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MLS-C01 Amazon Athena Practice Question

Network Topology
$ aws s3api list-objectsbucket my-data-lakeprefix raw/2019/01/01/Refer to the exhibit.```"Contents": ["Key": "raw/2019/01/01/data.csv","LastModified": "2019-01-01T12:00:00Z","Size": 1073741824

A data scientist runs the above AWS CLI command and gets the output. The object size is 1 GB. They try to open the CSV file in Amazon Athena but get an error. What is the most likely cause?

⚠ Common exam trap

Athena's 100 MB per-file limit for CSV queries without partitioning is often overlooked; candidates may assume the file is too large overall, but partitioning allows much larger datasets.

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 file exceeds the maximum CSV file size that Athena can query without partitioning

Amazon Athena has a default limit of 100 MB per CSV file when querying without partitioning. A 1 GB file exceeds this limit, causing an error. Option A is wrong because CSV is a supported file format in Athena. Option C is wrong while gzip compression is supported, it is not required; the issue is file size, not compression. Option D is wrong because Athena can query large files, but only if they are properly partitioned or if the file size is within the per-file limit.

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 file format is not supported by Athena

    Why it's wrong here

    Athena supports CSV.

  • The file exceeds the maximum CSV file size that Athena can query without partitioning

    Why this is correct

    Athena has a 100 MB limit for CSV files when not partitioned.

  • The file is not compressed with gzip

    Why it's wrong here

    Athena supports gzip compression.

  • The file is too large for Athena to query at all

    Why it's wrong here

    Athena can query larger files if partitioned or using other formats.

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Last reviewed: Jun 20, 2026

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