File Info
| Exam | Developing Solutions for Microsoft Azure |
| Number | AZ-203 |
| File Name | Microsoft.AZ-203.SelfTestEngine.2019-07-04.49q.tqb |
| Size | 2 MB |
| Posted | Jul 04, 2019 |
| Download | Microsoft.AZ-203.SelfTestEngine.2019-07-04.49q.tqb |
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Demo Questions
Question 1
You need to resolve a notification latency issue.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
- Set Always On to false.
- Set Always On to true.
- Ensure that the Azure Function is set to use a consumption plan.
- Ensure that the Azure Function is using an App Service plan.
Correct answer: BD
Explanation:
Azure Functions can run on either a Consumption Plan or a dedicated App Service Plan. If you run in a dedicated mode, you need to turn on the Always On setting for your Function App to run properly. The Function runtime will go idle after a few minutes of inactivity, so only HTTP triggers will actually "wake up" your functions. This is similar to how WebJobs must have Always On enabled. Scenario: Notification latency: Users report that anomaly detection emails can sometimes arrive several minutes after an anomaly is detected.Anomaly detection service: You have an anomaly detection service that analyzes log information for anomalies. It is implemented as an Azure Machine Learning model. The model is deployed as a web service.If an anomaly is detected, an Azure Function that emails administrators is called by using an HTTP WebHook. References:https://github.com/Azure/Azure-Functions/wiki/Enable-Always-On-when-running-on-dedicated-App-Service-Plan Azure Functions can run on either a Consumption Plan or a dedicated App Service Plan. If you run in a dedicated mode, you need to turn on the Always On setting for your Function App to run properly. The Function runtime will go idle after a few minutes of inactivity, so only HTTP triggers will actually "wake up" your functions. This is similar to how WebJobs must have Always On enabled.
Scenario: Notification latency: Users report that anomaly detection emails can sometimes arrive several minutes after an anomaly is detected.
Anomaly detection service: You have an anomaly detection service that analyzes log information for anomalies. It is implemented as an Azure Machine Learning model. The model is deployed as a web service.
If an anomaly is detected, an Azure Function that emails administrators is called by using an HTTP WebHook.
References:
https://github.com/Azure/Azure-Functions/wiki/Enable-Always-On-when-running-on-dedicated-App-Service-Plan
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?
- JobOperations.EnableJobAsync(String, IEnumerable<BatchClientBehavior>,CancellationToken)
- JobOperations.CreateJob()
- CloudJob.Enable(IEnumerable<BatchClientBehavior>)
- JobOperations.EnableJob(String,IEnumerable<BatchClientBehavior>)
- 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 };
job.Commit();
}
...
References:
https://docs.microsoft.com/en-us/azure/batch/quick-run-dotnet
Question 3
You are developing a software solution for an autonomous transportation system. The solution uses large data sets and Azure Batch processing to simulate navigation sets for entire fleets of vehicles.
You need to create compute nodes for the solution on Azure Batch.
What should you do?
- In the Azure portal, add a Job to a Batch account.
- In a .NET method, call the method: BatchClient.PoolOperations.CreateJob
- In Python, implement the class: JobAddParameter
- In Azure CLI, run the command: az batch pool create
Correct answer: B
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. Note: Step 1: Create a pool of compute nodes. When you create a pool, you specify the number of compute nodes for the pool, their size, and the operating system. When each task in your job runs, it's assigned to execute on one of the nodes in your pool.Step 2 : Create a job. A job manages a collection of tasks. You associate each job to a specific pool where that job's tasks will run.Step 3: Add tasks to the job. Each task runs the application or script that you uploaded to process the data files it downloads from your Storage account. As each task completes, it can upload its output to Azure Storage.Incorrect Answers:C: To create a Batch pool in Python, the app uses the PoolAddParameter class to set the number of nodes, VM size, and a pool configuration.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.
Note:
Step 1: Create a pool of compute nodes. When you create a pool, you specify the number of compute nodes for the pool, their size, and the operating system. When each task in your job runs, it's assigned to execute on one of the nodes in your pool.
Step 2 : Create a job. A job manages a collection of tasks. You associate each job to a specific pool where that job's tasks will run.
Step 3: Add tasks to the job. Each task runs the application or script that you uploaded to process the data files it downloads from your Storage account. As each task completes, it can upload its output to Azure Storage.
Incorrect Answers:
C: To create a Batch pool in Python, the app uses the PoolAddParameter class to set the number of nodes, VM size, and a pool configuration.
References:
https://docs.microsoft.com/en-us/azure/batch/quick-run-dotnet
