Microsoft Fabric Training  | Microsoft Fabric Certification Course
                     Microsoft Fabric : Frequently 
Asked Interview Q&As
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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. www.visualpath.in
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. www.visualpath.in
4. Explain the role of Synapse Data Engineering in 
Microsoft Fabric.
Answer:
Synapse 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?
• Answer:
Microsoft 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?
• Answer:
Microsoft 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 awccwesws..visualpath.in
• Monitoring and Auditing: Offers tools for monitoring user 
activities and auditing data access, enhancing security visibility.
7. How do you manage data pipelines in Microsoft Fabric?
• Answer:
Data 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?
• Answer:
Data 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.
www.visualpath.in
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