Microsoft Microsoft Certified: Fabric Data Engineer Associate DP-750

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Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:

1. Hotspot Question
You have an Azure Databricks workspace.
You have an Azure key vault named kv-secure that stores a secret named storageKey. The value of storageKey is managed and updated by the cloud security team at your company.
You need to enable a Databricks notebook named Notebook1 to retrieve the value of storageKey securely at runtime. The solution must follow the principle of least privilege and always retrieve the latest value.
What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

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

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

3. You have an Azure Databricks workspace that uses Unity Catalog.
You have a Lakeflow Spark Declarative Pipelines (SDP) pipeline that ingests data into a managed Delta table named Table1. Table1 is used for analytics.
New columns are added to the source data, causing pipeline failures during writes to Table1.
You need to prevent the pipeline failures. The solution must ensure that schema changes are detected and handled.
What should you do?

A) Enable schema evolution.
B) Use row filters to exclude records that have new columns.
C) Create a separate table for each schema version.
D) Disable schema enforcement for Table1.

4. What ensures failure recovery in Databricks Structured Streaming?

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

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

Solutions: