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Monitor and optimize an analytics solution Questions

Practice questions for Monitor and optimize an analytics solution topic in Microsoft Certified: Fabric Data Engineer Associate. 62 questions covering this domain.

62 questions14 easy28 medium20 hard
Q1
easy

When you enable Workspace Monitoring for pipelines, what does Fabric create to store logs?

Q2
medium

A Dataflow Gen2 was updated through Git sync, but refresh still runs the previous definition. What should the engineer do next?

Q3
hard

Two users run eventhouse queries concurrently. One query runs for 3 minutes and the other for 5 minutes. According to eventhouse monitoring, what are ...

Q4
medium

What validation behavior occurs when a Dataflow Gen2 is saved?

Q5
hard

After branching development to another workspace, multiple Dataflow Gen2 refreshes fail because the staging lakehouse couldn't be found. What is the d...

Q6
medium

A pipeline run failed midway, and the engineer wants to retry only the failed portion from the monitoring experience. What can they do?

Q7
easy

What is the documented delivery guarantee for Fabric eventstreams?

Q8
hard

Queries against an eventhouse became slower because not all active data is stored in the Premium cache tier. Which setting should the engineer review ...

Q9
easy

To inspect recent executions of a pipeline directly from the workspace, which option should you select?

Q10
medium

Which Eventhouse URI should a connector use when it needs to ingest data rather than run queries?

Q11
medium

Which table in the Monitoring Eventhouse captures pipeline-level events such as run status, timestamps, and diagnostics?

Q12
medium

What does the Gantt view in pipeline monitoring help you see?

Q13
medium

Which metric is explicitly shown for top queried databases in eventhouse system overview?

Q14
easy

In eventhouse system overview, what does the Missing capacity state indicate?

Q15
medium

A Dataflow Gen2 was last saved after February 1, 2026. During refresh, publishing of the latest saved version fails. What happens?

Q16
hard

A support team wants log-level visibility across workspace items and needs to analyze pipeline success trends and error details with KQL. Which capabi...

Q17
medium

A Spark notebook in Fabric runs slowly on small inputs. Which Fabric Spark feature reduces session start time so short jobs aren't dominated by cold s...

Q18
hard

A team observes that long-running notebooks consume capacity even when idle. Which Fabric Spark feature stops idle sessions to reclaim CU?

Q19
easy

Which view in a Fabric data pipeline run shows activity dependencies and durations as a timeline?

Q20
easy

What is the unit Fabric uses to meter compute consumption across workloads?

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