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Data Operations and SupportmediumMultiple ChoiceObjective-mapped

DEA-C01 Data Operations and Support Practice Question

Exhibit

2024-01-15T10:30:00Z ERROR 123456789012 i-0abcd1234efgh5678 {"errorCode": "InvalidS3ObjectException", "errorMessage": "The specified S3 object is not a valid Parquet file."}

Refer to the exhibit. A data engineer sees this error in CloudWatch Logs from an AWS Glue ETL job. The job reads from an S3 location that contains both .parquet and .csv files. What is the most likely cause?

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 job is reading a CSV file that was incorrectly placed in the directory with .parquet extension.

The error indicates that the job encountered an object that is not a valid Parquet file. Since the S3 location contains both .parquet and .csv files, the Glue job likely attempted to read a CSV file as if it were Parquet, causing the invalid Parquet error. Option C is correct because the CSV file was incorrectly placed in the directory with a .parquet extension (or the job's schema inference expects all files to be Parquet). Option A is incorrect because the error is about format, not a missing file. Option B is incorrect because the error is about the object's format, not a permissions issue. Option D is incorrect because insufficient memory would typically cause out-of-memory or capacity errors, not an invalid Parquet error.

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 S3 object was deleted during the job execution.

    Why it's wrong here

    Deletion would cause a different error.

  • The IAM role does not have permission to read the S3 object.

    Why it's wrong here

    Permission errors would be AccessDenied.

  • The job is reading a CSV file that was incorrectly placed in the directory with .parquet extension.

    Why this is correct

    The file might have .parquet extension but be CSV, or the job is reading all files regardless of extension.

  • The Glue job does not have enough memory to parse the Parquet file.

    Why it's wrong here

    Memory issues cause different errors.

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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