Microsoft Fabric Data Warehousing

Questions and Answers

What is the foundation of Microsoft Fabric?

A lake-centric SaaS experience

How does Warehouse in Microsoft Fabric aim to simplify an organization's investment in their analytics estate?

By tightly integrating with Power BI for easy analysis and reporting

What are the benefits of data warehousing workloads in Microsoft Fabric?

Enabling customers to focus on data preparation, analysis, and reporting over a single copy of their data stored in Microsoft OneLake

What is the primary goal of Warehouse in Microsoft Fabric?

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

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

Always connected semantic model Signup and view all the answers

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

SQL Server Management Studio (SSMS) Signup and view all the answers

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

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

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

Parquet file format Signup and view all the answers

How does Microsoft Fabric ensure true isolation for different workloads?

By providing a natural isolation boundary for workloads Signup and view all the answers

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

Creating shortcuts to their data wherever it resides Signup and view all the answers

Match the following components with their role in Microsoft Fabric:

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 Signup and view all the answers

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

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 Signup and view all the answers

Match the following features with their benefits in Microsoft Fabric:

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 Signup and view all the answers

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

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 Signup and view all the answers

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

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 Signup and view all the answers

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

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 Signup and view all the answers

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

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 Signup and view all the answers

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

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 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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