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

Databricks Certified Data Engineer Professional Sample Questions:

1. The data science team has requested assistance in accelerating queries on free form text from user reviews. The data is currently stored in Parquet with the below schema:
item_id INT, user_id INT, review_id INT, rating FLOAT, review STRING
The review column contains the full text of the review left by the user. Specifically, the data science team is looking to identify if any of 30 key words exist in this field.
A junior data engineer suggests converting this data to Delta Lake will improve query performance.
Which response to the junior data engineer's suggestion is correct?

A) ZORDER ON review will need to be run to see performance gains.
B) The Delta log creates a term matrix for free text fields to support selective filtering.
C) Delta Lake statistics are only collected on the first 4 columns in a table.
D) Text data cannot be stored with Delta Lake.
E) Delta Lake statistics are not optimized for free text fields with high cardinality.

2. The Databricks CLI is use to trigger a run of an existing job by passing the job_id parameter. The response that the job run request has been submitted successfully includes a filed run_id.
Which statement describes what the number alongside this field represents?

A) The globally unique ID of the newly triggered run.
B) The number of times the job definition has been run in the workspace.
C) The total number of jobs that have been run in the workspace.
D) The job_id is returned in this field.
E) The job_id and number of times the job has been are concatenated and returned.

3. A platform team lead is responsible for automating the individual teams attribution towards SQL Warehouse usage. The requirement is to identify the SQL warehouse usage at the individual user's level and generate a daily report to be shared with an executive team that includes leaders from all business units. How should the platform lead generate an automated report that can be shared daily?

A) Restrict users from running any SQL query unless they provide all the query details so that the attribution can be calculated and shared with the executive team.
B) Use the system tables to capture the audit and billing usage data and create a dashboard with daily refresh schedules and shared with the executive team.
C) Let the users run the SQL query and then directly report the usage to the executives. The ownership of the SQL warehouse usage will be with the individual teams.
D) Use the system tables to capture the audit and billing usage data and share the queries with the executive team. This enables the executives to execute the query and see the latest results any time.

4. A data engineer has configured their Databricks Asset Bundle with multiple targets in databricks.yml and deployed it to the production workspace. Now, to validate the deployment, they need to invoke a job named my_project_job specifically within the prod target context.
Assuming the job is already deployed, they need to trigger its execution while ensuring the target- specific configuration is respected. Which command will trigger the job execution?

A) databricks run my_project_job -t prod
B) databricks job run my_project_job --env prod
C) databricks bundle run my_project_job -t prod
D) databricks execute my_project_job -e prod

5. A data engineer is working in an interactive notebook with many transformations before outputting the result from display(df.collect() ). The notebook includes wide transformations and a cross join.
The data engineer is getting the following error: "The spark driver has stopped unexpectedly and is restarting. Your notebook will be automatically reattached." Which action should the data engineer take?

A) Look at the compute metrics UI to see if the executors have higher than 90% memory utilization.
B) Check into the Spark UI to see how many jobs are assigned to each stage as they are employing fewer executors.
C) Run the notebook on a single node cluster to keep driver from falling.
D) Rewrite their code to avoid putting memory pressure on the driver node.

Solutions: