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Microsoft DP-750 dumps

Microsoft DP-750 Exam Dumps

Implementing Data Engineering Solutions Using Azure Databricks
664 Reviews

Exam Code DP-750
Exam Name Implementing Data Engineering Solutions Using Azure Databricks
Questions 58 Questions Answers With Explanation
Update Date 06, 30, 2026
Price Was : $448.2 Today : $249 Was : $628.2 Today : $349 Was : $898.2 Today : $499

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Microsoft DP-750 Sample Question Answers

Question # 1

You have an Azure Databricks workspace that is enabled for Unity Catalog and contains aDelta 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.dropna(subset=["order_amount"])Does this meet the goal?

A. Yes
B. No



Question # 2

You have an Azure Databricks workspace that is enabled for Unity Catalog.You have a Lakeflow Spark Declarative Pipelines (SDP) pipeline that writes numerical datato a table named Table1 by using a data quality validation rule named rule1.You need to modify rule1 to meet the following requirements:Ensure that amount is always greater than 0.Prevent an update to Table1 from being committed when data that violates rule1 isdetected.Which statement should you execute?

A. @dlt.expect_all_or_drop({"rule1": "amount > 0"})
B. @dlt.expect_or_drop("rule1", "amount > 0")
C. @dlt.expect_or_fail("rule1", "amount > 0")
D. @dlt.expect("rule1", "amount > 0")



Question # 3

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. Yes
B. No



Question # 4

You have an Azure Databricks workspace that contains a job in Lakeflow Jobs namedJob1. Job1 contains multiple tasks.Failures of non-critical tasks must be logged but must NOT trigger notifications.Notifications must be triggered only when critical tasks have failed, and Job1 hascompletedYou need to configure the job alerting behavior.What should trigger a notification?

A. a task failure
B. a job failure
C. job success
D. task success



Question # 5

You have an Azure Databricks workspace that is enabled for Unity Catalog and containstwo Delta tables named Table1 and Table2 of the same data type.Table1 contains a column named Columnl. Table2 contains a column named Column2.You run the following query.SELECT Column1FROM Table1GROUP BY Column1HAVING COUNT(") > 1INTERSECTSELECT C0lumn2FROM Table2GROUP BY Column2HAVING COUNT(') > 1;What occurs when you run the query?

A. Values appear in either table more than once. 
B. Values appear in both tables more than once.
C. Values appear in Table more than once.
C. Values appear in Table more than once.
D. Values appear in Table2 but NOT Table1.



Question # 6

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

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



Question # 7

You need to develop the task logic for a new job in Lakeflow Jobs that processes telemetrydata.Each task must contain only the appropriate logic for its step in the pipeline. The solutionmust support the planned changes and meet the data ingestion and processingrequirements.What should you do?

A. Use a single Databricks notebook task that performs ingestion, cleansing, and curationin one script.
B. Create three tasks that each contains the identical logic and use task retries.
C. Use a single SQL task that performs ingestion, cleansing, and curation by runningmerge commands.
D. Create separate tasks for ingestion, cleansing, and curation.



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