Practice Questions
Question 1
What is the primary purpose of data ingestion?
A. To visualize data
B. To store data permanently
C. To collect and import data into a system
D. To delete outdated data
✅ Answer: C
Explanation:
Data ingestion is the process of bringing data into a storage or analytics system.
Question 2
Which type of ingestion processes data at scheduled intervals?
A. Stream ingestion
B. Batch ingestion
C. Real-time ingestion
D. Event-driven ingestion
✅ Answer: B
Explanation:
Batch ingestion processes data periodically, not continuously.
Question 3
Which Azure service is commonly used for batch data ingestion?
A. Azure Event Hubs
B. Azure Data Factory
C. Azure Stream Analytics
D. