DP700 Examice

You have a Fabric workspace and semi-structured data. You need to read the data by using T-SQL, KQL, and Apache Spark. The data will only be written by using Spark. What should you use to store the data?. A. A lakehouse. B. An eventhouse. C. A datamart. D. A warehouse.

You have a Fabric workspace that contains a warehouse named Warehouse1. You have an on-premises Microsoft SQL Server database named Database1 that is accessed by using an on-premises data gateway. You need to copy data from Database1 to Warehouse1. Which item should you use?. A. A Dataflow Gen1 dataflow. B. A data pipeline. C. A KQL queryset. D. A notebook.

You have a Fabric workspace that contains a warehouse named Warehouse1. You have an on-premises Microsoft SQL Server database named Database1 that is accessed by using an on-premises data gateway. You need to copy data from Database1 to Warehouse1. Which item should you use?. A. An Apache Spark job definition. B. A data pipeline. C. A Dataflow Gen1 dataflow. D. An eventstream.

You have a Fabric F32 capacity that contains a workspace. The workspace contains a warehouse named DW1 that is modeled by using MD5 hash surrogate keys. DW1 contains a single fact table that has grown from 200 million rows to 500 million rows during the past year. You have Microsoft Power BI reports that are based on Direct Lake. The reports show year-over-year values. Users report that the performance of some of the reports has degraded over time and some visuals show errors. You need to resolve the performance issues. Which should you do?. A. Change the MD5 hash to SHA256. B. Increase the capacity. C. Enable V-Order. D. Modify the surrogate keys to use a different data type. E. Create views.

Which components must be selected to complete the T-SQL query code. SELECT CAST. SELECT CONVERT. SELECT YEAR. CUBE(YEAR(SO.ModifiedDate), P.Name). GROUPING SETS ((YEAR(SO.ModifiedDate), P.Name), (YEAR(SO.ModifiedDate))). ROLLUP(YEAR(SO.ModifiedDate), P.Name). YEAR(SO.ModifiedDate), P.Name.

Which three columns should you include in the DimProduct table? (Select 3). A. Date. B. ProductName. C. ProductColor. D. TransactionID. E. SalesAmount. F. ProductID.

You have a Fabric workspace named Workspace1 that contains a notebook named Notebook1. In Workspace1, you create a new notebook named Notebook2. You need to ensure that you can attach Notebook2 to the same Apache Spark session as Notebook1. What should you do?. A. Enable high concurrency for notebooks. B. Enable dynamic allocation for the Spark pool. C. Change the runtime version. D. Increase the number of executors.

You have a Fabric workspace named Workspace1 that contains a lakehouse named Lakehouse1. Lakehouse1 contains the following tables: - Orders - Customers - Employee The employee table contains Personally Identifiable Information (PII) A data engineer is building a workflow that requires writing data to the Customer table, the user does NOT have the elevated permissions required to view the contents of the Employee table. You need to ensure that the data engineer can write data to the Customer table without reading data from the Employee table. Which tree actions should you perform? Each correct answer presents part of the solution. A. Share Lakehouse1 with the data engineer. B. Assign the data engineer the Contributor role for Workspace2. C. Assign the data engineer the Viewer role for Workspace2. D. Assign the data engineer the Contributor role for Workspace1. E. Migrate the Employee table from Lakehouse1 to Lakehouse2. F. Create a new workspace named Workspace2 that contains a new lakehouse named Lakehouse2. G. Assign the data engineer the Viewer role for Workspace1.

You have a Fabric warehouse named DW1. DW1 contains a table that stores sales data and is used by multiple sales representatives. You plan to implement row-level security (RLS). You need to ensure that the sales representatives can see only their respective data. Which warehouse object do you require to implement RLS?. A. STORED PROCEDURE. B. CONSTRAINT. C. SCHEMA. D. FUNCTION.

You have a Fabric deployment pipeline that uses three workspaces named Dev, Test, and Prod. You need to deploy an eventhouse as part of the deployment process. What should you use to add the eventhouse to the deployment process?. A. GitHub Actions. B. A deployment pipeline. C. An Azure DevOps pipeline.

You have a Fabric workspace named Workspace1 that contains a warehouse named Warehouse1. You plan to deploy Warehouse1 to a new workspace named Workspace2. As part of the deployment process, you need to verify whether Warehouse1 contains invalid references. The solution must minimize development effort. What should you use?. A. A database project. B. A deployment pipeline. C. A Python script. D. A T-SQL script.

