The correct choice is to implement an Azure Monitor Data Collection Rule with a schedule-based filter. This feature allows you to define conditional triggers that activate detailed log capture only when specific performance degradation events occur, directly addressing the need to avoid permanently storing large volumes of telemetry. The schedule-based filter within a Data Collection Rule acts as a gate, enabling granular diagnostic data collection exactly when needed—such as during intermittent slowdowns—while suppressing continuous high-volume ingestion. On the AZ-305 exam, this scenario tests your ability to balance observability with cost optimization, often appearing as a trap where candidates mistakenly choose a Log Analytics workspace with retention policies or a diagnostic setting, which lack the conditional, event-driven trigger of a DCR filter. Remember the key distinction: retention policies manage storage after data is collected, but a schedule-based filter prevents unnecessary collection in the first place. Memory tip: think of it as a “smart faucet” that only turns on when the pipe rattles.
AZ-305 Practice Question: Design identity, governance, and monitoring solutions
This AZ-305 practice question tests your understanding of design identity, governance, and monitoring solutions. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
You are designing a monitoring solution for a global e-commerce application hosted on Azure. The application experiences intermittent performance degradation that is difficult to reproduce. You need to ensure that you can capture detailed diagnostic data when the degradation occurs, without permanently storing large amounts of data. Which Azure feature should you use?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Implement an Azure Monitor Data Collection Rule with a schedule-based filter to capture detailed logs during degradation.
Option B is correct because Azure Monitor Data Collection Rules (DCRs) allow you to define a schedule-based filter that triggers detailed log collection only during specific conditions, such as when performance degradation is detected. This enables capturing granular diagnostic data exactly when needed without permanently storing large volumes of telemetry, aligning with the requirement to avoid persistent high storage costs.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
Use Application Insights continuous export to send all telemetry to a storage account.
Why it's wrong here
Continuous export stores all data, which is not desired.
✓
Implement an Azure Monitor Data Collection Rule with a schedule-based filter to capture detailed logs during degradation.
Why this is correct
DCRs allow conditional data collection, enabling targeted troubleshooting.
Related concept
Read the scenario before looking for a memorised answer.
✗
Configure a Log Analytics workspace to collect all performance counters and IIS logs.
Why it's wrong here
This would permanently store large amounts of data, which is not desired.
✗
Enable Azure Metrics for the application to monitor performance in real-time.
Why it's wrong here
Metrics are aggregated and do not provide detailed diagnostic data.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse continuous data collection (options A, C, D) with conditional data capture, overlooking that Data Collection Rules can be dynamically enabled or disabled via schedule or alert triggers to meet the 'capture only when needed' requirement.
Detailed technical explanation
How to think about this question
Data Collection Rules in Azure Monitor use a declarative schema (JSON) to define data sources, transforms (via KQL), and destinations. A schedule-based filter can be implemented by combining a DCR with a data collection endpoint (DCE) and using a timer trigger or an Azure Function to enable/disable the rule based on performance thresholds. This approach leverages the 'Stream - Declaration' structure to dynamically control data ingestion, ensuring verbose logs (e.g., ETW events, SQL Server Profiler traces) are captured only during degradation windows, thus optimizing both cost and diagnostic fidelity.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this AZ-305 question in full detail.
Design identity, governance, and monitoring solutions — This question tests Design identity, governance, and monitoring solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Implement an Azure Monitor Data Collection Rule with a schedule-based filter to capture detailed logs during degradation. — Option B is correct because Azure Monitor Data Collection Rules (DCRs) allow you to define a schedule-based filter that triggers detailed log collection only during specific conditions, such as when performance degradation is detected. This enables capturing granular diagnostic data exactly when needed without permanently storing large volumes of telemetry, aligning with the requirement to avoid persistent high storage costs.
What should I do if I get this AZ-305 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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