| Exam Code | DP-700 |
| Exam Name | Implementing Data Engineering Solutions Using Microsoft Fabric |
| Questions | 129 Questions Answers With Explanation |
| Update Date | July 09,2026 |
| Price |
Was : |
Welcome to Certsleader, your ultimate source for top-quality DP-700 dumps tailored for Microsoft DP-700 exam. Our comprehensive resources are designed to help you excel in your exam preparations and achieve your certification goals. Whether you are a beginner looking to start a career in Microsoft or an experienced professional seeking to advance your skills, Certsleader has the right tools to support your journey.
At Certsleader, we are committed to your success. Our practice questions answers are designed to improve your knowledge and help you pass your exams on the first attempt with high scores. In the rare event that you do not succeed, we offer a full refund, taking responsibility for your satisfaction.
Join thousands of satisfied learners who have successfully passed their certification exams with Certsleader. Explore our study materials, download your PDF files, and take the first step towards a rewarding IT career today.
You have a Fabric workspace that contains a takehouse and a semantic model named Model1. 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.
You need to ensure that processes for the bronze and silver layers run in isolation How should you configure the Apache Spark settings?
A. Modify the number of executors.
B. Disable high concurrency.
C. Create a custom pool.
D. Set the default environment.
You need to create a workflow for the new book cover images. Which two components should you include in the workflow? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
A. a notebook that uses Apache Spark Structured Streaming
B. a time-based schedule
C. an activator item
D. a data pipeline
E. a streaming dataflow
F. a blob storage action
You need to recommend a solution to resolve the MAR1 connectivity issues. The solution must minimize development effort. What should you recommend?
A. Add a ForEach activity to the data pipeline.
B. Configure retries for the Copy data activity.
C. Configure Fault tolerance for the Copy data activity.
D. Call a notebook from the data pipeline.
You need to recommend a solution for handling old files. The solution must meet the technical requirements. What should you include in the recommendation?
A. a data pipeline that includes a Copy data activity
B. a notebook that runs the VACUUM command
C. a notebook that runs the OPTIMIZE command
D. a data pipeline that includes a Delete data activity
You need to schedule the population of the medallion layers to meet the technical requirements. What should you do?
A. Schedule a data pipeline that calls other data pipelines.
B. Schedule a notebook.
C. Schedule an Apache Spark job.
D. Schedule multiple data pipelines.
You need to ensure that WorkspaceA can be configured for source control. Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
A. Assign WorkspaceA to Capl.
B. From Tenant setting, set Users can synchronize workspace items with their Git repositories to Enabled
C. Configure WorkspaceA to use a Premium Per User (PPU) license
D. From Tenant setting, set Users can sync workspace items with GitHub repositories to Enabled
You have a Fabric workspace that contains a lakehouse named Lakehousel. You plan to create a data pipeline named Pipeline! to ingest data into Lakehousel. You will use a parameter named paraml to pass an external value into Pipeline1!. The paraml parameter has a data type of int You need to ensure that the pipeline expression returns param1 as an int value. How should you specify the parameter value?
A. "@pipeline(). parameters. paraml"
B. "@{pipeline().parameters.paraml}"
C. "@{pipeline().parameters.[paraml]}"
D. "@{pipeline().parameters.paraml}-
You have a Fabric workspace named Workspace1. You plan to configure Git integration for Workspacel by using an Azure DevOps Git repository. An Azure DevOps admin creates the required artifacts to support the integration of Workspacel Which details do you require to perform the integration?
A. the project, Git repository, branch, and Git folder
B. the organization, project. Git repository, and branch
C. the Git repository URL and the Git folder
D. the personal access token (PAT) for Git authentication and the Git repository URL
You have a Fabric workspace named Workspace1. Your company acquires GitHub licenses. You need to configure source control for Workpace1 to use GitHub. The solution must follow the principle of least privilege. Which permissions do you require to ensure that you can commit code to GitHub?
A. Actions (Read and write) and Contents (Read and write)
B. Actions (Read and write) only
C. Contents (Read and write) only
D. Contents (Read) and Commit statuses (Read and write)
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
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.
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
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
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
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
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.
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
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
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