Microsoft DP-750

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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 is enabled for Unity Catalog and contains a managed Delta table named Table1.
Table1 stores customer profile data.
Business users must analyze how customer profile records change over time. They must also be able to query earlier versions of the table.
You need to implement a solution that:
* Maintains persistent historical versions of customer profile records for long-term analysis.
* Allows users to query earlier versions of the Delta table.
* Minimizes maintenance effort.
What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

2. 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 Databricks access connector.
Does this meet the goal?

A) No
B) Yes

3. You need to configure compute for the ingestion of telemetry data. The solution must meet the data ingestion and processing requirements.
What should you do?

A) Disable autoscaling for a job compute cluster.
B) Increase an all-purpose cluster to a larger fixed node type.
C) Move the ingestion pipelines to shared compute.
D) Enable Photon acceleration for a job compute cluster.

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

5. You have an Azure Databricks workspace that is enabled for Unity Catalog You have an Apache Spark Structured Streaming job that writes data to a Delta table.
After the cluster restarts, the streaming job reprocesses previously ingested data You need to prevent the streaming job from reprocessing the data after the cluster restarts.
What should you do?

A) Increase the trigger interval of the streaming query.
B) Configure a checkpoint location for the streaming query.
C) Configure a watermark for the streaming query.
D) Enable change data feed (CDF) for the target table.

Solutions: