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Reference: https://www.databricks.com/learn/certification/data-engineer-associate
Databricks Certified Data Engineer Associate Sample Questions:
A data engineering team wants to validate a new ingestion pipeline locally while ensuring large aggregations run in serverless compute in their Databricks workspace. They plan to use Databricks Connect and have the option to attach to either a shared cluster or serverless.
Which workspace requirement should be confirmed first to avoid connection failures?
- A. Verify that the local Spark version equals the serverless Spark version to satisfy Spark Connect parity.
- B. Verify that only assigned access mode clusters are used because serverless is not supported by Databricks Connect.
- C. Verify that the workspace has Unity Catalog disabled and the Databricks Connect version is less than the serverless Runtime version.
- D. Verify that the workspace has Unity Catalog enabled and that the Databricks Connect version supports serverless for the target Runtime release.
Correct Answer: D 🗳️
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In a Lakeflow Declarative Pipeline, a data engineer needs one dataset that appends new Kafka records incrementally and another that always reflects the full, recomputed result of a join across two dimensions.
Which dataset types should be used, respectively?
- A. Materialized view and streaming table
- B. Temporary view and external table
- C. Streaming table and materialized view
- D. Streaming table and streaming table
Correct Answer: C 🗳️
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What is the structure of an Asset Bundle?
- A. A compressed archive (ZIP) that solely contains workspace assets without any accompanying metadata
- B. A Docker image containing runtime environments and the source code of the assets
- C. A single plain text file enumerating the names of assets to be migrated to a new workspace
- D. A YAML configuration file that specifies the artifacts, resources, and configurations for the project
Correct Answer: D 🗳️
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Which of the following benefits is provided by the array functions from Spark SQL?
- A. An ability to work with data within certain partitions and windows
- B. An ability to work with an array of tables for procedural automation
- C. An ability to work with data in a variety of types at once
- D. An ability to work with complex, nested data ingested from JSON files
- E. An ability to work with time-related data in specified intervals
Correct Answer: D 🗳️
A data engineer wants to read only a subset of columns from a Delta table to reduce memory usage and improve performance. Which Spark DataFrame operation should be used?
- A. groupBy
- B. filter
- C. select
- D. orderBy
Correct Answer: C 🗳️
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