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Microsoft DP-750 Exam Overview:

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Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:

1. 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) No
B) Yes

2. You have an Azure Databricks workspace that is enabled for Unity Catalog.
You plan to create a job in Lakeflow Jobs named Job1 that:
* Ingests data from cloud storage
* Runs two independent transformation tasks
The transformation tasks must run only after the ingestion completes and must run in parallel.
You need to design the task logic for Job1.
What should you configure?

A) two ingestion tasks, each followed by a transformation task
B) independent tasks with no defined dependencies
C) One ingestion task with two parallel downstream transformation tasks
D) a single task that performs ingestion and transformations sequentially

3. You have an Azure Databricks workspace named Workspace1.
You create a compute cluster named Cluser1 that will be used to ingest data.
You need to install the required libraries on Cluster1. The solution must use Unity Catalog for access control.
What should you do?

A) Upload the libraries to a Unity Catalog schema and install the libraries on Cluster1.
B) Install the libraries on Cluster1 and manually restart the cluster.
C) Install the libraries by using pip from a notebook attached to Cluster1.
D) Upload the libraries to a Unity Catalog volume and install the libraries on Cluster1.

4. You have an Azure Databricks workspace that contains a job in Lakeflow Jobs named Job1.
Job! processes raw data files stored in Azure Storage.
New files arrive at unpredictable intervals.
You need to ensure that Job1 starts automatically when new files arrive and does NOT consume compute resources when no data is available.
Which type of job trigger should you use?

A) scheduled
B) file arrival
C) continuous
D) manual

5. You have an Azure Databricks workspace that is enabled for Unity Catalog.
You have a Lakeflow Spark Declarative Pipelines (SDP) pipeline that writes records to a Delta table named Table1 by using a data quality rule named rule1 You need to meet the following requirements:
* Records that violate rule! must NOT be written to Table1. but the pipeline must continue processing valid records.
* Data engineers must be able to review expectation metrics by using minimal development effort.
What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Solutions: