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Azure Data Factory

Azure Data Factory

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Azure Data Factory Exam

Azure Data Factory is a cloud service designed to move and transform data from multiple places into a single, organized system. Imagine it as a data bridge that connects various applications and databases, ensuring information flows smoothly and reliably. This tool is widely used to make data ready for analytics, dashboards, and decision-making.

The certification trains you to design, automate, and monitor data workflows within Azure. You’ll learn how to combine structured and unstructured data, apply transformations, and prepare it for business intelligence. With these skills, professionals enable companies to handle large-scale data needs and improve data-driven strategies.


Who should take the Exam?

This exam is ideal for:

  • Data Engineers 
  • ETL Developers 
  • Cloud Engineers 
  • Data Analysts 
  • BI Developers 
  • IT Professionals 

Skills Required

  • Basic understanding of cloud computing
  • Knowledge of databases (SQL/NoSQL)
  • Knowledge of ETL (Extract, Transform, Load) concepts
  • Awareness of data security and compliance
  • Problem-solving and logical workflow design


Course Outline

  • Domain 1 - Introduction to Azure Data Factory
  • Domain 2 - Core Concepts and Architecture
  • Domain 3 - Data Ingestion & Integration
  • Domain 4 - Data Transformation
  • Domain 5 - Scheduling & Automation
  • Domain 6 - Security & Compliance
  • Domain 7 - Monitoring & Optimization
  • Domain 8 - Real-World Applications

Key Features

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Azure Data Factory FAQs

Absolutely, as clean, reliable data is essential for BI solutions.

Azure Synapse, Databricks, SQL Database, Storage, and Power BI.

Yes, it can connect both on-premises and cloud data sources.

Data engineers, analysts, and cloud professionals working with data workflows.

Basic Azure knowledge helps but the course also covers fundamentals.

Finance, healthcare, retail, logistics, and technology-driven enterprises.

To move, transform, and organize data for analysis and reporting.

Minimal coding is required, but SQL and some scripting knowledge is useful.

It’s cloud-based, more scalable, and integrates with Azure’s ecosystem.

Yes, it supports multiple data types from different sources.