Download Developing Solutions for Microsoft Azure.AZ-203.SelfTestEngine.2019-03-15.20q.tqb

Vendor: Microsoft
Exam Code: AZ-203
Exam Name: Developing Solutions for Microsoft Azure
Date: Mar 15, 2019
File Size: 2 MB

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Demo Questions

Question 1
You have an Azure Batch project that processes and converts files and stores the files in Azure storage. You are developing a function to start the batch job. 
You add the following parameters to the function. 
      
You must ensure that converted files are placed in the container referenced by the outputContainerSasUrl parameter. Files which fail to convert are places in the container referenced by the failedContainerSasUrl parameter. 
You need to ensure the files are correctly processed. 
How should you complete the code segment? To answer, select the appropriate options in the answer area. 
NOTE: Each correct selection is worth one point. 
Correct answer: To display the answer, ProfExam Simulator is required.
Explanation:
Box 1: CreateJobBox 2: TaskSuccessTaskSuccess: Upload the file(s) only after the task process exits with an exit code of 0.Incorrect: TaskCompletion: Upload the file(s) after the task process exits, no matter what the exit code was.Box 3: TaskFailure TaskFailure:Upload the file(s) only after the task process exits with a nonzero exit code.Box 4: OutputFilesTo specify output files for a task, create a collection of OutputFile objects and assign it to the CloudTask.OutputFiles property when you create the task. References:https://docs.microsoft.com/en-us/dotnet/api/microsoft.azure.batch.protocol.models.outputfileuploadconditionhttps://docs.microsoft.com/en-us/azure/batch/batch-task-output-files
Box 1: CreateJob
Box 2: TaskSuccess
TaskSuccess: Upload the file(s) only after the task process exits with an exit code of 0.
Incorrect: TaskCompletion: Upload the file(s) after the task process exits, no matter what the exit code was.
Box 3: TaskFailure 
TaskFailure:Upload the file(s) only after the task process exits with a nonzero exit code.
Box 4: OutputFiles
To specify output files for a task, create a collection of OutputFile objects and assign it to the CloudTask.OutputFiles property when you create the task. 
References:
https://docs.microsoft.com/en-us/dotnet/api/microsoft.azure.batch.protocol.models.outputfileuploadcondition
https://docs.microsoft.com/en-us/azure/batch/batch-task-output-files
Question 2
You are writing code to create and run an Azure Batch job.
You have created a pool of compute nodes.
You need to choose the right class and its method to submit a batch job to the Batch service.
Which method should you use?
  1. JobOperations.EnableJobAsync(String, IEnumerable<BatchClientBehavior>,CancellationToken)
  2. JobOperations.CreateJob()
  3. CloudJob.Enable(IEnumerable<BatchClientBehavior>)
  4. JobOperations.EnableJob(String,IEnumerable<BatchClientBehavior>)
  5. CloudJob.CommitAsync(IEnumerable<BatchClientBehavior>, CancellationToken)
Correct answer: E
Explanation:
A Batch job is a logical grouping of one or more tasks. A job includes settings common to the tasks, such as priority and the pool to run tasks on. The app uses the BatchClient.JobOperations.CreateJob method to create a job on your pool.The Commit method submits the job to the Batch service. Initially the job has no tasks.{    CloudJob job = batchClient.JobOperations.CreateJob();    job.Id = JobId;    job.PoolInformation = new PoolInformation { PoolId = PoolId };    job.Commit();}...References:https://docs.microsoft.com/en-us/azure/batch/quick-run-dotnet
A Batch job is a logical grouping of one or more tasks. A job includes settings common to the tasks, such as priority and the pool to run tasks on. The app uses the BatchClient.JobOperations.CreateJob method to create a job on your pool.
The Commit method submits the job to the Batch service. Initially the job has no tasks.
{
    CloudJob job = batchClient.JobOperations.CreateJob();
    job.Id = JobId;
    job.PoolInformation = new PoolInformation { PoolId = PoolId };
Question 3
You develop a website. You plan to host the website in Azure. You expect the website to experience high traffic volumes after it is published. 
You must ensure that the website remains available and responsive while minimizing cost. 
You need to deploy the website. 
What should you do?
  1. Deploy the website to a virtual machine. Configure the virtual machine to automatically scale when the CPU load is high.
  2. Deploy the website to an App Service that uses the Shared service tier. Configure the App service plan to automatically scale when the CPU load is high.
  3. Deploy the website to an App Service that uses the Standard service tier. Configure the App service plan to automatically scale when the CPU load is high.
  4. Deploy the website to a virtual machine. Configure a Scale Set to increase the virtual machine instance count when the CPU load is high.
Correct answer: C
Explanation:
Windows Azure Web Sites (WAWS) offers 3 modes:  Standard, Free, and Shared.Standard mode carries an enterprise-grade SLA (Service Level Agreement) of 99.9% monthly, even for sites with just one instance. Standard mode runs on dedicated instances, making it different from the other ways to buy Windows Azure Web Sites. Incorrect Answers:B: Shared and Free modes do not offer the scaling flexibility of Standard, and they have some important limits.Shared mode, just as the name states, also uses shared Compute resources, and also has a CPU limit. So, while neither Free nor Shared is likely to be the best choice for your production environment due to these limits.
Windows Azure Web Sites (WAWS) offers 3 modes:  Standard, Free, and Shared.
Standard mode carries an enterprise-grade SLA (Service Level Agreement) of 99.9% monthly, even for sites with just one instance. 
Standard mode runs on dedicated instances, making it different from the other ways to buy Windows Azure Web Sites. 
Incorrect Answers:
B: Shared and Free modes do not offer the scaling flexibility of Standard, and they have some important limits.
Shared mode, just as the name states, also uses shared Compute resources, and also has a CPU limit. So, while neither Free nor Shared is likely to be the best choice for your production environment due to these limits.
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