Microsoft Fabric Training | Microsoft Fabric Online Training Institute

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Microsoft Fabric Frequently Asked Interview QAs
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1. What is Microsoft Fabric, and what are its key
components?

• Answer
• Microsoft Fabric is a unified data analytics
  platform that integrates various data services
  such as Azure Synapse Analytics, Azure Data
  Factory, and Azure Machine Learning. Its key
  components include
• Data Factory For data integration and ETL
  processes.
• Synapse Data Engineering For big data analytics
  and data processing.
• Synapse Data Warehousing For data storage and
  querying.
• Synapse Real-Time Analytics For real-time data
  processing and insights.
• Power BI For data visualization and business
  intelligence.
• Synapse Data Science For building and deploying
  machine learning models.
• Data Activator For real-time data-driven actions
  and alerts.

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2. How does Microsoft Fabric integrate with Power
BI?

• Answer
• Microsoft Fabric integrates seamlessly with Power
  BI to provide end-to-end analytics solutions.
  Data processed and stored in Fabric can be
  directly imported into Power BI for visualization
  and reporting. This integration allows users to
  create interactive dashboards and reports using
  data from Fabric's various services, such as
  Synapse Data Warehousing and Real-Time Analytics.
  The unified workspace simplifies data management
  and enhances collaboration between data
  engineers, analysts, and business users.

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3. What are the advantages of using Microsoft
Fabric over traditional analytics platforms?

• Answer
• Unified Platform Combines multiple services into
  a single platform, reducing the need for separate
  tools and integrations.
• Scalability Built on Azure, it offers scalable
  resources for handling large datasets and complex
  analytics.
• Real-Time Analytics Provides capabilities for
  processing and analyzing real-time data, enabling
  quicker decision-making.
• Integrated Security Leverages Azure's security
  features, ensuring data protection and
  compliance.
• Ease of Use User-friendly interface with tools
  that cater to different roles, such as data
  engineers, data scientists, and business
  analysts.

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4. Explain the role of Synapse Data Engineering
in Microsoft Fabric.

• AnswerSynapse Data Engineering in Microsoft
  Fabric focuses on big data processing and
  analytics. It allows users to perform complex
  data transformations, process large datasets, and
  run machine learning algorithms efficiently. The
  service integrates with Apache Spark, providing a
  powerful environment for data engineers to work
  with big data technologies. It supports languages
  like Python, Scala, and SQL, enabling users to
  leverage their preferred tools for data
  engineering tasks.

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5. How does Microsoft Fabric support machine
learning and data science?

• AnswerMicrosoft Fabric supports machine
  learning and data science through its Synapse
  Data Science component. This component provides a
  collaborative environment for data scientists to
  build, train, and deploy machine learning models.
  It integrates with Azure Machine Learning,
  allowing users to access pre-built models,
  utilize automated machine learning (AutoML), and
  scale model training across distributed
  resources. The platform also supports popular
  data science languages and frameworks, such as
  Python, R, TensorFlow, and PyTorch, offering
  flexibility for various data science projects.

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6. What are the data security features in
Microsoft Fabric?

• AnswerMicrosoft Fabric offers robust security
  features to protect data, including
• Role-Based Access Control (RBAC) Ensures that
  only authorized users have access to specific
  data and functionalities.
• Data Encryption Uses Azure's encryption
  standards to secure data at rest and in transit.
• Compliance Adheres to industry standards and
  regulations, such as GDPR and HIPAA, ensuring
  compliance for sensitive data.
• Data Masking Provides data masking techniques to
  protect sensitive information from unauthorized
  access.
• Monitoring and Auditing Offers tools for
  monitoring user activities and auditing data
  access, enhancing security visibility.

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7. How do you manage data pipelines in Microsoft
Fabric?

• AnswerData pipelines in Microsoft Fabric are
  managed using the Data Factory component. It
  allows users to create, schedule, and monitor
  data workflows through a visual interface. Users
  can define data sources, transformation
  activities, and destinations within the pipeline.
  The platform supports both batch and real-time
  data processing, enabling efficient data movement
  and transformation. Integration with other Fabric
  components ensures seamless data flow across the
  analytics ecosystem.

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7. How do you manage data pipelines in Microsoft
Fabric?

• AnswerData pipelines in Microsoft Fabric are
  managed using the Data Factory component. It
  allows users to create, schedule, and monitor
  data workflows through a visual interface. Users
  can define data sources, transformation
  activities, and destinations within the pipeline.
  The platform supports both batch and real-time
  data processing, enabling efficient data movement
  and transformation. Integration with other Fabric
  components ensures seamless data flow across the
  analytics ecosystem.

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CONTACT
For More Information About Microsoft Fabric
Online Training Address- Flat no 205, 2nd Floor

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Block, Aditya Enclave,
Ameerpet, Hyderabad-16 Ph No
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E-Mail online_at_visualpath.in
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