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MLS-C01 Exploratory Data Analysis Practice Question

Network Topology
aws s3api list-objectsbucket my-bucketprefix logs/2023/query 'Contents[?Size > `1000`]'Refer to the exhibit.Output:"Contents": ["Key": "logs/2023/01/01/app.log","Size": 2048},"Key": "logs/2023/01/02/app.log","Size": 4096

Refer to the exhibit. A data scientist runs the AWS CLI command shown and gets the output. The scientist wants to create an Athena table over all log files in the 'logs/2023/' prefix, including files smaller than 1000 bytes. Which approach achieves this?

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

Create the table using LOCATION 's3://my-bucket/logs/2023/' which includes all files under that prefix.

Creating an Athena table with the LOCATION pointing to 's3://my-bucket/logs/2023/' will include all objects under that prefix, regardless of size. The CLI command's --query parameter only filters the output of the list-objects command, but does not impose any restriction on the data or the bucket. Option B is incorrect because a WHERE clause in Athena can only filter rows after the table is defined; it cannot include or exclude files from being read. Option C is incorrect because S3 does not have a built-in size restriction on a bucket; the CLI command is just a client-side query. Option D is incorrect because the CLI command is independent; the table can be created directly without needing to modify the CLI command.

Answer analysis

Option-by-option breakdown

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

  • Create the table using LOCATION 's3://my-bucket/logs/2023/' which includes all files under that prefix.

    Why this is correct

    The table location covers all files regardless of size.

  • Create the table and add a WHERE clause to include small files.

    Why it's wrong here

    WHERE clause filters rows after scan, does not include missing files.

  • Ask the S3 team to remove the size restriction on the bucket.

    Why it's wrong here

    There is no bucket-level size restriction.

  • Modify the CLI command to remove the size filter and re-run it before creating the table.

    Why it's wrong here

    The CLI command is independent of Athena table creation.

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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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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