You have a Fabric workspace that contains a Real-Time Intelligence solution and an eventhouse. Users report that from OneLake file explorer, they cannot see the data from the eventhouse. You enable OneLake availability for the eventhouse. What will be copied to OneLake?. A. Only data added to new databases that are added to the eventhouse. B. Only the existing data in the eventhouse. C. No data. D. Both new data and existing data in the eventhouse. E. Only new data added to the eventhouse.

You have a Fabric workspace named Workspace1. You plan to integrate Workspace1 with Azure DevOps. You will use a Fabric deployment pipeline named deployPipeline1 to deploy items from Workspace1 to higher environment workspaces. You will run deployPipeline1 by using an API call from an Azure DevOps pipeline. You need to configure API authentication between Azure DevOps and Fabric. Which type of authentication should you use?. A. Service principal. B. Microsoft Entra username and password. C. Managed private endpoint. D. Workspace identity.

You have a Fabric workspace named Workspace1 that contains a data pipeline named Pipeline1 and a lakehouse named Lakehouse1. You have a deployment pipeline named deployPipeline1 that deploys Workspace1 to Workspace2. You restructure Workspace1 by adding a folder named Folder1 and moving Pipeline1 to Folder1. You use deployPipeline1 to deploy Workspace1 to Workspace2. What occurs to Workspace2?. A. Folder1 is created, Pipeline1 moves to Folder1, and Lakehouse1 is deployed. B. Only Pipeline1 and Lakehouse1 are deployed. C. Folder1 is created, and Pipeline1 and Lakehouse1 move to Folder1. D. Only Folder1 is created and Pipeline1 moves to Folder1.

You have a Fabric workspace that contains a lakehouse and a notebook named Notebook1. Notebook1 reads data into a DataFrame from a table named Table1 and applies transformation logic. The data from the DataFrame is then written to a new Delta table named Table2 by using a merge operation. You need to consolidate the underlying Parquet files in Table1. Which command should you run?. A. VACUUM. B. BROADCAST. C. OPTIMIZE. D. CACHE.

Trips and Stores only. Products and Store only. Stores only. Products only. Products, Stores and Trips.

Your company has a sales department that uses two Fabric workspaces named Workspace1 and Workspace2. The company decides to implement a domain strategy to organize the workspaces. You need to ensure that a user can perform the following tasks: Create a new domain for the sales department. Create two subdomains one for the east region and one for the west region. Assing Workspace1 to the east region and one for the west region. Assign Workspace2 to the west region subdomain. The solution must follow the principle of least privilege. Which role should you assign to the user?. A. workspace Admin. B. domain admin. C. domain contributor. D. Fabric admin.

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 view all the items in Workspace1 and 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 capacity that contains a workspace named Workspace1. Workspace1 contains a lakehouse named Lakehouse1, a data pipeline, a notebook, and several Microsoft Power BI reports. A user named User1 wants to use SQL to analyze the data in Lakehouse1. You need to configure access for User1 to meet the following requirements: Provide User1 with read access to the table data in Lakehouse1, prevent User1 from using Apache Spark to query the underlying files, and prevent User1 from accessing other items in Workspace1. What should you do?. A. Share Lakehouse1 with User1 directly and select Read all SQL endpoint data. B. Assign User1 the Viewer role for Workspace1. Share Lakehouse1 with User1 and select Read all SQL endpoint data. C. Share Lakehouse1 with User1 directly and select Build reports on the default semantic model. D. Assign User1 the Member role for Workspace1. Share Lakehouse1 with User1 and select Read all SQL endpoint data.

You have two Fabric workspaces named Workspace1 and Workspace2. You have a Fabric deployment pipeline named deployPipeline1 that contains all items in Workspace1 and deploys them to Workspace2. You recently modified the items in Workspace1. Items in Workspace1 that have the same name as items in Workspace2 are currently paired. You need to ensure that the items in Workspace1 overwrite the corresponding items in Workspace2 with the minimum amount of effort. What should you do?. A. Delete all the items in Workspace2, and then run deployPipeline1. B. Rename each item in Workspace2 to have the same name as the items in Workspace1. C. Back up the items in Workspace2, and then run deployPipeline1. D. Run deployPipeline1 without modifying the items in Workspace2.

