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Data Operations and SupporthardMultiple ChoiceObjective-mapped

DEA-C01 Data Operations and Support Practice Question

A company uses Amazon Redshift for data warehousing. They notice that queries are running slowly, and the STL_LOAD_ERRORS table shows many 'Parse error' entries. The data is loaded from Amazon S3 using COPY commands. What is the MOST likely cause of the parse errors?

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 source data files have a different schema or delimiter than what is specified in the COPY command.

Parse errors during COPY typically indicate that the source data does not match the target table schema (e.g., data type mismatch or delimiter issues). Option B is incorrect because insufficient compute nodes would cause performance degradation, not parse errors. Option C is incorrect because IAM permission issues would cause access denied errors, not parse errors. Option D is incorrect because unsupported compression formats would cause decompression errors, not parse errors.

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 source data files have a different schema or delimiter than what is specified in the COPY command.

    Why this is correct

    Schema mismatch leads to parse errors.

  • The Redshift cluster does not have enough compute nodes to process the data.

    Why it's wrong here

    Resource insufficiency leads to slow performance, not parse errors.

  • The IAM role used by Redshift does not have permission to decrypt the S3 objects.

    Why it's wrong here

    Permission issues cause access errors, not parse errors.

  • The source data files are compressed using an unsupported compression format.

    Why it's wrong here

    Unsupported compression would cause decompression errors, not parse 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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