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Databricks Certified Data Engineer Associate Exam Databricks-Certified-Data-Engineer-Associate Question # 12 Topic 2 Discussion

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Databricks Certified Data Engineer Associate Exam Databricks-Certified-Data-Engineer-Associate Question # 12 Topic 2 Discussion

Databricks-Certified-Data-Engineer-Associate Exam Topic 2 Question 12 Discussion:
Question #: 12
Topic #: 2

A data engineer is designing an ETL pipeline to process both streaming and batch data from multiple sources The pipeline must ensure data quality, handle schema evolution, and provide easy maintenance. The team is considering using Delta Live Tables (DLT) in Databricks to achieve these goals. They want to understand the key features and benefits of DLT that make it suitable for this use case.

Why is Delta Live Tables (DLT) an appropriate choice?
A.

Automatic data quality checks, built-in support for schema evolution, and declarative pipeline development

B.

Manual schema enforcement, high operational overhead, and limited scalability

C.

Requires custom code for data quality checks, no support for streaming data, and complex pipeline maintenance

D.

Supports only batch processing, no data versioning, and high infrastructure costs

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Actual exam question for Databricks Databricks-Certified-Data-Engineer-Associate exam by Zephyr7130 at Apr 27, 2026, 12:26:03 PM

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