You have a Fabric workspace named Workspace1 that contains a data pipeline named Pipeline1 and a lakehouse named Lakehouse1. You have a deployment pipeline named deployPipeline1 that deploys Workspace1 to Workspace2. You restructure Workspace1 by adding a folder named Folder1 and moving Pipeline1 to Folder1. You use deployPipeline1 to deploy Workspace1 to Workspace2. What occurs to Workspace2?. A. Folder1 is created, Pipeline1 moves to Folder1, and Lakehouse1 is deployed. B. Only Pipeline1 and Lakehouse1 are deployed. C. Folder1 is created, and Pipeline1 and Lakehouse1 move to Folder1. D. Only Folder1 is created and Pipeline1 moves to Folder1.

You have a Fabric workspace that contains a lakehouse and a notebook named Notebook1. Notebook1 reads data into a DataFrame from a table named Table1, applies transformations, and merges it into Table2. You need to consolidate the underlying Parquet files in Table1. Which command should you run?. A. VACUUM. B. BROADCAST. C. OPTIMIZE. D. CACHE.

You have five Fabric workspaces and are monitoring the execution of items by using the Monitoring hub. You need to identify in which workspace a specific item runs. Which column should you view in the Monitoring hub?. A. Start time. B. Capacity. C. Activity name. D. Submitter. E. Item type. F. Job type. G. Location.

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 have a Fabric workspace that contains a semantic model named Model1. You need to dynamically execute and monitor the refresh progress of Model1. What should you use?. A. Dynamic management views in Microsoft SQL Server Management Studio (SSMS). B. Monitoring hub. C. Dynamic management views in Azure Data Studio. D. A semantic link in a notebook.

You have a Fabric workspace named Workspace1 that contains the following items: - A Microsoft Power BI report named Report1 - A Power BI dashboard named Dashboard1 - A semantic model named Model1 - A lakehouse name Lakehouse1 Your company requires that specific governance processes be implemented for items Which items can you endorse in Fabric?. A. Lakehouse1, Model1, and Dashboard1 only. B. Lakehouse1, Model1, Report1 and Dashboard1. C. Report1 and Dashboard1 only. D. Model1, Report1, and Dashboard1 only. E. Lakehouse1, Model1, and Report1 only.

You have a Fabric workspace named Workspace1. Your company acquires GitHub licenses. You need to configure source control for Workspace1 to use GitHub. The solution must follow the principle of least privilege. Which repository 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 a Fabric workspace named Workspace1. You plan to configure Git integration for Workspace1 by using an Azure DevOps Git repository. Which group of configuration details do you require to perform the integration?. A. The organization, project, Git repository, and branch. B. The personal access token (PAT) for Git authentication and the Git repository URL. C. The project, Git repository, branch, and Git folder. D. The Git repository URL and the Git folder.

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

You have a Fabric workspace that contains a lakehouse named Lakehouse1. You plan to create a data pipeline named Pipeline1 to ingest data into Lakehouse1. You will use a parameter named param1 to pass an external value into Pipeline1. The param1 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.param1". B. "@{pipeline().parameters.param1}". C. "@{pipeline().parameters.[param1]}". D. "@@{pipeline().parameters.param1}".

You have a Fabric workspace named Workspace1 that contains lakehouse named Lakehouse1. Workspace1 contains the following items: - A Dataflow Gen2 dataflow that copies data from an on-premises Microsoft SQL Server database to Lakehouse1 - A notebook that transforms files and loads the data to Lakehouse1 - A data pipeline that loads a CSV file to Lakehouse1 You need to develop an orchestation 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. Notebook. B. Warehouse. C. Dataflow Gen2 dataflow. D. Data pipeline.

A. Copy_kdi will run first, and then Execute procedure1 will run. B. Execute procedure1 will run first, and then Copy_kdi will run. C. Execute procedure1 will run and Copy_kdi will be skipped. D. Copy_kdi will run and Execute procedure1 will be skipped. E. Both activities will run simultaneously. F. Both activities will be skipped.

You have a Fabric deployment pipeline that uses three workspaces named Dev, Test, and Prod. You need to deploy an eventhouse as part of the deployment process. What should you use to add the eventhouse to the deployment process?. A. GitHub Actions. B. A deployment pipeline. C. An Azure DevOps pipeline.

You have a Fabric warehouse named DW1. DW1 contains a table that stires sales data and is used by multiple sales representatives. You plan to implement row-level security (RLS) You need to ensure that the sales representatives can see only their respective data. Which warehouse object do you require to implement RLS?. A. TRIGGER. B. SCHEMA. C. FUNCTION. D. DATBASE ROLE.

