DP-203 Practice Question: Secure, monitor, and optimize data storage and data processing
Exhibit
Refer to the exhibit. KQL query: AzureDiagnostics | where ResourceProvider == "MICROSOFT.DATAFACTORY" | where Category == "ActivityRuns" | where Status == "Failed" | summarize count() by PipelineName, bin(TimeGenerated, 1h) | order by count_ desc
Refer to the exhibit. You run the Kusto query in Azure Monitor Logs to analyze Data Factory pipeline runs. What is the purpose of this query?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Identify pipelines with the most failed activity runs per hour
The query filters pipeline runs with a status of 'Failed', groups them by pipeline name and hourly time bins, then counts the number of failed activity runs per hour. The results are sorted descending by count, making it easy to identify which pipelines have the most failed activity runs per hour. Therefore, option B is correct. Option A is incorrect because the query only includes failed runs, not all runs. Option C is incorrect because the query counts runs, not calculates duration. Option D is incorrect because the query filters on pipeline runs, not trigger runs.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
List all pipeline runs regardless of status
Why it's wrong here
Only failed runs are included.
- ✓
Identify pipelines with the most failed activity runs per hour
Why this is correct
The query counts failed runs per pipeline per hour and sorts descending.
- ✗
Calculate the average duration of failed pipeline runs
Why it's wrong here
Duration is not included in the query.
- ✗
Show the number of failed trigger runs per hour
Why it's wrong here
The category is ActivityRuns, not TriggerRuns.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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