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

Databricks Certified Data Engineer Professional Sample Questions:

1. A data engineer has created a new cluster using shared access mode with default configurations.
The data engineer needs to allow the development team access to view the driver logs if needed.
What are the minimal cluster permissions that allow the development team to accomplish this?

A) CAN MANAGE
B) CAN VIEW
C) CAN RESTART
D) CAN ATTACH TO

2. A large company seeks to implement a near real-time solution involving hundreds of pipelines with parallel updates of many tables with extremely high volume and high velocity data.
Which of the following solutions would you implement to achieve this requirement?

A) Isolate Delta Lake tables in their own storage containers to avoid API limits imposed by cloud vendors.
B) Configure Databricks to save all data to attached SSD volumes instead of object storage, increasing file I/O significantly.
C) Use Databricks High Concurrency clusters, which leverage optimized cloud storage connections to maximize data throughput.
D) Partition ingestion tables by a small time duration to allow for many data files to be written in parallel.
E) Store all tables in a single database to ensure that the Databricks Catalyst Metastore can load balance overall throughput.

3. A data engineering team has a time-consuming data ingestion job with three data sources. Each notebook takes about one hour to load new data. One day, the job fails because a notebook update introduced a new required configuration parameter. The team must quickly fix the issue and load the latest data from the failing source. Which action should the team take?

A) Share the analysis with the failing notebook owner so that they can fix it quickly.
B) Repair the run with the new parameter.
C) Update the task by adding the missing task parameter, and manually run the job.
D) Repair the run with the new parameter, and update the task by adding the missing task parameter.

4. A data engineer is optimizing a MERGE operation on an 800GB UC-managed table that experiences frequent updates and deletions. Which two actions should the engineer prioritize to improve MERGE performance? (Choose two.)

A) Overwrite the table instead of Merge.
B) Enable deletion vectors on the table if not already enabled.
C) Use ZORDER on high-cardinality columns.
D) Apply liquid clustering using the merge join keys.
E) Partition the table by date.

5. A company wants to implement Lakehouse Federation across multiple data sources but is concerned about data consistency and ensuring that all teams access the same authoritative version of their data. Which statement is applicable for Lakehouse Federations to maintain data consistency?

A) Federation implements change data capture (CDC) from all sources.
B) Federation creates local copies that must be manually refreshed.
C) A separate data synchronization service must be deployed.
D) Federation provides read-only access that reflects the current state of source systems.

Solutions: