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Databricks Certified Data Engineer Professional Sample Questions:

1. A data pipeline uses Structured Streaming to ingest data from kafka to Delta Lake. Data is being stored in a bronze table, and includes the Kafka_generated timesamp, key, and value. Three months after the pipeline is deployed the data engineering team has noticed some latency issued during certain times of the day.
A senior data engineer updates the Delta Table's schema and ingestion logic to include the current timestamp (as recoded by Apache Spark) as well the Kafka topic and partition. The team plans to use the additional metadata fields to diagnose the transient processing delays.
Which limitation will the team face while diagnosing this problem?

A) Updating the table schema requires a default value provided for each file added.
B) Spark cannot capture the topic partition fields from the kafka source.
C) Updating the table schema will invalidate the Delta transaction log metadata.
D) New fields will not be computed for historic records.
E) New fields cannot be added to a production Delta table.

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

3. A data engineering team is collaborating on a Databricks project where each team member needs to develop and test code independently before merging changes into the main branch.
They want to avoid accidental overwrites or branch switching issues while ensuring that all work is version- controlled and can be integrated into their CI/CD pipeline.
How should the data engineer achieve collaboration?

A) All team members work in the same Databricks Git folder and perform Git operations (pull, push, commit, branch switching) directly in that shared folder.
B) Team members edit notebooks directly in the workspace's shared folder and periodically copy changes into a Git folder for version control.
C) Each team member creates their own Databricks Git folder, mapped to the same remote Git repository, and works in their own development branch within their personal folder.
D) Team members use the Databricks CLI to clone the Git repository and perform Git operations from a cluster's web terminal.

4. A data engineer and a platform engineer are working together to automate their system tasks. A script needs to be executed outside of Databricks only if a particular daily Databricks job finishes successfully for the day. Databricks CLI command was used to check the last execution of the job. What are the required command options for that task?

A) databricks jobs list-runs --job-id JOB_ID --start-time-to TODAY_MIDNIGHT_EPOCH_MS --active- only
B) databricks jobs list-runs --job-id JOB_ID --start-time-from TODAY_MIDNIGHT_EPOCH_MS -- completed-only
C) databricks jobs list-runs --job-id JOB_ID --start-time-from TODAY_MIDNIGHT_EPOCH_MS -- active-only
D) databricks jobs list-runs --job-id JOB_ID --start-time-to TODAY_MIDNIGHT_EPOCH_MS -- completed-only

5. While reviewing a query's execution in the Databricks Query Profiler, a data engineer observes that the Top Operators panel shows a Sort operator with high Time Spent and Memory Peak metrics. The Spark UI also reports frequent data spilling. How should the data engineer address this issue?

A) Increase the number of shuffle partitions to better distribute data.
B) Switch to a broadcast join to reduce memory usage.
C) Repartition the DataFrame to a single partition before sorting.
D) Convert the sort operation to a filter operation.

Solutions: