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Data EngineeringeasyMultiple ChoiceObjective-mapped

MLS-C01 Data Engineering Practice Question

A company is using Amazon DynamoDB to store sensor data. The data is exported to Amazon S3 using DynamoDB Streams and AWS Lambda for long-term archival. Recently, the Lambda function has been failing due to 'ProvisionedThroughputExceededException' on the DynamoDB stream. What is the most likely cause?

⚠ Common exam trap

A common misconception in AWS exams is that DynamoDB throttling errors are always related to table write capacity. However, the trap here is that the error is on the stream, not the table, and the root cause is the Lambda consumer's processing speed, not the table's provisioned throughput.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

The Lambda function is processing records too slowly, causing the stream to throttle.

A is correct because the 'ProvisionedThroughputExceededException' on a DynamoDB stream indicates that the stream's read throughput is being throttled. When a Lambda function processes records too slowly, it cannot keep up with the rate of new records being written to the stream, causing the stream shards to throttle the Lambda consumer. This is a common issue when the Lambda function's processing time per record is high or when the function is invoked with a large batch size that exceeds its processing capacity.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • The Lambda function is processing records too slowly, causing the stream to throttle.

    Why this is correct

    Correct: Slow processing can lead to throttling; increasing batch size or concurrency can help.

  • The DynamoDB stream is disabled.

    Why it's wrong here

    Incorrect: If disabled, the function would not receive events at all.

  • The DynamoDB table's write capacity is too low.

    Why it's wrong here

    Incorrect: Write capacity affects writes, not stream reads.

  • The Lambda function does not have enough memory allocated.

    Why it's wrong here

    Incorrect: Memory does not affect stream throughput.

Quick reference

AWS S3 Storage Class Comparison

Storage ClassMin DurationRetrievalUse Case
S3 StandardNoneImmediateFrequently accessed data
S3 Standard-IA30 daysImmediateInfrequent access, rapid retrieval
S3 One Zone-IA30 daysImmediateNon-critical infrequent data
S3 Intelligent-TieringNoneImmediate–hoursUnknown or changing access patterns
S3 Glacier Instant90 daysMillisecondsArchive with instant retrieval
S3 Glacier Flexible90 daysMinutes–hoursArchive, flexible retrieval
S3 Glacier Deep Archive180 daysHoursLong-term compliance archive

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Last reviewed: Jul 4, 2026

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This MLS-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the MLS-C01 exam.