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Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:

1. 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 that is enabled for Unity Catalog and contains a Delta table named Orders.
You load the Orders table into an Apache Spark DataFrame named df.
You need to create a DataFrame that excludes rows where the order amount is null.
Solution: You run the following expression.
df.fillna(0, subset=['order_amount'])
Does this meet the goal?

A) Yes
B) No

2. You have an Azure Databricks workspace that is enabled for Unity Catalog and contains a managed Delta table named Table1. Table1 stores customer data.
You need to implement a data retention solution that meets the following requirements:
- Deleted data must be retained for 30 days to support audits.
- Deleted data that is older than 30 days must be removed permanently.
- The solution must minimize administrative effort
Which two properties should you configure? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A) delta.autoOptimize.autoCompact
B) delta.enableDeletionVectors
C) delta.timeUntilArchived
D) delta.logRetentionDuration
E) delta.deletedFileRetentionDuration

3. You have an Azure Databricks workspace.
You are creating a Lakeflow Spark Declarative Pipelines (SDP) pipeline that scales automatically.
You need to configure compute for the pipeline. The solution must minimize operational costs and effort.
What should you use?

A) a single-node, all-purpose cluster
B) a job cluster that uses autoscaling
C) an all-purpose cluster that uses autoscaling
D) the existing SQL warehouse

4. Which Azure service is best integrated with Databricks Unity Catalog for centralized data governance?

A) Azure DevTest Labs
B) Azure Automation
C) Azure Key Vault
D) Microsoft Purview

5. 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

Solutions: