Microsoft Fabric Data Warehousing
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Questions and Answers

What is the foundation of Microsoft Fabric?

  • A lake-centric SaaS experience (correct)
  • Microsoft OneLake as the centerpiece
  • An enterprise-grade distributed processing engine
  • A complete, SaaS-ified Data, Analytics and AI platform
  • How does Warehouse in Microsoft Fabric aim to simplify an organization's investment in their analytics estate?

  • By offering industry leading performance at scale
  • By eliminating the need for configuration and management
  • By tightly integrating with Power BI for easy analysis and reporting (correct)
  • By leveraging Database, Analytics, Messaging, Data Integration, and Business Intelligence workloads
  • What are the benefits of data warehousing workloads in Microsoft Fabric?

  • Offering a complete, SaaS-ified Data, Analytics and AI platform
  • Converging the world of data lakes and warehouses
  • Providing a unified product that addresses every aspect of the data estate
  • Enabling customers to focus on data preparation, analysis, and reporting over a single copy of their data stored in Microsoft OneLake (correct)
  • What is the primary goal of Warehouse in Microsoft Fabric?

    <p>Greatly simplifying an organization's investment in their analytics estate</p> Signup and view all the answers

    What feature of Microsoft Fabric enables customers to reduce their time to insights?

    <p>Always connected semantic model</p> Signup and view all the answers

    Which tool can be used to create cross-database queries in Microsoft Fabric?

    <p>SQL Server Management Studio (SSMS)</p> Signup and view all the answers

    What is the purpose of the distributed query processing engine in Microsoft Fabric?

    <p>To offer best in breed performance with automatic scale and concurrency</p> Signup and view all the answers

    What type of data storage is used in the Warehouse of Microsoft Fabric?

    <p>Parquet file format</p> Signup and view all the answers

    How does Microsoft Fabric ensure true isolation for different workloads?

    <p>By providing a natural isolation boundary for workloads</p> Signup and view all the answers

    What enables customers to stand up virtual warehouses containing data from virtually any source in Microsoft Fabric?

    <p>Creating shortcuts to their data wherever it resides</p> Signup and view all the answers

    Match the following components with their role in Microsoft Fabric:

    <p>Data Integration = Enables customers to stand up virtual warehouses containing data from virtually any source Business Intelligence = Tightly integrated with Power BI for easy analysis and reporting Messaging = Part of the unified product that addresses every aspect of the data estate Analytics = Benefit from the rich capabilities of the SQL engine over an open data format</p> Signup and view all the answers

    Match the following descriptions with the appropriate term in Microsoft Fabric:

    <p>Lake-centric SaaS experience = Built on an enterprise-grade distributed processing engine Microsoft OneLake = Single copy of data stored for data preparation, analysis, and reporting Warehouse in Microsoft Fabric = Converges the world of data lakes and warehouses SQL engine = Rich capabilities over an open data format</p> Signup and view all the answers

    Match the following features with their benefits in Microsoft Fabric:

    <p>Easy to use SaaS experience = Tightly integrated with Power BI for easy analysis and reporting Distributed processing engine = Enables industry-leading performance at scale Open data format = Focus on data preparation, analysis, and reporting over a single copy of data Warehouse convergence = Simplifies an organization's investment in their analytics estate</p> Signup and view all the answers

    Match the following statements with their corresponding aspect of Microsoft Fabric:

    <p>Complete, SaaS-ified Data, Analytics, and AI platform = Unified product addressing every aspect of the data estate Eliminating the need for configuration and management = Enterprise-grade distributed processing engine Rich, easy to use, shared SaaS experience = Lake-centric SaaS experience built on a distributed processing engine Focus on data preparation, analysis, and reporting over a single copy of data = Open data format</p> Signup and view all the answers

    Match the following data storage formats with their usage in Microsoft Fabric Warehouse:

    <p>Parquet file format = Storage format for data in the Warehouse Delt = Published format for data in the Warehouse Azure Data Lake Storage = Source of data for virtual warehouses OneLake = Source of data for virtual warehouses</p> Signup and view all the answers

    Match the following querying tools with their usage in Microsoft Fabric Warehouse:

    <p>Visual Query editor = No-code path to insights over multiple tables SQL Query editor = Tool for creating cross-database queries SQL Server Management Studio (SSMS) = Tool for creating cross-database queries Autonomous workload management = Feature for distributed query processing engine</p> Signup and view all the answers

    Match the following benefits with their feature in Microsoft Fabric Warehouse:

    <p>Reduced time to insights = Always connected semantic model integrated with Power BI in DirectLake mode Cross-database querying = Seamlessly leverage multiple data sources that span multiple databases True isolation for workloads = Separating workloads with different characteristics to avoid interference Open format for seamless engine interoperability = Data stored in parquet file format and published as Delt</p> Signup and view all the answers

    Match the following user roles with their compatibility in Microsoft Fabric Warehouse:

    <p>Citizen developer = Built for any skill level Professional developer, DBA, or data engineer = Rich set of experiences built into Microsoft Fabric workspace ETL jobs and ad hoc analytics and reporting workloads = Isolation boundary provided by distributed query processing engine Customers creating shortcuts to their data wherever it resides = Building virtual warehouses</p> Signup and view all the answers

    Study Notes

    Microsoft Fabric Fundamentals

    • The foundation of Microsoft Fabric is a cloud-native, fully managed analytics platform.

    Warehouse in Microsoft Fabric

    • Warehouse aims to simplify an organization's investment in their analytics estate by providing a single, unified platform for all their analytics workloads.
    • The primary goal of Warehouse in Microsoft Fabric is to enable customers to extract insights from their data quickly and efficiently.

    Benefits of Data Warehousing Workloads in Microsoft Fabric

    • Data warehousing workloads in Microsoft Fabric offer scalability, performance, and security, allowing customers to extract insights from their data quickly and efficiently.
    • Data warehousing workloads enable customers to manage their data in a single, unified platform, reducing the complexity and cost of their analytics estate.

    Features of Microsoft Fabric

    • The distributed query processing engine enables customers to process large amounts of data quickly and efficiently.
    • The feature that enables customers to reduce their time to insights is the accelerated data processing capabilities of Microsoft Fabric.
    • The tool that can be used to create cross-database queries in Microsoft Fabric is the SQL query editor.

    Data Storage in Microsoft Fabric Warehouse

    • The type of data storage used in the Warehouse of Microsoft Fabric is columnar storage, which provides efficient data compression and query performance.

    Isolation and Virtual Warehouses in Microsoft Fabric

    • Microsoft Fabric ensures true isolation for different workloads using logical separation and network isolation.
    • Customers can stand up virtual warehouses containing data from virtually any source in Microsoft Fabric using the Fabric's data integration capabilities.

    Components and Roles in Microsoft Fabric

    • (Match the following components with their role in Microsoft Fabric)
    • (Match the following descriptions with the appropriate term in Microsoft Fabric)

    Querying and Analytics in Microsoft Fabric Warehouse

    • (Match the following querying tools with their usage in Microsoft Fabric Warehouse)
    • (Match the following benefits with their feature in Microsoft Fabric Warehouse)

    User Roles and Compatibility in Microsoft Fabric Warehouse

    • (Match the following user roles with their compatibility in Microsoft Fabric Warehouse)

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    Learn about data warehousing in Microsoft Fabric, a unified platform offering SaaS-ified Data, Analytics and AI solutions. Understand how it enables users to leverage Database, Analytics, Messaging, Data Integration, and Business Intelligence.

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