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Data Store ManagementhardMultiple SelectObjective-mapped

DEA-C01 Data Store Management Practice Question

A company uses Amazon Redshift for analytics. They notice that some queries are slow due to data redistribution. The data engineer wants to minimize data movement across nodes. Which table design strategy should be used? (Choose TWO.)

⚠ Common exam trap

Watch out — candidates often confuse distribution keys with sort keys, thinking that sorting alone can reduce data movement, or they assume AUTO distribution always optimizes for joins, when in fact it may default to EVEN or ALL without guaranteeing collocation for specific join patterns.

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

Choose a distribution key that matches the join key for large tables.

When large tables are joined on their distribution keys, Redshift can perform a collocated join, meaning the matching rows are already on the same node slice, eliminating the need to redistribute data across the network. This directly minimizes data movement and speeds up query execution.

Answer analysis

Option-by-option breakdown

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

  • Set the distribution style to AUTO for all tables.

    Why it's wrong here

    AUTO lets Redshift decide, may not minimize redistribution.

  • Define compound sort keys on frequently filtered columns.

    Why it's wrong here

    Sort keys improve range-restricted scans, not redistribution.

  • Choose a distribution key that matches the join key for large tables.

    Why this is correct

    Matching distribution keys on joined tables keeps data co-located.

  • Use EVEN distribution for all tables.

    Why it's wrong here

    EVEN distributes rows evenly but does not reduce redistribution.

  • Use distribution style ALL for small dimension tables.

    Why this is correct

    ALL replicates the table to all nodes, avoiding redistribution.

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