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Last Updated: Jul 22, 2026
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| Section | Weight | Objectives |
|---|---|---|
| Deploy and manage data pipelines and workloads | 30-35% | - Operational reliability
|
| Secure and govern data using Unity Catalog | 15-20% | - Data governance fundamentals
|
| Prepare and process data | 30-35% | - Data ingestion
|
| Configure and manage Azure Databricks environments | 15-20% | - Workspace and compute configuration
|
1. You have an Azure Databricks workspace that is enabled for Unity Catalog and contains a managed Delta table named Sales. Sales stores transaction data and contains the following columns:
* transactionjd (string)
* transaction date (date)
* amount (decimal)
You need to implement the following data quality requirements by using table-level data quality enforcement:
* amount must be greater than 0.
* transaction id must never be null.
* Invalid records must be rejected when data is written to the Sales table.
What should you do?
A) Configure row-level security (RLS) where transactionjd is null or amount is less than or equal to 0.
B) Add a not null constraint to transactionjd and a check constraint to amount.
C) Create a view that filters out rows where transactionjd is null or amount is less than or equal to 0.
D) Use a select statement with where conditions to validate the data before querying.
2. You have an Azure Databricks workspace.
You need to ingest streaming data from Azure Event Hubs by using Apache Spark Structured Streaming The solution must authenticate to Event Hubs and read the event payload.
How should you complete the PySpark code segment? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
3. You have an Azure Databricks workspace that contains a Delta table named Table 1. Table 1 has accumulated obsolete files.
You need to reduce storage costs. The solution must preserve 30 days of time travel history. Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A) Run the vacuum command on Table1.
B) Set the delta.deletedFileRetentionDuration table property to 10 days
C) Reduce the deleted file retention period to one day.
D) Run the OPTIMIZE command on Table1
E) Set the delta. logRetentionDuration table property to 30 days.
4. You have an Azure Databricks workspace that is enabled for Unity Catalog and contains a managed Delta table named Table1.
Table1 stores customer profile data.
Business users must analyze how customer profile records change over time. They must also be able to query earlier versions of the table.
You need to implement a solution that:
* Maintains persistent historical versions of customer profile records for long-term analysis.
* Allows users to query earlier versions of the Delta table.
* Minimizes maintenance effort.
What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
5. You have an Azure Databricks workspace that is enabled for Unity Catalog.
You plan to create a job in Lakeflow Jobs named Job1 that:
* Ingests data from cloud storage
* Runs two independent transformation tasks
The transformation tasks must run only after the ingestion completes and must run in parallel.
You need to design the task logic for Job1.
What should you configure?
A) independent tasks with no defined dependencies
B) two ingestion tasks, each followed by a transformation task
C) One ingestion task with two parallel downstream transformation tasks
D) a single task that performs ingestion and transformations sequentially
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: Only visible for members | Question # 3 Answer: A,B | Question # 4 Answer: Only visible for members | Question # 5 Answer: C |
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