A company wants to monitor the health of an Azure SQL database. They need to see metrics such as DTU usage and storage percentage in a dashboard, and they want to be alerted when DTU usage exceeds 90% for 15 minutes. What should they use?

Create a custom workbook that queries the Azure Resource Graph for DTU usage.

Enable Azure Diagnostics on the SQL database and send logs to a Log Analytics workspace, then create a log alert.

Create a dashboard with Azure Monitor Metrics and a metric alert rule on the 'dtu_consumption_percent' metric.

Use Application Insights to monitor the SQL database metrics.

A company has a complex application with multiple Azure services. They want to create a comprehensive monitoring solution that includes: 1) real-time metrics, 2) log analysis, 3) alerting, and 4) a unified dashboard. They have a limited budget and want to minimize the number of separate tools. What is the most integrated approach?

Use separate tools for each requirement: Azure Metrics for metrics, a third-party log management tool for logs, and a custom alerting system.

Use a third-party monitoring tool like Datadog or Grafana, and integrate it with Azure Monitor.

Use Azure Monitor as the single platform, with Metrics Explorer for metrics, Log Analytics for logs, Alerts for notifications, and Workbooks for dashboards.

Use Application Insights for all monitoring needs, including infrastructure metrics and logs.

A telemetry company processes millions of IoT device messages per second. They need to ingest this high-velocity data, perform real-time analytics, and then store the raw data for batch processing. What should they use for the ingestion and real-time processing layer?

Azure Data Lake Storage for ingestion, with Azure Databricks for real-time processing, and then output to Azure Event Hubs.

Azure Service Bus for ingestion, with Azure Logic Apps for real-time processing, and then output to Azure SQL Database.

Azure Event Hubs for ingestion, with Azure Stream Analytics for real-time processing, and then output to Azure Data Lake Storage for batch processing.

Azure IoT Hub for ingestion, with Azure Functions for real-time processing, and then output to Azure Blob Storage.

Azure Solutions Architect Expert

Domain 1Objective 1

Design Solutions for Logging and Monitoring AZ-305 Practice Questions (Page 8)

Part of the Design identity, governance, and monitoring solutions domain, which makes up ~30% of our current practice bank. Microsoft does not publish an official question count, but from its 120-minute exam (~50–80 total, ~15–24 in this domain), expect 5–8 from this objective — we provide 46 practice questions to prepare you well beyond it. (estimate)

46questions here

10free pages

11concepts

Questions 36–40

36application · medium
A company wants to monitor the health of an Azure SQL database. They need to see metrics such as DTU usage and storage percentage in a dashboard, and they want to be alerted when DTU usage exceeds 90% for 15 minutes. What should they use?
Select an answer first
37expert · hard
A company has a complex application with multiple Azure services. They want to create a comprehensive monitoring solution that includes: 1) real-time metrics, 2) log analysis, 3) alerting, and 4) a unified dashboard. They have a limited budget and want to minimize the number of separate tools. What is the most integrated approach?
Select an answer first
38foundation · easy
Which Azure Storage service is commonly used to store log files as blobs?
Select an answer first
39application · medium
A telemetry company processes millions of IoT device messages per second. They need to ingest this high-velocity data, perform real-time analytics, and then store the raw data for batch processing. What should they use for the ingestion and real-time processing layer?
Select an answer first
40foundation · easy
Which of the following is a feature of Azure Application Insights?
Select an answer first

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Design Solutions for Logging and Monitoring AZ-305 Practice Questions (Page 8)

Questions 36–40

A company wants to monitor the health of an Azure SQL database. They need to see metrics such as DTU usage and storage percentage in a dashboard, and they want to be alerted when DTU usage exceeds 90% for 15 minutes. What should they use?

Which Azure Storage service is commonly used to store log files as blobs?

A telemetry company processes millions of IoT device messages per second. They need to ingest this high-velocity data, perform real-time analytics, and then store the raw data for batch processing. What should they use for the ingestion and real-time processing layer?

Which of the following is a feature of Azure Application Insights?

Keep studying — Design identity, governance, and monitoring solutions