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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. Hotspot Question
You have an Azure Databricks workspace that contains an all-purpose cluster named Cluster1.
You discover that out-of-memory (OOM) errors intermittently cause jobs running on Cluster1 to fail.
You need to identify the root cause of the failures by analyzing the runtime execution behavior.
What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

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

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

4. Which feature provides end-to-end tracking of data movement in Databricks?

A) Query history only
B) Spark logs
C) Unity Catalog lineage
D) Cluster metrics

5. Drag and Drop Question
You have an Azure Databricks workspace that contains an all-purpose compute cluster named Cluster1. Cluser1 is used for interactive development.
You need to configure Cluster1 to meet the following requirements:
- Automatically add and remove worker nodes based on workload demand.
- Automatically shut down when the cluster has been idle for a specific period.
What should you configure for each requirement? To answer, drag the appropriate options to the correct requirements. Each option may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Solutions: