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Microsoft DP-700 Exam Questions

Microsoft DP-700 Exam Questions Answers

Implementing Data Engineering Solutions Using Microsoft Fabric

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Microsoft DP-700 Practice Test Questions ( Updated) – Real Exam Questions & Dumps PDF

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Microsoft DP-700 Sample Questions – Free Practice Test & Real Exam Prep

Question #1

 You have an Azure key vault named KeyVaultl that contains secrets. You have a Fabric workspace named Workspace!. Workspace! contains a notebook named Notebookl that performs the following tasks: • Loads stage data to the target tables in a lakehouse • Triggers the refresh of a semantic model You plan to add functionality to Notebookl that will use the Fabric API to monitor the semantic model refreshes. You need to retrieve the registered application ID and secret from KeyVaultl to generate the authentication token. Solution: You use the following code segment: Use notebookutils. credentials.getSecret and specify key vault URL and the name of a linked service. Does this meet the goal? 

  • A. Yes 
  • B. No 
Answer: B
Question #2

 You have a Fabric warehouse named DW1 that contains a Type 2 slowly changing dimension (SCD) dimension table named DimCustomer. DimCustomer contains 100 columns and 20 million rows. The columns are of various data types, including int, varchar, date, and varbinary. You need to identify incoming changes to the table and update the records when there is a change. The solution must minimize resource consumption. What should you use to identify changes to attributes?

  • A. a direct attributes comparison for the attributes in the source table. 
  • B. a hash function to compare the attributes in the DimCustomer table. 
  • C. a direct attributes comparison across the attributes in the DimCustomer table. 
  • D. a hash function to compare the attributes in the source table.
Answer: D
Question #3

You have a Fabric workspace that contains a warehouse named DW1. DW1 is loaded by using a notebook named Notebook1. You need to identify which version of Delta was used when Notebook1 was executed. What should you use?

  •  A. Real-Time hub 
  • B. OneLake data hub 
  • C. the Admin monitoring workspace 
  • D. Fabric Monitor 
  • E. the Microsoft Fabric Capacity Metrics app
Answer: C
 Explanation:  
To identify the version of Delta used when Notebook1 was executed, you should use the
 Admin monitoring workspace. The Admin monitoring workspace allows you to track and  monitor detailed information about the execution of notebooks and jobs, including the
 underlying versions of Delta or other technologies used. It provides insights into execution
 details, including versions and configurations used during job runs, making it the most
 appropriate choice for identifying the Delta version used during the execution of
 Notebook1.
Question #4

 You are developing a data pipeline named Pipeline1. You need to add a Copy data activity that will copy data from a Snowflake data source to a Fabric warehouse. Which option from the Settings tab of the Copy data activity must you configure?

  • A. Enable logging 
  • B. Fault tolerance 
  • C. Enable staging 
  • D. Degree of copy parallelism 
Answer: C

Question #5

 You have a Fabric workspace named Workspace-!. Workspace! contains a notebook named Notebookl that performs the following tasks: • Loads stage data to the target tables in a lakehouse • Triggers the refresh of a semantic model You plan to add functionality to Notebookl that will use the Fabric API to monitor the semantic model refreshes. You need to retrieve the registered application ID and secret from KeyVaultl to generate the authentication token. Solution: You use the following code segment: Use notebookutils.credentials.getSecret and specify the key vault URL and key vault secret. Does this meet the goal?

  • A. Yes 
  • B. No 
Answer: A
Question #6

You have a Fabric workspace that contains a semantic model named Modell. You need to monitor the refresh history of Model 1 and visualize the refresh history in a chart. What should you use? 

  • A. the refresh history from the settings of Model1.  
  • B. a notebook 
  • C. a Dataflow Gen2 dataflow 
  • D. a data pipeline
Answer: A
Question #7

 You use a notebook named Notebook1 to ingest and transform data from an external data source. You need to execute Notebook1 as part of a data pipeline named Pipeline1. The process must meet the following requirements: • Run daily at 07:00 AM UTC. • Attempt to retry Notebook1 twice if the notebook fails. • After Notebook1 executes successfully, refresh Model1. Which three actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

  • A. Set the Retry setting of the Notebook activity to 2. 
  • B. Place the Semantic model refresh activity after the Notebook activity and link the activities by using an On completion condition. 
  • C. Place the Semantic model refresh activity after the Notebook activity and link the activities by using the On success condition.
  • D. From the Schedule settings of Notebook1, set the time zone to UTC. 
  • E. From the Schedule settings of Pipeline1, set the time zone to UTC. 
  • F. Set the Retry setting of the Semantic model refresh activity to 2.
Answer: A,C,E
Question #8

 You have a Fabric workspace named Workspace1 that contains a warehouse named DW1 and a data pipeline named Pipeline1. You plan to add a user named User3 to Workspace1. You need to ensure that User3 can perform the following actions: View all the items in Workspace1. Update the tables in DW1. The solution must follow the principle of least privilege. You already assigned the appropriate object-level permissions to DW1. Which workspace role should you assign to User3?

  •  A. Admin 
  • B. Member 
  • C. Viewer 
  • D. Contributor
Answer: D
 Explanation:  
To ensure User3 can view all items in Workspace1 and update the tables in DW1, the most
 appropriate workspace role to assign is the Contributor role. This role allows User3 to: 
View all items in Workspace1: The Contributor role provides the ability to view all objects
 within the workspace, such as data pipelines, warehouses, and other resources. 
Update the tables in DW1: The Contributor role allows User3 to modify or update resources
 within the workspace, including the tables in DW1, assuming that appropriate object-level
 permissions are set for the warehouse. 
This role adheres to the principle of least privilege, as it provides the necessary
 permissions without granting broader administrative rights. 

Question #9

You have a Fabric workspace that contains an eventstream named EventStreaml. EventStreaml outputs events to a table named Tablel in a lakehouse. The streaming data is souiced from motorway sensors and represents the speed of cars. You need to add a transformation to EventStream1 to average the car speeds. The speeds must be grouped by non-overlapping and contiguous time intervals of one minute. Each event must belong to exactly one window. Which windowing function should you use?

  • A. sliding 
  • B. hopping 
  • C. tumbling 
  • D. session 
Answer: C
Question #10

 You need to develop an orchestration solution in fabric that will load each item one after the other. The solution must be scheduled to run every 15 minutes. Which type of item should you use?

  • A. warehouse 
  • B. data pipeline 
  • C. Dataflow Gen2 dataflow 
  • D. notebook 
Answer: B

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