Databricks-Certified-Data-Engineer-Associate practice materials Questions Answers

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Databricks-Certified-Data-Engineer-Associate
Exam Name:
Databricks Certified Data Engineer Associate Exam
Last Update:
Jun 01,2026

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Page: 1 / 9
Total Questions: 45

Questions & Answers PDF

• Question 1

  

  A data engineer is maintaining a data pipeline. Upon data ingestion, the data engineer notices that the source data is starting to have a lower level of quality. The data engineer would like to automate the process of monitoring the quality level.Which of the following tools can the data engineer use to solve this problem?

  • Unity Catalog
  • Data Explorer
  • Delta Lake
  • Delta Live Tables
  • Auto Loader

  Reveal Answer Answer: C Next Question

• Question 2

  

  A data engineer has a single-task Job that runs each morning before they begin working. After identifying an upstream data issue, they need to set up another task to run a new notebook prior to the original task.Which of the following approaches can the data engineer use to set up the new task?

  • They can clone the existing task in the existing Job and update it to run the new notebook.
  • They can create a new task in the existing Job and then add it as a dependency of the original task.
  • They can create a new task in the existing Job and then add the original task as a dependency of the new task.
  • They can create a new job from scratch and add both tasks to run concurrently.
  • They can clone the existing task to a new Job and then edit it to run the new notebook.

  Reveal Answer Answer: E Next Question

• Question 3

  

  A data engineer is designing a data pipeline. The source system generates files in a shared directory that is also used by other processes. As a result, the files should be kept as is and will accumulate in the directory. The data engineer needs to identify which files are new since the previous run in the pipeline, and set up the pipeline to only ingest those new files with each run.Which of the following tools can the data engineer use to solve this problem?

  • Unity Catalog
  • Delta Lake
  • Databricks SQL
  • Data Explorer
  • Auto Loader

  Reveal Answer Answer: E Next Question

• Question 4

  

  Which of the following tools is used by Auto Loader process data incrementally?

  • Checkpointing
  • Spark Structured Streaming
  • Data Explorer
  • Unity Catalog
  • Databricks SQL

  Reveal Answer Answer: B Next Question

• Question 5

  

  A data analyst has a series of queries in a SQL program. The data analyst wants this program to run every day. They only want the final query in the program to run on Sundays. They ask for help from the data engineering team to complete this task.Which of the following approaches could be used by the data engineering team to complete this task?

  • They could submit a feature request with Databricks to add this functionality.
  • They could wrap the queries using PySpark and use Python’s control flow system to determine when to run the final query.
  • They could only run the entire program on Sundays.
  • They could automatically restrict access to the source table in the final query so that it is only accessible on Sundays.
  • They could redesign the data model to separate the data used in the final query into a new table.

  Reveal Answer Answer: B Next Question

• Question 6

  

  Which of the following code blocks will remove the rows where the value in column age is greater than 25 from the existing Delta table my_table and save the updated table?

  • SELECT * FROM my_table WHERE age > 25;
  • UPDATE my_table WHERE age > 25;
  • DELETE FROM my_table WHERE age > 25;
  • UPDATE my_table WHERE age <= 25;
  • DELETE FROM my_table WHERE age <= 25;

  Reveal Answer Answer: C Next Question

• Question 7

  

  In order for Structured Streaming to reliably track the exact progress of the processing so that it can handle any kind of failure by restarting and/or reprocessing, which of the following two approaches is used by Spark to record the offset range of the data being processed in each trigger?

  • Checkpointing and Write-ahead Logs
  • Structured Streaming cannot record the offset range of the data being processed in each trigger.
  • Replayable Sources and Idempotent Sinks
  • Write-ahead Logs and Idempotent Sinks
  • Checkpointing and Idempotent Sinks

  Reveal Answer Answer: E Next Question

• Question 8

  

  A data organization leader is upset about the data analysis team’s reports being different from the data engineering team’s reports. The leader believes the siloed nature of their organization’s data engineering and data analysis architectures is to blame.Which of the following describes how a data lakehouse could alleviate this issue?

  • Both teams would autoscale their work as data size evolves
  • Both teams would use the same source of truth for their work
  • Both teams would reorganize to report to the same department
  • Both teams would be able to collaborate on projects in real-time
  • Both teams would respond more quickly to ad-hoc requests

  Reveal Answer Answer: B Next Question

• Question 9

  

  Which of the following data lakehouse features results in improved data quality over a traditional data lake?

  • A data lakehouse provides storage solutions for structured and unstructured data.
  • A data lakehouse supports ACID-compliant transactions.
  • A data lakehouse allows the use of SQL queries to examine data.
  • A data lakehouse stores data in open formats.
  • A data lakehouse enables machine learning and artificial Intelligence workloads.

  Reveal Answer Answer: C Next Question

• Question 10

  

  An engineering manager wants to monitor the performance of a recent project using a Databricks SQL query. For the first week following the project’s release, the manager wants the query results to be updated every minute. However, the manager is concerned that the compute resources used for the query will be left running and cost the organization a lot of money beyond the first week of the project’s release.Which of the following approaches can the engineering team use to ensure the query does not cost the organization any money beyond the first week of the project’s release?

  • They can set a limit to the number of DBUs that are consumed by the SQL Endpoint.
  • They can set the query’s refresh schedule to end after a certain number of refreshes.
  • They cannot ensure the query does not cost the organization money beyond the first week of the project’s release.
  • They can set a limit to the number of individuals that are able to manage the query’s refresh schedule.
  • They can set the query’s refresh schedule to end on a certain date in the query scheduler.

  Reveal Answer Answer: E Next Question

Page: 1 / 9
Total Questions: 45

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