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  1. Home
  2. GAQM Certification
  3. Databricks-Certified-Data-Engineer-Associate Exam
  4. GAQM.Databricks-Certified-Data-Engineer-Associate.v2026-07-23.q248 Dumps
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Question 156

Which of the following benefits of using the Databricks Lakehouse Platform is provided by Delta Lake?

Correct Answer: D
Delta Lake is the optimized storage layer that provides the foundation for storing data and tables in the Databricks lakehouse. Delta Lake is fully compatible with Apache Spark APIs, and was developed for tight integration with Structured Streaming, allowing you to easily use a single copy of data for both batch and streaming operations and providing incremental processing at scale1. Delta Lake supports upserts using the merge operation, which enables you to efficiently update existing data or insert new data into your Delta tables2. Delta Lake also provides time travel capabilities, which allow you to query previous versions of your data or roll back to a specific point in time3. Reference: 1: What is Delta Lake? | Databricks on AWS 2: Upsert into a table using merge | Databricks on AWS 3: [Query an older snapshot of a table (time travel) | Databricks on AWS] Learn more
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Question 157

A data engineering team has noticed that their Databricks SQL queries are running too slowly when they are submitted to a non-running SQL endpoint. The data engineering team wants this issue to be resolved.
Which of the following approaches can the team use to reduce the time it takes to return results in this scenario?

Correct Answer: E
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Question 158

Which of the following commands can be used to write data into a Delta table while avoiding the writing of duplicate records?

Correct Answer: B
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Question 159

A data engineer that is new to using Python needs to create a Python function to add two integers together and return the sum?
Which of the following code blocks can the data engineer use to complete this task?

Correct Answer: E
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Question 160

A data engineer has a Declarative Automation Bundle with a job resource keyed as etl_job in databricks.yml. After running databricks bundle deploy, the job appears in the workspace but has not executed.
Which command triggers execution of the deployed job?

Correct Answer: D
Deploying a bundle creates or updates the resources defined in its configuration, but deployment does not automatically execute those resources. The databricks bundle run command starts a deployed job or pipeline by using its resource key from the bundle configuration. Because the job is keyed as etl_job, the correct command is databricks bundle run etl_job. The command bundle deploy run is not valid CLI syntax, and bundle execute is not the command used to run a bundle resource. databricks jobs submit creates and runs a one-time job from a supplied JSON definition rather than executing the job already managed by the bundle. Therefore, option D correctly triggers the deployed job while preserving the bundle-managed resource configuration.
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