The correct answer is that the workbook displays CPU utilization averaged over 5-minute intervals. This is because the ARM template configures an Azure Monitor Workbook to query the `InsightsMetrics` table for the `cpu_usage_percentage` metric, using the `summarize` operator with `bin(TimeGenerated, 5m)` and the `avg` aggregation, which explicitly groups raw 1-minute data points collected by the Azure Monitor Agent into 5-minute buckets and averages them. On the Microsoft Azure Solutions Architect Expert AZ-305 exam, this tests your understanding of how Azure Monitor Workbooks query and aggregate metrics, specifically the difference between raw collection granularity and the display interval defined by the time grain in the KQL query. A common trap is confusing the agent’s default 1-minute collection frequency with the workbook’s 5-minute display interval—remember, the `bin` operator controls the output, not the input. Memory tip: “Bin to five, avg to thrive” reminds you that `bin(TimeGenerated, 5m)` sets the interval, and `avg` provides the per-interval value.
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. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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.
Exhibit
Refer to the exhibit.
{
"location": "eastus",
"properties": {
"workbooks": [
{
"kind": "shared",
"displayName": "CPU Utilization",
"serializedData": "{\"version\":\"Notebook/1.0\",\"items\":[{\"type\":9,\"content\":{\"query\":\"Perf | where ObjectName == \\\"Processor\\\" and CounterName == \\\"% Processor Time\\\" | summarize avg=avg(CounterValue) by Computer, bin(TimeGenerated, 5m) | render timechart\",\"size\":0,\"queryType\":0,\"resourceType\":\"microsoft.operationalinsights/workspaces\",\"visualization\":\"timechart\"}}]}",
"category": "workbook"
}
]
}
}
Refer to the exhibit. You deploy this ARM template to create an Azure Monitor Workbook. The template deploys successfully. What will the workbook display?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
CPU utilization averaged over 5-minute intervals.
The ARM template configures an Azure Monitor Workbook to query the `InsightsMetrics` table for the `cpu_usage_percentage` metric, which is collected by Azure Monitor Agent (AMA) at a default granularity of 1 minute. The workbook uses the `avg` aggregation and a time grain of `5m` (5 minutes) in the query, so it displays CPU utilization averaged over 5-minute intervals. The `summarize` operator with `bin(TimeGenerated, 5m)` explicitly groups data into 5-minute buckets, making option B correct.
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.
✗
CPU utilization averaged over 1-hour intervals.
Why it's wrong here
The bin is 5m, not 1h.
✓
CPU utilization averaged over 5-minute intervals.
Why this is correct
The query uses Processor % Processor Time, summarizes avg over 5min, and renders timechart.
Related concept
Read the scenario before looking for a memorised answer.
✗
Memory utilization over time.
Why it's wrong here
The query uses Processor object, not Memory.
✗
Disk I/O utilization over time.
Why it's wrong here
The query uses Processor counters, not disk.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates assume the default collection interval (1 minute) determines the display granularity, but the `bin()` function in the KQL query explicitly overrides that to 5-minute averages, making option B correct instead of a 1-hour or raw interval.
Detailed technical explanation
How to think about this question
Azure Monitor Workbooks use Kusto Query Language (KQL) to query Log Analytics workspaces. The `InsightsMetrics` table stores performance counters collected by the Azure Monitor Agent, with a default collection interval of 60 seconds for CPU metrics. The `bin()` function in KQL creates fixed-size time buckets; here, `5m` groups raw 1-minute samples into 5-minute averages, effectively smoothing short-term spikes. This is common in dashboards to reduce noise while retaining trend visibility.
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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
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: CPU utilization averaged over 5-minute intervals. — The ARM template configures an Azure Monitor Workbook to query the `InsightsMetrics` table for the `cpu_usage_percentage` metric, which is collected by Azure Monitor Agent (AMA) at a default granularity of 1 minute. The workbook uses the `avg` aggregation and a time grain of `5m` (5 minutes) in the query, so it displays CPU utilization averaged over 5-minute intervals. The `summarize` operator with `bin(TimeGenerated, 5m)` explicitly groups data into 5-minute buckets, making option B correct.
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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