Microsoft Implementing Data Engineering Solutions Using Azure Databricks : DP-750 Exam

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Microsoft DP-750 Exam Syllabus Topics:

Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:

1. Hotspot Question
You have an Azure Databricks workspace that is enabled for Unity Catalog.
You plan to run the following PySpark code.

2. Which layer contains cleaned and conformed data in Databricks Lakehouse architecture?

A) Silver
B) Raw
C) Gold
D) Bronze

3. You have an Azure Databricks workspace that is enabled for Unity Catalog and contains a Delta table named Sales_orders.
Sales_orders stores historical sales data.
You receive a daily CSV file daily that contains new sales records only. The file does NOT contain updates to existing rows.
You need to load the daily data into Sales_orders. The solution must meet the following requirements:
- Preserve the existing data.
- Add only the new records.
- Minimize processing effort.
Which command should include in the loading strategy?

A) INSERT OVERWRITE
B) UPDATE
C) INSERT INTO

4. A data engineer notices slow query performance on a large Delta table in Azure Databricks. The table has frequent updates and deletes. Which action best improves query performance?

A) Run OPTIMIZE and ZORDER BY on frequently filtered columns
B) Increase cluster size
C) Enable Delta caching only
D) Convert table to Parquet format

5. You have an Azure Databricks workspace that contains a job in Lakeflow Jobs named Job1. Job1 contains multiple tasks.
Failures of non-critical tasks must be logged but must NOT trigger notifications. Notifications must be triggered only when critical tasks have failed, and Job1 has completed.
You need to configure the job alerting behavior.
What should trigger a notification?

A) task success
B) job success
C) a task failure
D) a job failure

Solutions: