A data platform team is responsible for cost optimization across multiple workspaces. They want to create a unified view of cluster utilization and cost across all workspaces. They plan to use system tables. However, they are concerned about the latency of system tables and need near-real-time data for some metrics. Which approach should they take?

Use the Databricks CLI to query system tables every minute to get near-real-time data.

Use system.billing.usage and system.compute.cluster_details for historical cost analysis, and supplement with the Spark UI or REST API for near-real-time metrics.

Use the Query Profiler UI to get real-time cost metrics for all clusters.

Rely solely on system.billing.usage for both historical and real-time cost monitoring.

In Lakeflow Spark Declarative Pipelines, where can you find event logs that record pipeline execution details, including failures and data quality checks?

In the cluster's driver logs only

In the Spark UI's Executors tab

In the pipeline's event log, accessible via the UI or API

In the system tables under `system.pipelines`

DatabricksCertified Data Engineer Professional

Domain 5Objective 1

Monitoring DATA-ENGINEER-PROFESSIONAL Practice Questions (Page 6)

Part of the Monitoring and Alerting domain, which accounts for 10% of the DATA-ENGINEER-PROFESSIONAL exam. Databricks does not publish an official question count, but from its 120-minute exam (~50–80 total, ~5–8 in this domain), expect 3–4 from this objective — we provide 27 practice questions to prepare you well beyond it. (estimate)

27questions here

6free pages

8concepts

10%of the exam

Questions 26–27

26expert · hard
A data platform team is responsible for cost optimization across multiple workspaces. They want to create a unified view of cluster utilization and cost across all workspaces. They plan to use system tables. However, they are concerned about the latency of system tables and need near-real-time data for some metrics. Which approach should they take?
Select an answer first
27foundation · easy
In Lakeflow Spark Declarative Pipelines, where can you find event logs that record pipeline execution details, including failures and data quality checks?
Select an answer first

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Monitoring DATA-ENGINEER-PROFESSIONAL Practice Questions (Page 6)

Questions 26–27

In Lakeflow Spark Declarative Pipelines, where can you find event logs that record pipeline execution details, including failures and data quality checks?

Keep studying — Monitoring and Alerting