Databricks Databricks Certified Data Engineer Associate Practice Exams
Last updated on Oct 22,2026- Exam Code: Databricks Certified Data Engineer Associate
- Exam Name: Databricks Certified Data Engineer Associate Exam
- Certification Provider: Databricks
- Latest update: Oct 22,2026
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 Permissions tab in the table’s page in Data Explorer
- B . All of these options can be used to identify the owner of the table
- C . Review the Owner field in the table’s page in Data Explorer
- D . Review the Owner field in the table’s page in the cloud storage solution
- E . There is no way to identify the owner of the table
A data engineer has been using a Databricks SQL dashboard to monitor the cleanliness of the input data to a data analytics dashboard for a retail use case. The job has a Databricks SQL query that returns the number of store-level records where sales is equal to zero. The data engineer wants their entire team to be notified via a messaging webhook whenever this value is greater than 0.
Which of the following approaches can the data engineer use to notify their entire team via a messaging webhook whenever the number of stores with $0 in sales is greater than zero?
- A . They can set up an Alert with a custom template.
- B . They can set up an Alert with a new email alert destination.
- C . They can set up an Alert with one-time notifications.
- D . They can set up an Alert with a new webhook alert destination.
- E . They can set up an Alert without notifications.
Which of the following describes a benefit of creating an external table from Parquet rather than CSV when using a CREATE TABLE AS SELECT statement?
- A . Parquet files can be partitioned
- B . CREATE TABLE AS SELECT statements cannot be used on files
- C . Parquet files have a well-defined schema
- D . Parquet files have the ability to be optimized
- E . Parquet files will become Delta tables
Which of the following tools is used by Auto Loader process data incrementally?
- A . Checkpointing
- B . Spark Structured Streaming
- C . Data Explorer
- D . Unity Catalog
- E . Databricks SQL
A data engineer has a Python variable table_name that they would like to use in a SQL query. They want to construct a Python code block that will run the query using table_name.
They have the following incomplete code block:
____(f"SELECT customer_id, spend FROM {table_name}")
Which of the following can be used to fill in the blank to successfully complete the task?
- A . spark.delta.sql
- B . spark.delta.table
- C . spark.table
- D . dbutils.sql
- E . spark.sql
What feature enables Databricks to manage large datasets across multiple nodes efficiently?
- A . Delta Lake
- B . MLflow
- C . Apache Spark
- D . GraphFrames
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?
- A . They can set a limit to the number of DBUs that are consumed by the SQL Endpoint.
- B . They can set the query’s refresh schedule to end after a certain number of refreshes.
- C . They cannot ensure the query does not cost the organization money beyond the first week of the project’s release.
- D . They can set a limit to the number of individuals that are able to manage the query’s refresh schedule.
- E . They can set the query’s refresh schedule to end on a certain date in the query scheduler.
Which of the following can be used to simplify and unify siloed data architectures that are specialized for specific use cases?
- A . None of these
- B . Data lake
- C . Data warehouse
- D . All of these
- E . Data lakehouse
A data engineer wants to schedule their Databricks SQL dashboard to refresh once per day, but they only want the associated SQL endpoint to be running when it is necessary.
Which of the following approaches can the data engineer use to minimize the total running time of the SQL endpoint used in the refresh schedule of their dashboard?
- A . They can ensure the dashboard’s SQL endpoint matches each of the queries’ SQL endpoints.
- B . They can set up the dashboard’s SQL endpoint to be serverless.
- C . They can turn on the Auto Stop feature for the SQL endpoint.
- D . They can reduce the cluster size of the SQL endpoint.
- E . They can ensure the dashboard’s SQL endpoint is not one of the included query’s SQL endpoint.
A data engineer has developed a data pipeline to ingest data from a JSON source using Auto Loader, but the engineer has not provided any type inference or schema hints in their pipeline. Upon reviewing the data, the data engineer has noticed that all of the columns in the target table are of the string type despite some of the fields only including float or boolean values.
Which of the following describes why Auto Loader inferred all of the columns to be of the string type?
- A . There was a type mismatch between the specific schema and the inferred schema
- B . JSON data is a text-based format
- C . Auto Loader only works with string data
- D . All of the fields had at least one null value
- E . Auto Loader cannot infer the schema of ingested data