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RAN-DBDEA-00006
Ranvier · DBDEA

Exam DBDEA Topics: platform Difficulty: medium

A data engineering team is migrating a legacy Spark application into a Lakeflow Job. One task in the job must run a compiled JAR that the team maintains. The team would prefer to run the entire job on serverless compute for jobs to avoid managing clusters. Which statement is correct?

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  1. A. The JAR task can run on serverless compute for jobs once the JAR is uploaded as a dependent library
  2. B. The JAR task must run on a serverless SQL warehouse, because SQL warehouses execute compiled artifacts
  3. C. JAR tasks are not supported on serverless compute for jobs — that task needs classic jobs compute
  4. D. Serverless compute for jobs supports every task type; the team only needs to pick a Databricks Runtime version
Reveal answer

Correct answer: JAR tasks are not supported on serverless compute for jobs — that task needs classic jobs compute

Reference: https://docs.databricks.com/aws/en/jobs/compute

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✦ Consolidated Synthesis (Wiki) rev. #1 (baseline) · CC BY-SA 4.0
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Official Answer (C): JAR tasks are not supported on serverless compute for jobs — that task needs classic jobs compute

⚓ Official Documentation Anchor: https://docs.databricks.com/aws/en/jobs/compute
Ranvier · DBDEA

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