Microsoft DP-750 : Implementing Data Engineering Solutions Using Azure Databricks

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Microsoft DP-750 Exam Syllabus Topics:

Microsoft Implementing Data Engineering Solutions Using Azure Databricks Sample Questions:

Question #1
You have an Azure Databricks workspace that is enabled for Unity Catalog.
You need to implement a daily batch data process that requires complex and highly customized Python transformations. The solution must minimize additional complexity.
What should you include in the solution?

A. a continuous job in Lakeflow Jobs
B. a Lakeflow Spark Declarative Pipelines (SDP) pipeline
C. an Azure Data Factory pipeline that has data flows
D. a Databricks notebook triggered by a job

Question #2
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

Question #3
You have an Azure Databricks workspace that contains an all-purpose cluster named Cluster! 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. Apply a compute policy that enables users to manage the cluster settings.
B. Enable autoscaling for Cluster1.
C. Configure Cluster1 to terminate after 30 minutes of inactivity.
D. Disable Photon acceleration.
E. Specify a fixed number of workers.

Question #4
You have an Azure Databricks account that contains workspaces enabled for Unity Catalog.
You need to implement audit logging to meet the following requirements:
* Capture audit logs for all the workspaces in the account.
* Retain the audit logs for 90 days.
* Minimize storage and ingestion costs.
The logs will be reviewed only during security investigations and will NOT be queried regularly.
To where should you send the audit logs?

A. an Azure Storage account
B. Azure Event Hubs
C. Log Analytics
D. Azure Monitor metrics

Question #5
You need to configure the telemetry pipeline to support the planned changes for pipeline orchestration and address the resiliency issues.
What should you do?

A. Use Lakeflow Jobs and define task dependencies between the ingestion, cleansing, and curation tasks.
B. Create three separate jobs and schedule them to run at staggered times.
C. Create a single Databricks notebook that contains all the ingestion, cleansing, and curation logic in sequential cells.
D. Use Azure Data Factory to orchestrate three separate Databricks notebook activities and define the task dependencies between each notebook activity.

Solutions: