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

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Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:

1. Which operation guarantees ACID compliance in Delta Lake?

A) INSERT OVERWRITE
B) Spark RDD transformation
C) Delta transaction log
D) Direct file append

2. Which feature helps reduce data scan during query execution in Delta Lake?

A) Cluster restart
B) Data skipping using statistics
C) VACUUM
D) VACUUM retention override

3. You have an Azure Databricks workspace that contains multiple all-purpose clusters.
You discover that some clusters remain idle for long periods after users finish their work.
You need to reduce compute costs without affecting active workloads.
What should you do?

A) Configure automatic termination.
B) Enable autoscaling.
C) Use spot instances.
D) Convert the clusters into job clusters.

4. What ensures failure recovery in Databricks Structured Streaming?

A) Checkpointing
B) Auto scaling
C) Partition pruning
D) Broadcast joins

5. Hotspot Question
You have an Azure Databricks workspace that contains a job in Lakeflow Jobs named Job1.
Job1 runs every hour.
Occasionally, the job run takes longer than one hour to complete. Overlapping runs must be prevented to avoid data corruption.
You need to configure the job scheduling behavior.
What should you configure? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Solutions: