Q 1 - If you are migrating an application to Windows Azure. It has a hard disk space requirement of 100GB. What is the compute size you should select?
Ans- The compute size you should select when migrating an application to Windows Azure depends on various factors, such as the application's CPU, memory, and storage requirements, as well as the expected workload and performance needs.
In general, the compute size you choose should be based on the resources that are required by the application to operate correctly. If the application has a hard disk space requirement of 100GB, you would need to select a compute size that includes at least 100GB of storage.
To determine the appropriate compute size for your application, you can review the different compute sizes that are available in Azure and compare them to the resource requirements of your application. You can also use the Azure Virtual Machine Size Calculator to help you select the appropriate compute size for your application. The calculator allows you to input the specific resource requirements of your application and provides recommendations for the compute size that would be most suitable based on those requirements.
It is also important to consider the potential cost implications of selecting a particular compute size. Larger compute sizes typically have higher costs associated with them, so you should carefully evaluate the trade-offs between cost and performance when selecting a compute size.
Q2- What are the common uses of the Table service?
Ans- The Azure Table service is a NoSQL key-value store for storing large amounts of structured data. It is designed to be scalable, flexible, and easy to use. The Table service is commonly used for a wide range of purposes, including:
Storing and querying large amounts of data: The Table service is well-suited for storing and querying large amounts of structured data, such as logs, metrics, and other types of data that can be represented in a tabular format.
Implementing a data store for web applications: The Table service can be used as a data store for web applications, allowing developers to store and retrieve data in a scalable and reliable manner.
Storing and querying data with a low number of relationships: The Table service is not well-suited for storing and querying data that has a high number of relationships, but it is ideal for storing and querying data with a low number of relationships.
Storing and querying data with a high volume of read and write operations: The Table service is designed to handle a high volume of read and write operations, making it well-suited for applications that require fast access to data.
Storing and querying large amounts of unstructured data: The Table service can be used to store and query large amounts of unstructured data, such as documents or images, by storing the data as binary large objects (BLOBs) in Azure Storage.
Ans- The correct answer is option D: "All the above mentioned".
Windows Azure provides several options for managing session state in a cloud-based application:
A: Windows Azure Caching: Windows Azure Caching is a distributed in-memory cache that can be used to store session state data in a scalable and reliable manner.
B: SQL Azure: SQL Azure is a cloud-based version of Microsoft SQL Server that can be used to store session state data in a structured format.
C: Azure Table: The Azure Table service is a NoSQL key-value store that can be used to store session state data in a scalable and flexible manner.
All of these options can be used to manage session state in Windows Azure, depending on the specific needs and requirements of the application. It is important to consider factors such as the amount of data to be stored, the performance and scalability requirements, and the cost implications when selecting an option for managing session state in Azure.
The concept of tables in Windows Azure refers to a feature of the Azure Table service, which is a NoSQL key-value store for storing large amounts of structured data in the cloud. The following statements are all true about the concept of tables in Windows Azure:
A: Tables allow structured data storage: Tables in Azure allow developers to store structured data in a tabular format, with rows and columns. Tables provide a flexible and scalable way to store and retrieve data in the cloud.
B: There can be 0..n tables in a storage account: Tables in Azure are stored within a storage account, and a storage account can contain one or more tables. There is no limit to the number of tables that can be stored in a single storage account.
C: Table store data as a collection of entities: Tables in Azure store data as a collection of entities, each of which represents a row in the table and consists of a set of properties. The properties of an entity can be used to store data in different types, such as strings, integers, and binary data.
D: All of these: The statements above are all true about the concept of tables in Windows Azure.
Windows Server 8 is expected to provide the underpinnings of the Windows Azure platform as well as democratize high-availability clusters to push the "scale-up envelope". Windows Azure is a cloud computing platform and infrastructure created by Microsoft that provides a range of services for building, deploying, and managing applications in the cloud. Windows Server 8 is the next version of the Windows Server operating system and is expected to be a key component of the Windows Azure platform.
Windows Server 8 is expected to include a number of features and improvements that will support the Windows Azure platform, such as enhanced virtualization capabilities, improved scalability and performance, and support for hybrid cloud scenarios. It is also expected to democratize high-availability clusters, which are groups of servers that are configured to provide redundant services in the event of a failure, by making it easier for organizations to set up and manage high-availability clusters.
Options A, B, and D are not correct. Exchange Server is a messaging and collaboration platform, SQL Server is a relational database management system, and Windows NT is an operating system that is no longer supported.
Windows Azure provides a range of storage options for storing and managing data in the cloud. One of these options is the Azure Table service, which is a non-relational storage system for large-scale storage. The Azure Table service is a NoSQL key-value store that is designed to be scalable, flexible, and easy to use. It allows developers to store large amounts of structured data in the cloud and retrieve it quickly and efficiently.
Option A, "Compute", refers to the computing resources that are provided by Windows Azure, such as virtual machines, web and worker roles, and service fabric. Option B, "Application", refers to the applications that are built and deployed on the Windows Azure platform. Option D, "None of the mentioned", is not a correct answer.
The Windows Azure Platform is a cloud computing platform and infrastructure created by Microsoft that provides a range of services for building, deploying, and managing applications in the cloud. The main components of the Windows Azure Platform include:
A: Compute: The compute component of Windows Azure provides a range of options for hosting applications and services in the cloud, including virtual machines, web and worker roles, and service fabric.
B: Storage: The storage component of Windows Azure provides a range of options for storing and managing data in the cloud, including blobs, tables, queues, and files.
C: AppFabric: The AppFabric component of Windows Azure provides a range of services for building, deploying, and managing cloud-based applications, including service bus, caching, and integration services.
All of these components are included in the Windows Azure Platform and are designed to work together to provide a flexible and scalable platform for building and deploying cloud-based applications.
All of the other statements are correct.
A: An Amazon Machine Image (AMI) can be provisioned with an operating system, an enterprise application, or application stack. An AMI is a pre-configured virtual machine image that is used to launch instances of an Amazon Elastic Compute Cloud (EC2) instance. AMIs can be created and customized with a variety of different operating systems and applications, allowing developers to quickly and easily deploy cloud-based applications on AWS.
C: Google Apps lets you create a scalable cloud-based application. Google Apps is a suite of productivity and collaboration tools that can be used to create and deploy cloud-based applications. Google Apps includes tools such as Gmail, Google Drive, and Google Docs, which can be used to build and deploy scalable cloud-based applications.
Option B, "AWS is a deployment enabler", is not a correct statement. AWS (Amazon Web Services) is a cloud computing platform and infrastructure created by Amazon that provides a range of services for building, deploying, and managing applications in the cloud. It is not a deployment enabler.
Windows Azure is a cloud computing platform and infrastructure created by Microsoft that provides a range of services for building, deploying, and managing applications in the cloud. Azure supports the deployment of a wide range of web applications, including:
A: ASP.NET: Azure supports the deployment of ASP.NET web applications, which are built using the ASP.NET framework and can be hosted on Azure Web Apps.
B: PHP: Azure supports the deployment of PHP web applications, which are built using the PHP programming language and can be hosted on Azure Web Apps.
C: WCF: Azure supports the deployment of Windows Communication Foundation (WCF) web services, which are built using the WCF framework and can be hosted on Azure Web Apps or Azure Service Fabric.
All of these web applications can be deployed with Azure, making it a flexible and scalable platform for building and deploying a wide range of web-based applications and services.
