are the best practices for disaster recovery in a cloud environment?
Ans-Disaster recovery best practices include regular backups, replicating data across regions, and having a well-defined recovery plan and testing procedures.
Q33.Describe the role of a load balancer in cloud architecture.
Ans-A load balancer distributes incoming network traffic across multiple servers to ensure that no single server is overwhelmed, improving performance and fault tolerance.
Q34.How can you optimize network performance in a cloud environment?
Ans-Optimizing network performance involves selecting appropriate instance types, using content delivery networks, and minimizing latency through geographical distribution.
Q35.Explain the differences between Azure and AWS services.
Ans-Azure and AWS are two major cloud providers with similar services, but differences exist in their service offerings, pricing models, and global infrastructure.
Q36.What is Kubernetes, and how does it relate to cloud architecture?
Ans-Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications. It's commonly used in cloud environments to manage container workloads.
Q37.Describe the concept of serverless computing vs. traditional server-based models.
Ans-Serverless computing abstracts away server management tasks, allowing developers to focus solely on code. Traditional server-based models require manual provisioning, scaling, and maintenance.
Q38.How can you ensure data privacy and compliance in a multi-tenant environment?
Ans-Data segregation, encryption, strict access controls, and compliance monitoring are essential to ensuring data privacy and compliance in a multi-tenant environment.
Q39.What is a VPN (Virtual Private Network), and how does it work in cloud architecture?
Ans-A VPN creates a secure connection between on-premises networks and cloud resources, allowing secure communication over the public Internet.
Q40. Explain the concept of "immutable infrastructure."
Ans-Immutable infrastructure involves creating and deploying instances that are never modified after creation. Instead, updates are applied by replacing instances with new ones, reducing configuration drift and ensuring consistency.
Q41. What is the role of a Cloud Architect in an organization?
Ans-A Cloud Architect designs and manages an organization's cloud infrastructure, ensuring that it's scalable, secure, and aligned with business needs.
Q42.Describe the principles of the "12-factor app" methodology.
Ans-The 12-factor app methodology provides best practices for building modern, cloud-native applications, emphasizing factors such as configuration, statelessness, and disposability.
Q43.What are some considerations for optimizing database performance in the cloud?
Ans-Database performance optimization involves proper indexing, query tuning, choosing appropriate database services, and leveraging caching mechanisms.
Q44.How does a CDN improve the performance of a web application?
Ans-A CDN caches content closer to users, reducing the distance data needs to travel and thus improving the loading speed of web applications.
Q45.Explain the concept of "geo-redundancy."
Ans-Geo-redundancy involves replicating data across multiple geographical regions to ensure high availability and disaster recovery.
Q46.What are the key components of a cloud service level agreement (SLA)?
Ans-A cloud SLA should include details about availability, uptime guarantees, response times, and penalties for breaches.
Q47.Describe the role of a reverse proxy in cloud architecture.
Ans-A reverse proxy acts as an intermediary between clients and backend servers, handling tasks like load balancing, security, and caching.
Q48.What is the role of microsegmentation in network security?
Ans-Microsegmentation involves dividing a network into smaller segments to isolate workloads, improving security by minimizing the lateral movement of threats.
Q49.How can you optimize costs in a multi-cloud environment?
Ans-Cost optimization in a multi-cloud environment involves analyzing pricing models, optimizing resource usage, and leveraging multi-cloud management tools.
Q50.What is AWS Well-Architected Framework?
Ans-AWS Well-Architected Framework provides best practices for designing and building secure, high-performing, resilient, and efficient infrastructure for applications.
These questions and answers cover a range of topics relevant to a Cloud Architect role. Be prepared to provide detailed explanations and examples during your interview to showcase your expertise in cloud architecture.