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Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:

1. You need to deploy Databricks Asset Bundles to a development environment. The solution must support automated and repeatable deployments across environments. What should you use?

A) Git folders
B) the Databricks SDK for Python
C) the Databricks CLI
D) the Jobs UI

2. Drag and Drop Question
You have an Azure Databricks workspace named Workspace1 that is attached to a Unity Catalog metastore named metastore1.
You need to register an Azure Storage account named account1 that has a hierarchical namespace enabled as an external location. The external location must use a managed identity to authenticate to account1 and the solution must follow the principle of least privilege.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

3. Note: This section contains one or more sets of questions with the same scenario and problem. Each question presents a unique solution to the problem. You must determine whether the solution meets the stated goals. More than one solution in the set might solve the problem. It is also possible that none of the solutions in the set solve the problem.
After you answer a question in this section, you will NOT be able to return. As a result, these questions do not appear on the Review Screen.
You have an Azure Databricks workspace named Workspace1 that contains a lakehouse and is enabled for Unity Catalog.
You have a connection to a Microsoft SQL Server database named DB1.
You need to expose the schemas and tables of DB1 to meet the following requirements:
- The schemas and tables can be queried in Databricks.
- The schemas and tables appear alongside other Unity Catalog objects.
- The data is NOT copied into Databricks-managed storage.
Solution: You create a foreign catalog in Catalog Explorer.
Does this meet the goal?

A) Yes
B) No

4. You have an Azure Databricks workspace that is enabled for Unity Catalog.
You need to recommend a pipeline that ingests files from cloud storage, performs cleansing and enrichment transformations, and writes curated Delta tables for analytics. The solution must minimize development effort and provide built-in monitoring and automatic retries.
What should you include in the recommendation?

A) an Apache Spark Structured Streaming job
B) a Databricks notebook triggered by a scheduled job
C) an Azure Data Factory pipeline that uses data flows
D) a Lakeflow Spark Declarative Pipelines (SDP) pipeline

5. A Delta table receives new fields in incoming JSON data. You want to automatically adapt without breaking pipelines. What should you enable?

A) Manually update schema each time
B) Disable schema enforcement
C) Use overwrite mode
D) Auto Loader with schema inference and evolution

Solutions: