You want to implement exactly-once processing semantics in a Kappa architecture using Kafka and Spark Structured Streaming. Which combination is correct?

hard📝 Application Q9 of 15

Hadoop - Modern Data Architecture with Hadoop

AEnable Kafka transactions and use checkpointing in Spark

BDisable checkpointing and rely on Kafka offsets only

CUse batch processing with Kafka for exactly-once

DUse Spark streaming without checkpointing for speed

Step-by-Step Solution

Solution:

Step 1: Understand exactly-once semantics requirements
Exactly-once requires Kafka transactions and Spark checkpointing to track progress.
Step 2: Evaluate options
Disabling checkpointing or batch processing breaks exactly-once guarantees.
Final Answer:
Enable Kafka transactions and use checkpointing in Spark -> Option A
Quick Check:
Exactly-once = Kafka transactions + Spark checkpointing [OK]

Quick Trick: Transactions + checkpointing = exactly-once [OK]

Common Mistakes:

Ignoring checkpointing importance
Thinking batch processing ensures exactly-once in Kappa
Disabling checkpointing for performance

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More Hadoop Quizzes

You want to implement exactly-once processing semantics in a Kappa architecture using Kafka and Spark Structured Streaming. Which combination is correct?

Step 1: Understand exactly-once semantics requirements

Step 2: Evaluate options

Final Answer:

Quick Check:

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