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Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:

1. You have an Azure Databricks workspace named Workspace1 that uses a Git repository. The repository contains a Databricks notebook named Notebook1.
From the main branch, you create a feature branch named Branch1 and commit changes to Notebook1. Another user commits changes to Notebook1 in main.
When you attempt to merge Branch1 into main, the merge fails due to conflicts.
You need to merge Branch1 into the main branch. The solution must ensure that Notebook1 includes all the changes from both the branches.
What should you do?

A) From Workspace1, clone the main branch as a new repository.
B) From Workspace1, clone Branch1 as a new repository.
C) Apply the changes directly to the main branch.
D) Apply the main branch changes to Branch1 and resolve the conflicts.

2. 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.filter(df.order_amount.isNotNull())
Does this meet the goal?

A) Yes
B) No

3. Which component enforces table-level permissions in Databricks?

A) Spark configuration
B) Cluster policy
C) Unity Catalog
D) DBFS permissions

4. You have an Azure Databricks workspace that contains an all-purpose cluster named Cluster1.
You need to configure Cluster1 to meet the following requirements:
- The cluster must scale up automatically when workloads increase.
- The cluster must scale down automatically when workloads decrease.
The solution must minimize costs.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A) Enable autoscaling for Cluster1.
B) Apply a compute policy that enables users to manage the cluster settings.
C) Configure Cluster1 to terminate after 30 minutes of inactivity.
D) Specify a fixed number of workers.
E) Disable Photon acceleration.

5. You have an Azure Databricks workspace that is enabled for Unity Catalog.
You plan to ingest data from CSV files stored in Azure Data Lake Storage Gen2. New rows are appended frequently.
You need to implement a data ingestion solution that meets the following requirements:
- New data must be available in near-real-time (NRT).
- The data must be stored in managed Delta tables.
- The solution must minimize custom code and maintenance effort.
What should you include in the solution?

A) an external table that references the CSV files
B) an Azure Data Factory pipeline
C) scheduled Apache Spark batch jobs
D) Auto Loader

Solutions: