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Design and implement data storagehardMultiple SelectObjective-mapped

DP-203 Design and implement data storage Practice Question

You are designing a delta lake architecture in Azure Synapse Analytics. Which TWO practices should you follow to ensure ACID transactions and data consistency?

⚠ Common exam trap

Many exam-takers confuse performance optimization (OPTIMIZE) or file format choice (CSV) with ACID transaction guarantees, but the exam specifically tests the understanding that the transaction log is the fundamental enabler of atomicity, consistency, isolation, and durability in Delta Lake.

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

Use the Delta Lake transaction log for all write operations

The Delta Lake transaction log is the core mechanism that enables ACID transactions. Every write operation (insert, update, delete, merge) is recorded as an atomic commit in the transaction log, ensuring that concurrent readers see a consistent snapshot and that partial writes are never visible. Without this log, Delta Lake cannot guarantee atomicity or isolation.

Answer analysis

Option-by-option breakdown

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

  • Disable schema evolution to prevent accidental schema changes

    Why it's wrong here

    Schema evolution is a feature, not a requirement for ACID; disabling it is not a best practice.

  • Run OPTIMIZE commands frequently to compact small files

    Why it's wrong here

    OPTIMIZE improves performance, not ACID compliance.

  • Use the Delta Lake transaction log for all write operations

    Why this is correct

    The transaction log ensures ACID compliance by recording all operations.

  • Store data in CSV format to simplify schema enforcement

    Why it's wrong here

    CSV does not support ACID; Delta Lake uses Parquet.

  • Enable write-ahead logging to support concurrent reads and writes

    Why this is correct

    Write-ahead logging ensures data consistency during concurrent operations.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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