Databricks Certified Data Engineer Professional : Databricks-Certified-Data-Engineer-Professional

  • Exam Code: Databricks-Certified-Data-Engineer-Professional
  • Exam Name: Databricks Certified Data Engineer Professional Exam
  • Updated: Jul 09, 2026     Q & A: 250 Questions and Answers

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Databricks Certified Data Engineer Professional Sample Questions:

1. A Delta table of weather records is partitioned by date and has the below schema:
date DATE, device_id INT, temp FLOAT, latitude FLOAT, longitude FLOAT
To find all the records from within the Arctic Circle, you execute a query with the below filter:
latitude > 66.3
Which statement describes how the Delta engine identifies which files to load?

A) All records are cached to attached storage and then the filter is applied
B) The Hive metastore is scanned for min and max statistics for the latitude column
C) The Delta log is scanned for min and max statistics for the latitude column
D) All records are cached to an operational database and then the filter is applied
E) The Parquet file footers are scanned for min and max statistics for the latitude column


2. A user new to Databricks is trying to troubleshoot long execution times for some pipeline logic they are working on. Presently, the user is executing code cell-by-cell, using display() calls to confirm code is producing the logically correct results as new transformations are added to an operation. To get a measure of average time to execute, the user is running each cell multiple times interactively.
Which of the following adjustments will get a more accurate measure of how code is likely to perform in production?

A) Calling display () forces a job to trigger, while many transformations will only add to the logical query plan; because of caching, repeated execution of the same logic does not provide meaningful results.
B) Production code development should only be done using an IDE; executing code against a local build of open source Spark and Delta Lake will provide the most accurate benchmarks for how code will perform in production.
C) Scala is the only language that can be accurately tested using interactive notebooks; because the best performance is achieved by using Scala code compiled to JARs. all PySpark and Spark SQL logic should be refactored.
D) The Jobs Ul should be leveraged to occasionally run the notebook as a job and track execution time during incremental code development because Photon can only be enabled on clusters launched for scheduled jobs.
E) The only way to meaningfully troubleshoot code execution times in development notebooks Is to use production-sized data and production-sized clusters with Run All execution.


3. A Delta Lake table representing metadata about content from user has the following schema:
user_id LONG, post_text STRING, post_id STRING, longitude FLOAT, latitude FLOAT, post_time TIMESTAMP, date DATE Based on the above schema, which column is a good candidate for partitioning the Delta Table?

A) User_id
B) Post_id
C) Date
D) latitude
E) Post_time


4. When scheduling Structured Streaming jobs for production, which configuration automatically recovers from query failures and keeps costs low?

A) Cluster: Existing All-Purpose Cluster;
Retries: Unlimited;
Maximum Concurrent Runs: 1
B) Cluster: New Job Cluster;
Retries: Unlimited;
Maximum Concurrent Runs: Unlimited
C) Cluster: Existing All-Purpose Cluster;
Retries: None;
Maximum Concurrent Runs: 1
D) Cluster: New Job Cluster;
Retries: None;
Maximum Concurrent Runs: 1
E) Cluster: Existing All-Purpose Cluster;
Retries: Unlimited;
Maximum Concurrent Runs: 1


5. A table named user_ltv is being used to create a view that will be used by data analysts on various teams. Users in the workspace are configured into groups, which are used for setting up data access using ACLs.
The user_ltv table has the following schema:
email STRING, age INT, ltv INT
The following view definition is executed:

An analyst who is not a member of the marketing group executes the following query:
SELECT * FROM email_ltv
Which statement describes the results returned by this query?

A) The email and ltv columns will be returned with the values in user itv.
B) Three columns will be returned, but one column will be named "redacted" and contain only null values.
C) Only the email and itv columns will be returned; the email column will contain all null values.
D) Only the email and ltv columns will be returned; the email column will contain the string
"REDACTED" in each row.
E) The email, age. and ltv columns will be returned with the values in user ltv.


Solutions:

Question # 1
Answer: C
Question # 2
Answer: E
Question # 3
Answer: C
Question # 4
Answer: E
Question # 5
Answer: D

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