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

Databricks Certified Data Engineer Professional Sample Questions:

1. A member of the data engineering team has submitted a short notebook that they wish to schedule as part of a larger data pipeline. Assume that the commands provided below produce the logically correct results when run as presented.

Which command should be removed from the notebook before scheduling it as a job?

A) Cmd 5
B) Cmd 3
C) Cmd 2
D) Cmd 4
E) Cmd 6

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

3. A data company uses Databricks Unity Catalog and has multiple enterprise data sources, including PostgreSQL, Snowflake, and SQL Server. The central data platform team wants to configure Lakehouse Federation so analysts can query external tables directly in Databricks using Databricks SQL, without duplicating data. Which steps are necessary to configure Lakehouse Federation in a secure and governed manner?

A) Configure connections and foreign catalog in Unity Catalog, then grant access to foreign catalogs, schemas, and tables using Unity Catalog permissions.
B) Use Partner Connect to create linked datasets, and apply table ACLs at the source system to govern access through Databricks.
C) Create external locations and storage credentials to connect to each database, then register foreign tables in Unity Catalog.
D) Mirror the external datasets into Delta Lake using Auto Loader, and govern them using Data Lineage and System Tables.

4. The following table consists of items found in user carts within an e-commerce website.

The following MERGE statement is used to update this table using an updates view, with schema evolution enabled on this table.

How would the following update be handled?

A) The new nested field is added to the target schema, and files underlying existing records are updated to include NULL values for the new field.
B) The update is moved to separate ''restored'' column because it is missing a column expected in the target schema.
C) The new restored field is added to the target schema, and dynamically read as NULL for existing unmatched records.
D) The update throws an error because changes to existing columns in the target schema are not supported.

5. A Databricks SQL dashboard has been configured to monitor the total number of records present in a collection of Delta Lake tables using the following query pattern:
SELECT COUNT (*) FROM table
Which of the following describes how results are generated each time the dashboard is updated?

A) The total count of rows is calculated by scanning all data files
B) The total count of records is calculated from the Hive metastore
C) The total count of records is calculated from the Delta transaction logs
D) The total count of rows will be returned from cached results unless REFRESH is run
E) The total count of records is calculated from the parquet file metadata

Solutions: