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Last Updated: Sep 07, 2026
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| Section | Objectives |
|---|---|
| Topic 1: Debugging and Deploying | - Debugging and Troubleshooting
|
| Topic 2: Cost & Performance Optimisation | - Delta Optimization
|
| Topic 3: Data Transformation, Cleansing, and Quality | - Advanced Data Transformation
|
| Topic 4: Data Ingestion & Acquisition | - Design and implement data ingestion pipelines
|
| Topic 5: Developing Code for Data Processing using Python and SQL | - Using Python and Tools for Development
|
| Topic 6: Data Governance | - Unity Catalog Permissions
|
| Topic 7: Data Modelling | - Dimensional Modelling
|
| Topic 8: Monitoring and Alerting | - Monitoring
|
| Topic 9: Ensuring Data Security and Compliance | - Data Security
|
| Topic 10: Data Sharing and Federation | - Lakehouse Federation
|
Question 1
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. Convert the sort operation to a filter operation.
B. Repartition the DataFrame to a single partition before sorting.
C. Increase the number of shuffle partitions to better distribute data.
D. Switch to a broadcast join to reduce memory usage.
Question 2
A junior data engineer seeks to leverage Delta Lake's Change Data Feed functionality to create a Type 1 table representing all of the values that have ever been valid for all rows in a bronze table created with the property delta.enableChangeDataFeed = true. They plan to execute the following code as a daily job:
Which statement describes the execution and results of running the above query multiple times?
A. Each time the job is executed, the target table will be overwritten using the entire history of inserted or updated records, giving the desired result.
B. Each time the job is executed, only those records that have been inserted or updated since the last execution will be appended to the target table giving the desired result.
C. Each time the job is executed, the entire available history of inserted or updated records will be appended to the target table, resulting in many duplicate entries.
D. Each time the job is executed, newly updated records will be merged into the target table, overwriting previous values with the same primary keys.
E. Each time the job is executed, the differences between the original and current versions are calculated; this may result in duplicate entries for some records.
Question 3
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 -- completed-only
B. databricks jobs list-runs --job-id JOB_ID --start-time-from TODAY_MIDNIGHT_EPOCH_MS -- active-only
C. databricks jobs list-runs --job-id JOB_ID --start-time-from TODAY_MIDNIGHT_EPOCH_MS -- completed-only
D. databricks jobs list-runs --job-id JOB_ID --start-time-to TODAY_MIDNIGHT_EPOCH_MS --active- only
Question 4
A platform engineer needs to report the resource consumption, categorized by SKU tier, across all workspaces. The engineer decides to use the system.billing.usage system table to create a query. Which SQL query will accurately return the daily usage by product?
A.
B.
C.
D. 
Question 5
A data engineer is implementing Unity Catalog governance for a multi-team environment. Data scientists need interactive clusters for basic data exploration tasks, while automated ETL jobs require dedicated processing. How should the data engineer configure cluster isolation policies to enforce least privilege and ensure Unity Catalog compliance?
A. Configure all clusters with NO ISOLATION_SHARED access mode since Unity Catalog works with any cluster configuration.
B. Use only DEDICATED access mode for both interactive workloads and automated jobs to maximize security isolation.
C. Allow all users to create any cluster type and rely on manual configuration to enable Unity Catalog access modes.
D. Create compute policies with STANDARD access mode for interactive workloads and DEDICATED access mode for automated jobs.
Solutions:
| Question 1 Answer: C | Question 2 Answer: C | Question 3 Answer: C | Question 4 Answer: A | Question 5 Answer: D |
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