You have a Fabric warehouse named DW1. DW1 contains a table that stires sales data and is used by multiple sales representatives. You plan to implement row-level security (RLS) You need to ensure that the sales representatives can see only their respective data. Which warehouse object do you require to implement RLS?. A. SECURITY POLICY. B. TABLE. C. TRIGGER. D. STORED PROCEDURE.

You have a Fabric F32 capacity that contains a workspace. The workspace contains a warehouse named DW1 that is modeled by using MD5 hash surrogate keys. DW1 contains a single fact table that has grown from 200 million rows to 500 million rows during the past year. You have Microsoft Power BI reports that are based on Direct Lake. The reports show year-over-year values. Users report that the performance of some of the reports has degraded over time and some visuals show errors. You need to resolve the performance issues. The solution must provide the best query performance and minimize operational costs. Which should you do?. A. Change the MD5 hash to SHA256. B. Increase the capacity. C. Enable V-Order. D. Modify the surrogate keys to use a different data type. E. Create views.

You have a Fabric workspace named Workspace1 that contains a warehouse named Warehouse1. You plan to deploy Warehouse1 to a new workspace named Workspace2. As part of the deployment process, you need to verify whether Warehouse1 contains invalid references. The solution must minimize development effort. What should you use?. A. a dbt project. B. a deployment pipeline. C. a Python script. D. a database project.

You have a Fabric workspace that contains a lakehouse named Lakehouse1. Lakehouse1 contains a table named Table1. You need to ensure that a user named User1 can view only specific rows in Table1. What should you do first?. A. Create a security predicate. B. Create a function. C. Create a security policy. D. Grant User1 the SELECT permission for Table1.

You have a Fabric workspace named Workspace1 that contains a lakehouse. You have a Microsoft Entra tenant that contains a user named User1. You need to ensure that User1 can create items in Workspace1. The solution must follow the principle of least privilege. Which workspace role should you assign to User1?. A. Member. B. Contributor. C. Admin. D. Viewer.

A. 1. B. 2. C. 3. D. 4.

You have a Fabric workspace named Workspace1 that uses version control. Workspace1 and Azure DevOps are integrated. In Azure DevOps, developers create a branch named Branch1 to test extract, transform and load (ETL) updates. You need to connect Workspace1 to Branch1. The solution must ensure that all the existing content in Branch1 is available in Workspace1. What should you do?. A. From Workspace1, select Source control, and then Sync. B. From Workspace1, select Source control, select Current branch, select Branch1, and then select Commit. C. From Azure DevOps, merge the contents of the main branch into Branch1. D. From Workspace1, select Source control, and then select Branch out to new workspace.

You have a Fabric workspace named Workspace1 that contains a lakehouse named Lakehouse1. You perform the following actions: - Connect Workspace1 to a Git repository and select the main branch - Create a new branch named feature1 and modify Lakehouse1 - Merge the changes from feature1 into the main branch You need to ensure that the changes are available in Workspace1. The solution must minimize changes to Workspace1. What should you do?. A. Disconnect Workspace1 from the Git repository and reconnect Workspace1 to the main branch. B. From Workspace1, select Source control, and then select Updates. C. From Workspace1, select Source control, and then select Commit. D. Switch Workspace1 to the feature1 branch and refresh the workspace.

You have a Fabric workspace that contains an eventstream named Eventstream1. Eventstream1 processes data from a thermal sensor by using event stream processing, and then stores the data in a lakehouse. You need to modify Eventstream1 to include the standard deviation of the temperature. Which transfrom operator should you include in the Eventstream1 logic?. A. Expand. B. Group by. C. Union. D. Aggregate.

You have an Azure event hub. Each event contains the following fields: - BikepointID - Street - Latitude - Longitude - No_Bikes - No_Empty_Docks You need to ingest the events. The solution must only retain events that have a Neighbourhood value of Chelsea, and then sotre the retained events in a Fabric lakehouse. What should you use?. A. a KQL queryset. B. an eventstream. C. a streaming dataset. D. Apache Spark Structured Streaming.

You have a Fabric workspace that contains a lakehouse named Lakehouse1. In an external data source, you have data files that are 500 GB each. A new file is added every day. You need to ingest the data into Lakehouse1 without applying any transformations. The solution must meet the following requirements Trigger the process when a new file is added. Provide the MOST throughput. Which type of item should you use to ingest the data?. A. Eventstream. B. Dataflow Gen2. C. Streaming dataset. D. Data pipeline.

You have a Fabric workspace that contains a lakehouse named Lakehouse1. In an external data source, you have data files that are 500 GB each. A new file is added every day. You need to ingest the data into Lakehouse1 without applying any transformations. The solution must meet the following requirements Trigger the process when a new file is added. Provide the highest troughput. Which type of item should you use to ingest the data?. A. Data pipeline. B. Enviroment. C. KQL queryset. D. Dataflow Gen2.

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. What should you configure?. A. Degree of copy parallelism. B. Fault tolerance. C. Enable staging. D. Enable logging.

You are implementing a medallion architecture in a Fabric lakehouse. You plan to create a dimension table that will contain the following columns: - ID - CustomerCode - CustomerName - CustomerAddress - CustomerLocation - ValidFrom - ValidTo You need to ensure that the table supports the analysis of historical sales data by customer location at the time of each sale. Which type of slowly changing dimension (SCD) should you use?. A. Type 2. B. Type 0. C. Type 1. D. Type 3.

You have a Fabric workspace that contains an eventstream named EventStream1. EventStream1 outputs events to a table named Table1 in a lakhouse. The streaming data is sourced 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 see?. A. sliding. B. hopping. C. tumbling. D. session.

You have a Fabric workspace that contains a warehouse named Warehouse1. You have an on-premises Microsoft SQL Server database named Database1 that is accesed by using an on-presmises data gateaway. You need to copy data from Database1 to Warehouse1. Which item should you use?. A. a datapipeline. B. an Apache Spark job definition. C. a streaming dataflow. D. a notebook.

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 attribute?. A. a hash function to compare the attributes in the source table. B. a direct attributes comparison across the attributes in the DimCustomer table. C. a direct attributes comparison for the attributes in the source table. D. a hash function to compare the attributes in the DimCustomer table.

You have an Azure SQL database named DB1. In a Fabric workspace, you deploy an eventstream named EventStreamDB1 to stream record changes from DB1 into a lakehouse. You discover that events are NOT being propagated to EventStreamDB1. You need to ensure that the events are propagated to EventStreamDB1. What should you do?. A. Create a read-only replica of DB1. B. Create an Azure Stream Analytics job. C. Enable Extend Events for DB1. D. Enable change data capture (CDC) for DB1.

You have an Azure eventhub. Each event contains the following fields: - BikepointID - Street - Neighbourhood - Latitude - Longitude - No_Bikes - No_Empty_Docks You need to ingest the events. The solution must only retain events that have a Neighbourhood value of Chelsea, and then store the retained events in a Fabric lakehouse. Data retention in case of failure is required to be two days. What should you use?. A. an eventstream. B. Apache Spark Structured Streaming. C. a streaming dataset. D. a KQL queryset.

You have a Fabric workspace that contains a lakehouse named Lakehouse1. In an external data source, you have datafiles that are 500 GB each. A new file is added every day. You need to ingest the data into Lakehouse1 without applying any transformations. The solution must meet the following requirements: - Trigger the process when a new file is added - Provide the highest throughput Which type of item should you use to ingest the data?. A. Environment. B. Data pipeline. C. Eventstream. D. KQL queryset.

You have a Fabric workspace that contains a lakehouse named Lakehouse1. In an external data source, you have data files that are 500 GB each. A new file is added every day. You need to ingest the data into Lakehouse1 without applying any transformations. The solution must meet the following requirements. - Trigger the process when a new file is added. - Provide the highest throughput Which type of item should you use to ingest the data?. A. Reflex. B. Eventstream. C. Notebook. D. KQL queryset.

You have a Microsoft Power Apps app named App1 that has data stored in Microsoft Dataverse. You need to access the App1 data by using Fabric. What should you use?. A. a data pipeline. B. mirroring. C. Dataflow Gen2. D. a shortcut.

What should you use?. A. a data pipeline trigger. B. a data pipeline schedule. C. a job definition. D. an activator.

A. customers.write.format("parquet").mode("append").saveAsTable("USCustomers"). B. customers.write.format("delta").mode("overwrite").save("Tables/USCustomers"). C. customers.write.format("delta").mode("overwrite").saveAsTable("USCustomers"). D. customers.write.format("parquet").mode("append").save("Tables/USCustomers").

