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Microsoft DP-750 Exam Syllabus Topics:

Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:

1. You have an Azure Databricks workspace that contains a Git folder and uses Azure Repos as the Git provider.
From the main branch, you create a branch named Branch1. You commit changes to Branch1.
You need to incorporate the changes from Branch1 into main The solution must preserve the commit history in the repository. Which command should you run?

A) Push
B) rebase
C) merge
D) pull

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

3. You have an Azure Databricks workspace that contains a Delta table named Customer.
A job named Job1 performs frequent upserts into Customer.
You discover that Job1 has created many small Parquet files in Customer, and the small files are degrading query performance.
You need to improve query performance for the current data already stored in Customer. The solution must not affect the travel for the Customer table.
What should you do?

A) Set the delta.deletedFileRetentionDuration table property to 1 day.
B) Set the delta.autoOptimize.optimizeWrite Apache Spark configuration to true.
C) Run the VACUUM command on the Customer table.
D) Run the OPTIMIZE command on the Customer table.

4. You have an Azure Databricks workspace that is enabled for Unity Catalog.
You need to share curated data with an external organization. The solution must meet the following requirements:
* The organization will use its own compute platform to query the data.
* Access to the data must be centrally governed by using Unity Catalog.
* Administrative effort must be minimized.
What should you do?

A) Create a pipeline to move the data to an SFTP server.
B) Create a Lakeflow Connect pipeline.
C) Create a SQL warehouse for external users.
D) Grant workspace access to external users.
E) Use Delta Sharing.

5. 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 != None)
Does this meet the goal?

A) No
B) Yes

Solutions: