Question 1

1. What is Azure Data Factory primarily used for?

Accepted Answer

Data integration and workflow orchestration.

Answer

Data visualization.

Answer

Database management.

Answer

Machine learning modeling.

Question 2

2. Which activity in Azure Data Factory is used to copy data from one source to another?

Accepted Answer

Copy Activity.

Answer

Data Flow Activity.

Answer

ForEach Activity.

Answer

Lookup Activity.

Question 3

3. What is the purpose of the Mapping Data Flow in Azure Data Factory?

Accepted Answer

To transform data at scale.

Answer

To store data.

Answer

To schedule triggers.

Answer

To monitor data pipelines.

Question 4

4. How can you schedule a pipeline to run at specific times using Azure Data Factory?

Accepted Answer

Using Triggers.

Answer

Using Stored Procedures.

Answer

Using Data Flows.

Answer

Using Alerts.

Question 5

5. What is the primary storage service used by Azure Data Factory for staging data?

Accepted Answer

Azure Blob Storage.

Answer

Azure SQL Database.

Answer

Azure Cosmos DB.

Answer

Azure Table Storage.

Question 6

6. What Azure service is used to automate data movement and data transformation?

Accepted Answer

Azure Data Factory.

Answer

Azure DevOps.

Answer

Azure Kubernetes Service.

Answer

Azure Logic Apps.

Question 7

7. In Azure Data Factory, what does the Integration Runtime (IR) do?

Accepted Answer

Provides compute resources for data movement and transformation.

Answer

Manages database connections.

Answer

Stores metadata about data sources.

Answer

Provides networking capabilities.

Question 8

8. How can incremental data loading be achieved in Azure Data Factory?

Accepted Answer

By using the Watermark method.

Answer

By manual triggering only.

Answer

By full refresh each time.

Answer

By using stored procedures only.

Question 9

9. What Azure Data Factory component is essential for connecting to different data stores?

Accepted Answer

Linked Services.

Answer

Datasets.

Answer

Gateways.

Answer

Pipelines.

Question 10

10. Which of these is NOT a type of trigger in Azure Data Factory?

Accepted Answer

SQL Trigger.

Answer

Schedule Trigger.

Answer

Event-based Trigger.

Answer

Tumbling Window Trigger.

Question 11

11. What is the role of Azure Data Lake in a data engineering solution with Azure Data Factory?

Accepted Answer

A scalable data storage and analytics service.

Answer

A database management service.

Answer

A real-time data streaming service.

Answer

A data backup service.

Question 12

12. What type of processing does Mapping Data Flow in Azure Data Factory support?

Accepted Answer

Both batch and stream processing.

Answer

Only stream processing.

Answer

Only real-time processing.

Answer

Only batch processing.

Question 13

13. Which activity in Azure Data Factory would you use to execute SQL queries?

Accepted Answer

Stored Procedure Activity.

Answer

If Condition Activity.

Answer

Web Activity.

Answer

Expression Activity.

Question 14

14. Which processing model is typically used for processing streams of data in real-time?

Accepted Answer

Stream processing.

Answer

Batch processing.

Answer

Transactional processing.

Answer

Hybrid processing.

Question 15

15. What is a data lake primarily used for?

Accepted Answer

Storing unstructured and structured data at scale.

Answer

Storing structured data only.

Answer

Managing relational database management systems.

Answer

Performing data analytics exclusively.

Question 16

16. In data engineering, what is 'data lineage'?

Accepted Answer

Tracking the source and transformations of data.

Answer

The backup procedures for data.

Answer

The physical storage location of data.

Answer

The encryption of data during transfers.

Question 17

17. What type of database is best suited for handling large volumes of write-heavy operations?

Accepted Answer

NoSQL database.

Answer

Desktop database.

Answer

Traditional SQL database.

Answer

Distributed database.

Question 18

18. What is a common tool used for orchestrating data workflows in the cloud?

Accepted Answer

Apache Airflow.

Answer

Adobe Photoshop.

Answer

Microsoft Excel.

Answer

Oracle DBMS.

Question 19

19. Which concept describes the integrity and consistency of data across a dataset?

Accepted Answer

Data Quality.

Answer

Data Quantity.

Answer

Data Type.

Answer

Data Speed.

Question 20

20. What is an ETL process in data engineering?

Accepted Answer

Extract, Transform, Load – processing data for storage and analysis.

Answer

Evaluate, Test, Launch – a quality assurance process.

Answer

Encrypt, Transmit, Lock – a data security procedure.

Answer

Enter, Transfer, Launch – a method of software deployment.

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