This Quiz contains totally 25 Questions each carry 1 point for you.
1.What is Azure Data Factory primarily used for?
Data storage
Data processing
Data integration
Data visualization
Correct!
Wrong!
2.Which of the following is not a Data Factory activity?
Copy activity
Data flow activity
Mapping data flow activity
Merge activity
Correct!
Wrong!
3.How does Data Factory manage data movement?
By using data movement activities
By using data flow activities
By using mapping data flow activities
By using integration runtime
Correct!
Wrong!
4.Which Data Factory feature allows you to monitor pipeline runs and activity runs?
Metrics
Alerts
Monitoring & Management App
Log Analytics
Correct!
Wrong!
5.What is a best practice when designing Data Factory pipelines?
Use a single pipeline for all activities
Use a single activity per pipeline
Use a single dataset for all activities
Use a single linked service for all activities
Correct!
Wrong!
6.In Data Factory, what are the reusable components that define the input and output data for activities?
Pipelines
Datasets
Activities
Linked services
Correct!
Wrong!
7.Which of the following is not a type of Integration Runtime in Azure Data Factory?
Azure Integration Runtime
Self-hosted Integration Runtime
On-premises Data Gateway
Managed Private Endpoint
Correct!
Wrong!
8.What is the purpose of the Data Flow activity in Azure Data Factory?
To move data between data stores
To execute data transformation logic
To map columns between source and destination data stores
To orchestrate data movement and data transformation activities
Correct!
Wrong!
9.In which JSON file can you find the definition of a Data Factory pipeline?
pipeline.json
dataset.json
activity.json
linkedService.json
Correct!
Wrong!
10.How can you schedule a Data Factory pipeline to run on a specific interval?
Using a tumbling window trigger
Using an event-based trigger
Using a schedule trigger
Using a time-based trigger
Correct!
Wrong!
11.What is the purpose of the Mapping Data Flow activity in Azure Data Factory?
To move data between data stores
To execute data transformation logic
To map columns between source and destination data stores
To orchestrate data movement and data transformation activities
Correct!
Wrong!
12.Which of the following is not a built-in data movement connector in Data Factory?
Azure Blob Storage
Azure SQL Database
Azure Table Storage
Azure Cosmos DB
Correct!
Wrong!
13.What is the main difference between Data Flow and Mapping Data Flow activities?
Data Flow activities are for data movement, while Mapping Data Flow activities are for data transformation
Data Flow activities are for data transformation, while Mapping Data Flow activities are for data movement
Data Flow activities are for data transformation, while Mapping Data Flow activities are for mapping columns between data stores
Data Flow activities are for mapping columns between data stores, while Mapping Data Flow activities are for data transformation
Correct!
Wrong!
14.In Data Factory, what are the components that define the connection information to data stores?
Pipelines
Datasets
Activities
Linked services
Correct!
Wrong!
15.How can you create a Data Factory pipeline?
By using the Azure portal
By using the Data Factory SDK
By using an ARM template
All of the above
Correct!
Wrong!
16.What is the purpose of the Copy activity in Data Factory?
To move data between data stores
To execute data transformation logic
To map columns between source and destination data stores
To orchestrate data movement and data transformation activities
Correct!
Wrong!
17.What is a best practice when designing Data Factory datasets?
Use a single dataset for all activities
Use one dataset per data store
Use one dataset per table or file
Use a single dataset for all pipelines
Correct!
Wrong!
18.How can you troubleshoot Data Factory pipeline issues?
Using the Monitoring & Management App
Examining activity logs
Reviewing error messages in activity runs
All of the above
Correct!
Wrong!
19.What is the main advantage of using Self-hosted Integration Runtime in Data Factory?
It provides better security for data movement
It enables data movement and processing across private networks
It improves performance by processing data in-memory
It allows for data processing in the cloud
Correct!
Wrong!
20.What is a best practice for securing sensitive data in Data Factory?
Store sensitive data in plain text
Use Secure Sockets Layer (SSL) for data movement
Use Azure Private Link for accessing Data Factory
Both b) and c)
Correct!
Wrong!
21.Which of the following is not a Data Factory use case?
Data ingestion
Data transformation
Data storage
Data orchestration
Correct!
Wrong!
22.How can you parameterize Data Factory pipelines?
Using expressions
Using variables
Using system variables
Using pipeline parameters
Correct!
Wrong!
23.Which of the following is not a built-in data transformation connector in Data Factory?
Azure Machine Learning
Azure Functions
Azure Cognitive Services
Azure Data Lake Storage
Correct!
Wrong!
24.What is the purpose of triggers in Data Factory?
To create pipelines
To define datasets
To execute pipelines based on a specific condition or schedule
To define the connection information to data stores
Correct!
Wrong!
25.Which of the following is a best practice when monitoring Data Factory pipelines?
Check pipeline runs and activity runs regularly
Set up alerts for pipeline failures and long-running activities
Use log analytics for advanced monitoring and troubleshooting
All of the above
Correct!
Wrong!
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Azure Data Engineering Data Factory – Quiz
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