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Data Ingestion and TransformationhardMultiple SelectObjective-mapped

DEA-C01 Data Ingestion and Transformation Practice Question

A data engineer is designing a data ingestion pipeline that uses AWS DMS to migrate data from an on-premises Oracle database to Amazon S3 in Parquet format. The engineer needs to ensure that data is continuously replicated with minimal latency. Which THREE steps should the engineer take? (Choose three.)

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

Configure a DMS task with a transformation rule to convert to Parquet.

Options A, B, and D are correct. To continuously replicate data with minimal latency from Oracle to Amazon S3 in Parquet format, the engineer should: (A) configure a DMS task with a transformation rule to convert to Parquet, (B) specify an S3 bucket as the target endpoint with data format set to Parquet, and (D) enable change data capture (CDC) on the source database. Option C (using AWS SCT) is incorrect because SCT is for schema conversion, not for DMS replication. Option E (full load only) is incorrect because it does not provide continuous replication.

Answer analysis

Option-by-option breakdown

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

  • Configure a DMS task with a transformation rule to convert to Parquet.

    Why this is correct

    Correct. A transformation rule in the DMS task converts the data to Parquet format during migration.

  • Specify an S3 bucket as the target endpoint with data format set to Parquet.

    Why this is correct

    Correct. The S3 target endpoint must be configured with Parquet as the data format to store the output correctly.

  • Use AWS Schema Conversion Tool (SCT) to convert the schema.

    Why it's wrong here

    Incorrect. AWS SCT is used for schema conversion between different database engines, not for configuring DMS replication tasks.

  • Enable change data capture (CDC) on the source database.

    Why this is correct

    Correct. Enabling CDC on the source Oracle database allows DMS to capture ongoing changes for continuous replication.

  • Perform a full load only, without CDC.

    Why it's wrong here

    Incorrect. A full load only migrates existing data once and does not capture ongoing changes, so it does not meet the requirement for continuous replication with minimal latency.

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

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