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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 attached to a Unity Catalog metastore named metastore1.
Metastore1 contains a catalog named catalog 1.
You need to create a new schema named schema2 that meets the following requirements:
* Is contained in catalog1
* Uses abfss://containergstorageaccount.dfs.core.windows.net/data as the Managed location Which SQL statement should you execute?

A) CREATE CATALOG schema2
MANAGED LOCATION ' abfss://[email protected]/data ' ;
B) CREATE SCHEMA catalog1.schema2
MANAGED LOCATION ' abfss://[email protected]/data ' ;
C) CREATE SCHEMA catalog1.schema2
LOCATION ' abfss://[email protected]/data ' ;
D) CREATE SCHEMA catalog1.schema2
WITH DBPROPERTIES (LOCATION= ' abfss://[email protected]/data
' );

2. You have an Azure Databricks workspace that contains an all-purpose cluster named Cluster1.
You discover that out of- memory (OOM) errors intermittently cause jobs running on Cluster1 to fail.
You need to identify the root cause of the failures by analyzing the runtime execution behavior. What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

3. You need to configure resiliency for a job in Lakeflow Jobs named Job1 to meet the pipeline deployment and operation requirements.
What should you do?

A) Configure Job1 to start always from the first task when any task fails.
B) Enable task-level retries on the ingestion task and leave downstream tasks unchanged.
C) Enable a restart upon a job failure and set the retry count to 0.
D) Disable retries and configure Job1 to run manually only.

4. You have an Azure Databricks workspace that is enabled for Unity Catalog and contains a managed Delta table named Sales. Sales stores transaction data and contains the following columns:
* transactionjd (string)
* transaction date (date)
* amount (decimal)
You need to implement the following data quality requirements by using table-level data quality enforcement:
* amount must be greater than 0.
* transaction id must never be null.
* Invalid records must be rejected when data is written to the Sales table.
What should you do?

A) Use a select statement with where conditions to validate the data before querying.
B) Add a not null constraint to transactionjd and a check constraint to amount.
C) Create a view that filters out rows where transactionjd is null or amount is less than or equal to 0.
D) Configure row-level security (RLS) where transactionjd is null or amount is less than or equal to 0.

5. You have an Azure Databricks workspace named Workspace1 that contains a cluster named Cluster1.
You need to enable a user named User1 to install a Maven package on all the nodes of Cluster1. The solution must follow the principle of least privilege.
What should you do?

A) Assign User1 the Contributor role for the resource group that contains Workspace1.
B) Grant User1 the CAN RESTART permission for Cluster1.
C) Grant User1 the CAN MANAGE permission for Cluster1.
D) Assign User1 the workspace admins role for Workspace1.

Solutions: