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Which tool in Microsoft Fabric is used to ensure data privacy and regulatory compliance?. Azure Purview. Azure Data Factory. Azure Event Hubs. Azure Synapse Analytics.

Which of the following best describes an ELT process in Microsoft Fabric?. Extract, Load, and Transform data in sequential steps with dependencies. Extract, Load, Transform data with streaming capabilities. Extract, Load, Transform data in real-time. Extract, Transform, Load data in parallel.

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 Dataflow Gen1 dataflow. a data pipeline. a KQL queryset. a notebook.

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 as part of a medallion architecture. 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?. service principal. Microsoft Entra username and password. managed private endpoint. workspace identity.

You have two Fabric workspaces named Workspace1 and Workspace2. You have a Fabric deployment pipeline named deployPipeline1 that deploys items from Workspace1 to Workspace2. DeployPipeline1 contains all the items in Workspace1. You recently modified the items in Workspaces1. The workspaces currently contain the items shown in the following table. 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. The solution must minimize effort. What should you do?. Delete all the items in Workspace2, and then run deployPipeline1. Rename each item in Workspace2 to have the same name as the items in Workspace1. Back up the items in Workspace2, and then run deployPipeline1. Run deployPipeline1 without modifying the items in Workspace2.

You have an Azure subscription that contains a blob storage account named sa1. Sa1 contains two files named Filelxsv and File2.csv. You have a Fabric tenant that contains the items shown in the following table. You need to configure Pipeline1 to perform the following actions: * At 2 PM each day, process Filel.csv and load the file into flhl. * At 5 PM each day. process File2.csv and load the file into flhl. The solution must minimize development effort. What should you use?. a job definition. a data pipeline schedule. a data pipeline trigger. an activator.

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?. GitHub Actions. a deployment pipeline. an Azure DevOps pipeline.

You have a Fabric 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?. Disable V-Order. Drop statistics. Enable V-O-der. Create statistics.

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?. Degree of copy parallelism. Fault tolerance. Enable staging. Enable logging.

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?. only data added to new databases that are added to the eventhouse. only the existing data in the eventhouse. no data. both new data and existing data in the eventhouse. only new data added to the eventhouse.

You need to implement the solution for the book reviews. Which should you do?. Create a Dataflow Gen2 dataflow. Create a shortcut. Enable external data sharing. Create a data pipeline.

Case Study 1 - Contoso, Ltd Overview. Company Overview Contoso, Ltd. is an online retail company that wants to modernize its analytics platform by moving to Fabric. The company plans to begin using Fabric for marketing analytics. Overview. IT Structure The company's IT department has a team of data analysts and a team of data engineers that use analytics systems. The data engineers perform the ingestion, transformation, and loading of data. They prefer to use Python or SQL to transform the data. The data analysts query data and create semantic models and reports. They are qualified to write queries in Power Query and T-SQL. Existing Environment. Fabric Contoso has an F64 capacity named Cap1. All Fabric users are allowed to create items. Contoso has two workspaces named Workspace A and Workspace B that currently use Pro license mode. Existing Environment. Source Systems Contoso has a point of sale (POS) system named POS1 that uses an instance of SQL Server on Azure Virtual Machines in the same Microsoft Entra tenant as Fabric. The host virtual machine is on a private virtual network that has public access blocked. POS1 contains all the sales transactions that were processed on the company's website. The company has a software as a service (SaaS) online marketing app named MAR1. MAR1 has seven entities. The entities contain data that relates to email open rates and interaction rates, as well as website interactions. The data can be exported from MAR1 by calling REST APIs. Each entity has a different endpoint. Contoso has been using MAR1 for one year. Data from prior years is stored in Parquet files in an Amazon Simple Storage Service (Amazon S3) bucket. There are 12 files that range in size from 300 MB to 900 MB and relate to email interactions. You need to ensure that the data analysts can access the gold layer lakehouse. What should you do?. Add the DataAnalyst group to the Viewer role for WorkspaceA. Share the lakehouse with the DataAnalysts group and grant the Build reports on the default semantic model permission. Share the lakehouse with the DataAnalysts group and grant the Read all SQL Endpoint data permission. Share the lakehouse with the DataAnalysts group and grant the Read all Apache Spark permission.

The storage team has just deployed a SAN from a new vendor. The operations team has asked for it to be monitored, but a vendor specific management pack must be downloaded and installed first. Where should this task be completed?. In the administration interface of vRealize Log Insight. Under the Infrastructure menu in Cloud Assembly. Under Cloud Accounts in the Administration tab in vRealize Operations Manager. In the Marketplace feature of vRealize Suite Lifecycle Manager.

Case Study 2 - Litware, Inc Overview Litware, Inc. is a publishing company that has an online bookstore and several retail bookstores worldwide. Litware also manages an online advertising business for the authors it represents. Existing Environment. Fabric Environment Litware has a Fabric workspace named Workspace1. High concurrency is enabled for Workspace1. The company has a data engineering team that uses Python for data processing. Existing Environment. Data Processing The retail bookstores send sales data at the end of each business day, while the online bookstore constantly provides logs and sales data to a central enterprise resource planning (ERP) system. Litware implements a medallion architecture by using the following three layers: bronze, silver, and gold. The sales data is ingested from the ERP system as Parquet files that land in the Files folder in a lakehouse. Notebooks are used to transform the files in a Delta table for the bronze and silver layers. The gold layer is in a warehouse that has V-Order disabled. Litware has image files of book covers in Azure Blob Storage. The files are loaded into the Files folder. Existing Environment. Sales Data Month-end sales data is processed on the first calendar day of each month. Data that is older than one month never changes. In the source system, the sales data refreshes every six hours starting at midnight each day. The sales data is captured in a Dataflow Gen1 dataflow. When the dataflow runs, new and historical data is captured. The dataflow captures the following fields of the source: - Sales Date - Author - Price - Units - SKU A table named AuthorSales stores the sales data that relates to each author. The table contains a column named AuthorEmail. Authors authenticate to a guest Fabric tenant by using their email address. You need to implement the solution for the book reviews. Which should you do?. A. Create a Dataflow Gen2 dataflow. Create a shortcut. Enable external data sharing. Create a data pipeline.

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?. Enable high concurrency for notebooks. Enable dynamic allocation for the Spark pool. Change the runtime version. Increase the number of executors.

You have a Fabric workspace named Workspace1 that contains a lakehouse named Lakehouse1. Lakehouse1 contains the following tables: - Orders - Customer - Employee The Employee table contains Personally Identifiable Information (PII). A data engineer is building a workflow that requires writing data to the Customer table, however, 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 three actions should you perform? Each correct answer presents part of the solution. Share Lakehouse1 with the data engineer. Assign the data engineer the Contributor role for Workspace2. Assign the data engineer the Viewer role for Workspace2. Assign the data engineer the Contributor role for Workspace1. Migrate the Employee table from Lakehouse1 to Lakehouse2. Create a new workspace named Workspace2 that contains a new lakehouse named Lakehouse2. 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?. ISTORED PROCEDURE. CONSTRAINT. SCHEMA. 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?. GitHub Actions. a deployment pipeline. 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 database project. a deployment pipeline. a Python script. a T-SQL script.

You need to schedule the population of the medallion layers to meet the technical requirements. What should you do?. Schedule multiple data pipelines. Schedule a notebook. Schedule a data pipeline that calls other data pipelines. Schedule an Apache Spark job.

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 the key vault URL and key vault secret. Does this meet the goal?. Yes. No.

You are tasked with loading historical sales data stored in Azure Data Lake into a Lakehouse. You must clean null values, aggregate by region, and ensure the data is not duplicated. Which three steps should you follow?. Use a shortcut to the Azure Data Lake folder. Load directly into Power BI. Clean nulls using PySpark. Aggregate by region in a Spark notebook. Re-load entire data daily.

What is the minimum role required to apply item-level access controls in a Fabric workspace?. Viewer. Contributor. Admin. Member.

What is the recommended method to improve Spark notebook execution performance for large joins?. Use broadcast joins where applicable. Disable caching. Add sensitivity labels. Apply row-level security.

Which orchestration pattern is ideal when you want to reuse a common transformation notebook across multiple pipelines?. Loop-based trigger. Notebook parameterization. Workspace promotion. Mirroring.

In a dimensional model, what is a common method used to track changes in dimension values over time?. CDC (Change Data Capture). Partitioning. Slowly Changing Dimensions (SCD). Spark Checkpoints.

When configuring Spark sessions in Fabric, which two parameters most directly influence parallel data processing efficiency? (Choose two). Executor cores. Session timeout. Driver logging level. Number of executors.

Which of the following is required to configure default settings for data pipeline execution in a Fabric workspace?. Assigning dynamic expressions in notebook cells. Selecting the event retention period. Setting the default compute type and concurrency limit. Linking the workspace to Power Automate.

A data engineer notices that a daily semantic model refresh is taking longer than usual and sometimes fails. The model processes a large Lakehouse table. The business expects refreshed data by 8 AM daily. Which three actions should the engineer take to resolve the issue?. Check refresh logs in Monitor Hub. Reschedule to 6 AM without diagnosis. Monitor DAX query performance. Enable email alerts for failure. Delete and recreate the semantic model.

Why would an organization use domain-specific Fabric workspaces?. To separate compute from storage. To delegate access control at the business unit level. To enforce static IP addresses for data access. To host Power BI dashboards only.