Azure Data Factory (ADF) is a powerful cloud-based data integration service offered by Microsoft Azure. It allows businesses to create, schedule, and orchestrate data workflows to move and transform data at scale. Whether you are a beginner or an expert, understanding the key concepts and functionalities of ADF is crucial for working with modern data pipelines.
To help you solidify your knowledge, we have compiled over 300 Azure Data Factory MCQs Question sets covering a wide range of topics, from the basics of ADF architecture to advanced features like data transformations, monitoring, and optimization. These questions are designed to enhance your understanding and prepare you for certifications, interviews, or practical applications.
This collection of Azure Data Factory MCQs Question covers various difficulty levels, starting from foundational concepts such as pipelines and datasets to complex topics like integrating with multiple data sources and optimizing performance. Each question is paired with a correct answer to provide clarity and assist in learning. So, dive in and test your expertise in Azure Data Factory!
10 Sample MCQs on Azure Data Factory
1. What is the primary purpose of Azure Data Factory?
a) Data analysis
b) Data integration and workflow automation
c) Machine learning model training
d) Web application hosting
Answer: b
2. Which component in ADF defines the data source and destination?
a) Pipeline
b) Dataset
c) Linked Service
d) Trigger
Answer: c
3. What is used to schedule and automate pipelines in ADF?
a) Activities
b) Triggers
c) Datasets
d) Integration Runtimes
Answer: b
4. What does an Integration Runtime (IR) in ADF do?
a) Manages data encryption
b) Hosts and executes data integration workflows
c) Provides logging and monitoring
d) Schedules data pipelines
Answer: b
5. Which activity in ADF is used for data movement?
a) Lookup Activity
b) Copy Activity
c) Filter Activity
d) Join Activity
Answer: b
6. What is the maximum number of triggers a pipeline can have?
a) One
b) Two
c) Unlimited
d) Five
Answer: c
7. What is the purpose of a Dataset in ADF?
a) To store data
b) To define the schema and location of data
c) To create pipelines
d) To encrypt data
Answer: b
8. How does ADF ensure secure connection to a data source?
a) Using API keys
b) Through Linked Services and Azure Key Vault integration
c) By enabling HTTPS
d) Using encryption algorithms
Answer: b
9. Which activity is used to transform data in ADF?
a) Copy Activity
b) Mapping Data Flow Activity
c) Lookup Activity
d) Trigger Activity
Answer: b
10. What type of storage is commonly used for staging in ADF?
a) Azure Blob Storage
b) Azure File Storage
c) Azure Cosmos DB
d) Azure Table Storage
Answer: a