The answer is monitoring data volume, retention period, and alerting latency and frequency. These three factors are critical because they directly govern the cost-performance trade-off in Azure Monitor: data ingestion and retention are billed per gigabyte, while alerting latency and frequency determine how quickly your system can react to failures. For a critical application demanding high availability and low latency, you must balance granular telemetry against budget constraints to avoid runaway costs that could undermine operational sustainability. On the Microsoft Azure Solutions Architect Expert AZ-305 exam, this scenario tests your ability to design a monitoring solution that meets both reliability and financial requirements, often appearing as a multi-select question where a common trap is choosing “number of metrics” instead of “data volume” — remember that volume drives cost, not metric count. A useful memory tip is “V-R-A”: Volume, Retention, Alerting frequency — the three pillars of cost-conscious high-availability monitoring.
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.
Which THREE should you consider when designing a monitoring solution for a critical application that requires high availability and low latency? (Choose three.)
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Data volume and associated costs
Option B is correct because monitoring data volume directly impacts cost, especially in Azure Monitor where data ingestion and retention are billed per GB. For a critical application with high availability and low latency, you must balance the granularity of monitoring data against budget constraints to avoid unexpected costs that could compromise operational sustainability.
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.
✗
Dashboard visual appeal and color scheme
Why it's wrong here
Aesthetics are secondary to functionality.
✓
Data volume and associated costs
Why this is correct
Volume directly impacts cost and performance.
Related concept
Read the scenario before looking for a memorised answer.
✓
Log retention period and archival strategy
Why this is correct
Retention affects cost and ability to troubleshoot historical issues.
Related concept
Read the scenario before looking for a memorised answer.
✓
Alerting latency and frequency
Why this is correct
Low latency is crucial for critical applications.
Related concept
Read the scenario before looking for a memorised answer.
✗
Custom metric creation for all application counters
Why it's wrong here
Not all counters need custom metrics; standard metrics may suffice.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse 'monitoring solution design' with 'dashboard aesthetics' or assume more metrics always improve observability, ignoring the cost and latency trade-offs inherent in Azure Monitor's pay-per-GB model.
Detailed technical explanation
How to think about this question
Azure Monitor charges for data ingestion at $2.30 per GB for standard logs and $0.50 per GB for basic logs, with retention costs scaling linearly. For a critical application, you must design a log retention policy (e.g., 30 days hot, then archive to Azure Storage) and set alerting frequency (e.g., every 1 minute for latency thresholds) to avoid alert fatigue and ensure timely response, while keeping data volume manageable through sampling or filtering.
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: Data volume and associated costs — Option B is correct because monitoring data volume directly impacts cost, especially in Azure Monitor where data ingestion and retention are billed per GB. For a critical application with high availability and low latency, you must balance the granularity of monitoring data against budget constraints to avoid unexpected costs that could compromise operational sustainability.
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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