nerdexam
Microsoft

DP-100 · Question #96

You are developing a solution that performs real-time analysis of IoT data in the cloud. The solution must remain available during Azure service updates. You need to recommend a solution. Which two…

The correct answer is B. Deploy an Azure Stream Analytics job to each region in a paired region. C. Monitor jobs in both regions for failure. To ensure an Azure Stream Analytics solution for real-time IoT data remains available during Azure service updates, a highly available deployment strategy and continuous monitoring are needed.

Design and prepare a machine learning solution

Question

You are developing a solution that performs real-time analysis of IoT data in the cloud. The solution must remain available during Azure service updates. You need to recommend a solution. Which two actions should you recommend? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

Options

  • ADeploy an Azure Stream Analytics job to two separate regions that are not in a pair.
  • BDeploy an Azure Stream Analytics job to each region in a paired region.
  • CMonitor jobs in both regions for failure.
  • DMonitor jobs in the primary region for failure.
  • EDeploy an Azure Stream Analytics job to one region in a paired region.

How the community answered

(30 responses)
  • A
    13% (4)
  • B
    77% (23)
  • D
    7% (2)
  • E
    3% (1)

Why each option

To ensure an Azure Stream Analytics solution for real-time IoT data remains available during Azure service updates, a highly available deployment strategy and continuous monitoring are needed.

ADeploy an Azure Stream Analytics job to two separate regions that are not in a pair.

Deploying to two separate regions that are not paired still offers redundancy, but paired regions are specifically optimized for coordinated updates and disaster recovery scenarios, making them more suitable.

BDeploy an Azure Stream Analytics job to each region in a paired region.Correct

Deploying an Azure Stream Analytics job to each region in a paired region provides regional redundancy, as Azure service updates are typically rolled out to only one region of a pair at a time, ensuring the other remains operational.

CMonitor jobs in both regions for failure.Correct

Monitoring jobs in both regions for failure is essential for high availability, allowing for immediate detection of issues in either region and enabling prompt failover or intervention to maintain continuous service.

DMonitor jobs in the primary region for failure.

Monitoring jobs only in the primary region is insufficient for a highly available solution, as failures in the secondary region would go unnoticed, compromising failover capability.

EDeploy an Azure Stream Analytics job to one region in a paired region.

Deploying an Azure Stream Analytics job to only one region in a paired region does not provide the necessary redundancy for high availability, making the service vulnerable to single-region outages or updates.

Concept tested: Azure Stream Analytics high availability and geo-redundancy

Source: https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-job-availability

Topics

#Azure Stream Analytics#High Availability#Paired Regions#Monitoring

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