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Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:

1. You have an Azure Databricks workspace that uses serverless compute.
You need to ingest data by using Lakeflow Jobs. New records must be processed as soon as they become available.
Which type of job trigger should you use for the ingestion?

A) manual
B) file arrival
C) continuous
D) scheduled

2. 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) UPDATE
B) INSERT INTO
C) INSERT OVERWRITE

3. What improves join performance for small lookup tables?

A) Broadcast join
B) Sort merge join
C) Shuffle join
D) Cartesian join

4. What happens if incoming data violates Delta table schema?

A) Data is automatically cast
B) Data is rejected
C) Table is overwritten
D) Data is appended with nulls

5. Hotspot Question
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.

Solutions: