What is the purpose of a write-ahead log in Structured Streaming?

To record the offsets of data that has been processed before committing the results

To provide a backup of the entire streaming query

To store the actual data being processed

To improve the performance of the streaming query

DatabricksCertified Associate Developer for Apache Spark

Domain 5Objective 1

Explain the Structured Streaming Engine in Spark, Including Its Functions, Programming Model, Micro-Batch Processing, Exactly-Once Semantics, and Fault Tolerance Mechanisms. ASSOCIATE-DEVELOPER-APACHE-SPARK Practice Questions (Page 5)

Part of the Structured Streaming domain, which accounts for 10% of the ASSOCIATE-DEVELOPER-APACHE-SPARK exam. Databricks does not publish an official question count, but from its 90-minute exam (~35–60 total, ~4–6 in this domain), expect 1–2 from this objective — we provide 21 practice questions to prepare you well beyond it. (estimate)

21questions here

5free pages

5concepts

10%of the exam

Questions 21–21

21foundation · easy
What is the purpose of a write-ahead log in Structured Streaming?
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Explain the Structured Streaming Engine in Spark, Including Its Functions, Programming Model, Micro-Batch Processing, Exactly-Once Semantics, and Fault Tolerance Mechanisms. ASSOCIATE-DEVELOPER-APACHE-SPARK Practice Questions (Page 5)

Questions 21–21

What is the purpose of a write-ahead log in Structured Streaming?

Keep studying — Structured Streaming