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Databricks Certification Databricks-Certified-Data-Engineer-Associate

Databricks-Certified-Data-Engineer-Associate

Exam Code: Databricks-Certified-Data-Engineer-Associate

Exam Name: Databricks Certified Data Engineer Associate Exam

Updated: Oct 22, 2026

Q&A Number: 322 Q&As

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Databricks Databricks-Certified-Data-Engineer-Associate Exam Syllabus Topics:

TopicDetails
Topic 1
  • ELT with Apache Spark: It focuses on extracting data, identifying the prefix, creating a view, duplicating rows, creating a new table, utilizing the dot, parsing JSON, and defining a SQL UDF. Moreover, the topic delves into describing the security model, identifying the location of a function, and identifying the PIVOT.
Topic 2
  • Incremental Data Processing: In this topic questions about identifying Delta Lake, benefits of ACID transactions, a scenario to use an external table, location of a table, the benefits of Zordering, the kind of files, CTAS as a solution, the impact of ON VIOLATION DROP ROW and ON VIOLATION FAIL UPDATE, and the necessary component to create a new DLT pipeline. Moreover, the topic also discusses directory structure of Delta Lake files, generated column, adding a table comment, and the benefits of the MERGE command.
Topic 3
  • Databricks Lakehouse Platform: This topic covers the relationship between the data lakehouse and the data warehouse, the improvement in data quality, comparing and contrasting silver and gold tables, elements of the Databricks Platform Architecture, and differentiating between all-purpose clusters and jobs clusters. Moreover, it identifies how cluster software is versioned, how clusters can be filtered, how to use multiple languages, how to run one notebook, how notebooks can be shared, Git operations, and limitations in Databricks Notebooks. Lastly, the topic describes how clusters are terminated, how to use multiple languages, and how Databricks Repos enables CI
  • CD workflows.
Topic 4
  • Data Governance: It identifies one of the four areas of data governance, Unity Catalog securables, and the cluster security modes. It also discusses how to create a UC-enabled all-purpose cluster and a DBSQL warehouse. The topic explains how to implement data object access control, create a DBSQL warehouse, and e a UC-enabled all-purpose cluster.
Topic 5
  • Production Pipelines: It focuses on identifying the advantages of using multiple tasks in Jobs, a suitable scenario where predecessor task should be set up, CRON as an opportunity for scheduling opportunity, and how an alert can be sent via email. The topic also discusses setting up a predecessor task in Jobs, reviewing a task's execution history, and debugging a failed task. Lastly, it delves into setting up a retry policy in case of failure and creating an alert in the case of a failed task.

Reference: https://www.databricks.com/learn/certification/data-engineer-associate

Databricks Certified Data Engineer Associate Sample Questions:

Question #1
A data engineer is configuring a batch processing job in Databricks to read large Parquet datasets from cloud storage. The engineer wants Spark to automatically distribute computation across multiple worker nodes without manually assigning tasks. Which Spark abstraction enables automatic parallel processing?

A. DataFrame
B. Cluster
C. Executor
D. Driver


Question #2
A data engineer wants to create an external table in Databricks that references data stored in an Azure Data Lake Storage (ADLS) location. The goal is to enable Databricks to access and query this external data without moving it into the Databricks-managed storage. Which step should the data engineer take to successfully create the external table?

A. Use the CREATE TABLE statement and specify the LOCATION clause with the path to the external data.
B. CREATE EXTERNAL TABLE statement without specifying a LOCATION clause.
C. Use the CREATE MANAGED TABLE statement and specify the LOCATION clause with the path to the external data.
D. CREATE UNMANAGED TABLE statement without specifying a LOCATION clause.


Question #3
A data engineer needs access to a table new_table, but they do not have the correct permissions.
They can ask the table owner for permission, but they do not know who the table owner is.
Which of the following approaches can be used to identify the owner of new_table?

A. Review the Owner field in the table's page in Data Explorer
B. There is no way to identify the owner of the table
C. Review the Owner field in the table's page in the cloud storage solution
D. Review the Permissions tab in the table's page in Data Explorer
E. All of these options can be used to identify the owner of the table


Question #4
A single Job runs two notebooks as two separate tasks. A data engineer has noticed that one of the notebooks is running slowly in the Job's current run. The data engineer asks a tech lead for help in identifying why this might be the case.
Which of the following approaches can the tech lead use to identify why the notebook is running slowly as part of the Job?

A. There is no way to determine why a Job task is running slowly.
B. They can navigate to the Tasks tab in the Jobs UI and click on the active run to review the processing notebook.
C. They can navigate to the Runs tab in the Jobs UI and click on the active run to review the processing notebook.
D. They can navigate to the Runs tab in the Jobs UI to immediately review the processing notebook.
E. They can navigate to the Tasks tab in the Jobs UI to immediately review the processing notebook.


Question #5
A data engineer and data analyst are working together on a data pipeline. The data engineer is working on the raw, bronze, and silver layers of the pipeline using Python, and the data analyst is working on the gold layer of the pipeline using SQL. The raw source of the pipeline is a streaming input. They now want to migrate their pipeline to use Delta Live Tables.
Which of the following changes will need to be made to the pipeline when migrating to Delta Live Tables?

A. The pipeline will need to be written entirely in SQL
B. The pipeline will need to be written entirely in Python
C. The pipeline will need to use a batch source in place of a streaming source
D. None of these changes will need to be made
E. The pipeline will need to stop using the medallion-based multi-hop architecture


Solutions:

Question #1
Correct Answer: A
Question #2
Correct Answer: A
Question #3
Correct Answer: A
Question #4
Correct Answer: C
Question #5
Correct Answer: D

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