Microsoft Certified: Fabric Analytics Engineer AssociatePlan and implement data analytics solutions (10-15%)Hard
A data architect is planning the ingestion of real-time streaming data from IoT devices into a Microsoft Fabric Lakehouse. The data arrives continuously in small, frequent batches. To ensure data consistency and prevent partial reads by downstream consumers, each micro-batch must be committed atomically to the Lakehouse table. Which Delta Lake feature provides this guarantee?
- AZ-ordering.
- BSchema evolution.
- CTime travel.
- DACID transactions.
Show answer & explanationAnswer & explanation
Correct answer: D. ACID transactions.
ACID (Atomicity, Consistency, Isolation, Durability) transactions are a core feature of Delta Lake that guarantees that each write operation (like ingesting a micro-batch) is treated as a single, indivisible unit. This ensures that either the entire batch is committed successfully, or none of it is, preventing partial reads and maintaining data consistency.
Why the other options are wrong
- A. Z-ordering is an optimization technique to co-locate related data for faster queries, not a guarantee for transactional integrity.
- B. Schema evolution allows for changes to a table's schema over time without breaking existing pipelines, but it doesn't guarantee atomic commits.
- C. Time travel allows querying previous versions of a Delta table, which is related to durability but not directly to atomic commits of new data.
Delta Lake ACID Transactions
Delta Lake provides ACID (Atomicity, Consistency, Isolation, Durability) properties to data operations, ensuring reliability for data writes and reads, especially critical for streaming and concurrent workloads.
- Atomicity: All or nothing changes.
- Consistency: Data always in a valid state.
- Isolation: Concurrent operations don't interfere.
- Durability: Committed changes are permanent.
Memory trick: ACID ensures your data is always valid and sound!