A company is designing a monitoring solution for a critical application. They need to monitor both infrastructure metrics (CPU, memory) and application performance (response time, exceptions). They want to use a single tool to view both types of data. What is the best approach?

Use a third-party monitoring tool that integrates with Azure Monitor APIs.

Use Azure Monitor with Application Insights and Log Analytics workspaces to collect and visualize both infrastructure and application data.

Use Azure Monitor Metrics for infrastructure and Application Insights for application data, but keep them separate.

Use Azure Monitor Logs only, and ignore metrics.

A company needs to stream high-volume telemetry from thousands of IoT devices to a third-party analytics platform. The telemetry must be available for near real-time processing, and the company also wants to retain the raw data for 30 days for replay. What should they use?

Use Azure Service Bus to stream the telemetry to the third-party platform.

Send the telemetry directly to a Log Analytics workspace and use log alerts to forward to the third party.

Send the telemetry to an Azure Event Hubs namespace and configure a consumer group for the third-party platform.

Store the telemetry in Azure Blob Storage and use Azure Data Factory to copy it to the third party every hour.

A company has multiple Log Analytics workspaces for different departments. The security team wants to query across all workspaces to find failed login attempts across the entire organization. They want to save this query for reuse. What should they do?

Use Azure Monitor Workbooks to create a query that references each workspace, and save the workbook.

Create a single Log Analytics workspace and migrate all data from the departmental workspaces to it.

Use the Azure Resource Graph to query all workspaces for sign-in logs.

Use a cross-workspace query with the 'workspace()' expression, and save it as a function in one of the workspaces.

Azure Solutions Architect Expert

Domain 1Objective 1

Design Solutions for Logging and Monitoring AZ-305 Practice Questions (Page 6)

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 26–30

26expert · hard
A company is designing a monitoring solution for a critical application. They need to monitor both infrastructure metrics (CPU, memory) and application performance (response time, exceptions). They want to use a single tool to view both types of data. What is the best approach?
Select an answer first
27application · medium
A company needs to stream high-volume telemetry from thousands of IoT devices to a third-party analytics platform. The telemetry must be available for near real-time processing, and the company also wants to retain the raw data for 30 days for replay. What should they use?
Select an answer first
28application · medium
A company has multiple Log Analytics workspaces for different departments. The security team wants to query across all workspaces to find failed login attempts across the entire organization. They want to save this query for reuse. What should they do?
Select an answer first
29foundation · easy
Which two core data types does Azure Monitor primarily collect and analyze?
Select an answer first
30foundation · easy
Which of the following is a key component of Azure Event Hubs?
Select an answer first

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Design Solutions for Logging and Monitoring AZ-305 Practice Questions (Page 6)

Questions 26–30

A company is designing a monitoring solution for a critical application. They need to monitor both infrastructure metrics (CPU, memory) and application performance (response time, exceptions). They want to use a single tool to view both types of data. What is the best approach?

A company needs to stream high-volume telemetry from thousands of IoT devices to a third-party analytics platform. The telemetry must be available for near real-time processing, and the company also wants to retain the raw data for 30 days for replay. What should they use?

A company has multiple Log Analytics workspaces for different departments. The security team wants to query across all workspaces to find failed login attempts across the entire organization. They want to save this query for reuse. What should they do?

Which two core data types does Azure Monitor primarily collect and analyze?

Which of the following is a key component of Azure Event Hubs?

Keep studying — Design identity, governance, and monitoring solutions