DP-203 Question #426: Real Exam Question with Answer & Explanation

Question

You have an Azure subscription that contains an Azure Synapse Analytics workspace named Workspace1, a Log Analytics workspace named Workspace2, and an Azure Data Lake Storage Gen2 container named Container1. Workspace1 contains an Apache Spark job named Job1 that writes data to Container1. Workspace1 sends diagnostics to Workspace2. From Synapse Studio, you submit Job1. What should you use to review the LogQuery output of the job?

Options

• Athe files in the result subfolder of Container1
• Bthe Spark monitoring URL returned after Job1 is submitted
• Ca table in Workspace2
• Dthe Apache Spark applications option on the Monitor tab

Explanation

When a Spark job is submitted from Synapse Studio, the built-in Monitor hub provides real-time and historical diagnostics including logs and output directly within the workspace UI.

Common mistakes.

• A. Container1 result subfolders store job output data written by the application, not diagnostic log streams or LogQuery telemetry.
• B. The Spark monitoring URL provides cluster-level Spark UI metrics such as DAG stages and task timings, but does not surface LogQuery diagnostic output sent to Log Analytics.
• C. While Workspace2 (Log Analytics) receives diagnostics from Workspace1, querying a Log Analytics table requires opening the Log Analytics workspace separately and writing KQL queries, and is not the intended path for reviewing output directly after submitting a job from Synapse Studio.

Concept tested. Monitoring Apache Spark jobs in Synapse Studio

Reference. https://learn.microsoft.com/en-us/azure/synapse-analytics/monitoring/apache-spark-applications

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