You have a Fabric workspace that contains a lakehouse named Lakehouse1. Lakehouse1 contains a Delta table named Table1. You analyze Table1 and discover that Table1 contains 2,000 Parquet files of 1 MB each. You need to minimize how long it take to query Table1. What should you do?. A. Disable V-Order and run the OPTIMIZE command. B. Disable V-Order and run the VACUUM command. C. Run the OPTIMIZE and VACUUM commands.

You have a Fabric workspace that contains a warehouse named Warehouse1. Data is loaded daily into Warehouse1 by using data pipelines and stored procedures. You discover that the daily data load takes longer than expected. You need to monitor Warehouse1 to identify the names of users that are actively running queries. Which view should you use?. A. sys.dm_exec_connections. B. sys.dm_exec_request. C. queryinsights.long_running_queries. D. queryinsights.frequently_run_queries. E. sys.dm_exec_sessions.

You have a Fabric worskpace that contains an eventstream named EventStream1. EventStream1 outputs events to a table in a lakehouse. You need to remove files that are older than seven days and are no longer in use. Which command should you run?. A. VACUUM. B. COMPUTE. C. OPTIMIZE. D. CLONE.

You have a Fabric warehouse named DW1 that loads data by using a data pipeline named Pipeline1. Pipeline1 uses a Copy data activity with a dynamic SQL source. Pipeline1 is scheduled to run every 15 minutes. You discover that Pipeline1 keeps failing. You need to identify which SQL was executed when the pipeline failed. What should you do?. A. From Monitoring hub, select the latest failed run of Pipeline1, and then view the output JSON. B. From Monitoring hub, select the latest failed run of Pipeline1, and then view the input JSON. C. From Real-time hub, select Fabric events, and then review the details of Microsoft.Fabric.ItemReadFailed. D. From Real-time hub, select Fabric events, and then review the details of Microsoft.Fabric.ItemUpdateFailed.

You have a Fabric notebook named Notebook1 that has been executing succesfully for the last week. During the last run, Notebook1 executed nine jobs. You need to review the jobs in a timeline chart. What should you use?. A. Real-Time hub. B. Monitoring hub. C. the job history from the application run. D. Spark History Server. E. the run series from the details of the application run.

You have a Fabric workspace that contains a warehouse named Warehouse1. While monitoring Warehouse1, you discover that query performance has degraded during the last 60 minutes. You need to isolate all the queries that were run during the last 60 minutes. The results must include the username of the username of the users that submitted the queries and the query statements. What should you use?. A. the Microsoft Fabric Capacity Metrics app. B. views from the queryinsights schema. C. Query activity. D. the sys.dm_exec_request dynamic management view.

You have a Fabric workspace that contains a semantic model named Model1. You need to monitor the refresh history of Model1 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 have a Farbic workspace that contains a write-intensive warehouse named DW1. DW1 stores staging tables that are used to load a dimensional model. The tables are often read once, dropped, and then recreated to process new data. You need to minimize the load time of DW1. What should you do?. A. Enable V-Order. B. Create statistics. C. Drop statistics. D. Disable V-Order.

You have a Fabric workspace that contains a lakehouse named Lakehouse1. In an external data source, you have data files that are 500 GB each. A new file is added every day. You need to ingest the data into Lakehouse1 without applying any transformations. The solution must the following requirements: - Trigger the process when a new file is added. - Provide the highest throughput Which type of item should you use to ingest the data?. A. KQL queryset. B. Streaming dataset. C. Notebook. D. Dataflow Gen2.

You have a Fabric workspace that contains a lakehouse named Lakehouse1, a Dataflow Gen2 named Dataflow1, and a pipeline named Pipeline1. Dataflow1 loads data into Lakehouse1. You need to ensure that Dataflow1 always performs a full data load into Lakehouse1. The solution must minize how long it takes to load the data. What should you do?. A. Change the pipeline templates. B. For Dataflow1, set Update method to Replace. C. To Dataflow1, add a preview. D. To Pipeline1, add an activity to invoke a SQL script.

You have a Fabric workspace that contains a data pipeline named Pipeline1 and a notebook named Notebook1. Pipeline1 contains an activity that is used to run Notebook1. Pipeline is scheduled to run every 10 minutes. You receive an alert that Pipeline1 failed during the notebook execution activity. You need to identifiy in which cell the failure ocurred. What should you do from Monitor in the Fabric admin center?. A. Select the entry for the notebook execution, and then select the logs. B. Select the entry for the notebook execution, and then view the item snapshot. C. Select the entry for the pipeline execution, and then view the activity run. D. Select the entry for the pipeline execution, and then select the output.