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Following are some reference material for actual Databricks Certified-Data-Engineer-Professional exam test

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

Databricks Certified Data Engineer Professional Sample Questions:

1. A junior developer complains that the code in their notebook isn't producing the correct results in the development environment. A shared screenshot reveals that while they're using a notebook versioned with Databricks Repos, they're using a personal branch that contains old logic. The desired branch named dev-2.3.9 is not available from the branch selection dropdown.
Which approach will allow this developer to review the current logic for this notebook?

A) Use Repos to checkout the dev-2.3.9 branch and auto-resolve conflicts with the current branch
B) Merge all changes back to the main branch in the remote Git repository and clone the repo again
C) Use Repos to merge the current branch and the dev-2.3.9 branch, then make a pull request to sync with the remote repository
D) Use Repos to make a pull request use the Databricks REST API to update the current branch to dev-2.3.9
E) Use Repos to pull changes from the remote Git repository and select the dev-2.3.9 branch.

2. A data engineer wants to automate job monitoring and recovery in Databricks using the Jobs API.
They need to list all jobs, identify a failed job, and rerun it. Which sequence of API actions should the data engineer perform?

A) Use the jobs/get endpoint to retrieve job details, then use jobs/update to rerun failed jobs.
B) Use the jobs/list endpoint to list jobs, then use the jobs/create endpoint to create a new job, and run the new job using jobs/run-now.
C) Use the jobs/list endpoint to list jobs, check job run statuses with jobs/runs/list, and rerun a failed job using jobs/run-now.
D) Use the jobs/cancel endpoint to remove failed jobs, then recreate them with jobs/create and run the new ones.

3. A data engineer has created a transactions Delta table on Databricks that should be used by the analytics team. The analytics team wants to use the table with another tool that requires Apache Iceberg format. What should the data engineer do?

A) Enable uniform on the transactions table to 'iceberg' so that the table can be read as an Iceberg table.
B) Create an Iceberg copy of the transactions Delta table which can be used by the analytics team.
C) Convert the transactions Delta table to Iceberg and enable uniform so that the table can be read as a Delta table.
D) Require the analytics team to use a tool that supports Delta table.

4. A query is taking too long to run. After investigating the Spark UI, the data engineer discovered a significant amount of disk spill. The compute instance being used has a core-to-memory ratio of
1:2. What are the two steps the data engineer should take to minimize spillage? (Choose two.)

A) Choose a compute instance with more disk space.
B) Choose a compute instance with a higher core-to-memory ratio.
C) Increase spark.sql.files.maxPartitionBytes.
D) Reduce spark.sql.files.maxPartitionBytes.
E) Choose a compute instance with more network bandwidth.

5. The data governance team has instituted a requirement that the "user" table containing Personal Identifiable Information (PII) must have the appropriate masking on the SSN column. This means that anyone outside of the HRAdminGroup should see masked social security numbers as ***-**-
****.
The team created a masking function:

What does the data governance team need to do next to achieve this goal?

A) CREATE TABLE users
(name STRING, ssn INT MASKED ssn_mask);
B) CREATE TABLE users
(name STRING, int STRING);
ALTER TABLE users ALTER COLUMN ssn CREATE MASK if is_member('HRAdminGroup');
C) CREATE TABLE users
(name STRING, ssn STRING);
ALTER TABLE users ALTER COLUMN ssn SET MASK ssn_mask;
D) CREATE TABLE users
(name STRING);
ALTER TABLE users CREATE COLUMN ssn CREATE MASK ssn_mask;

Solutions: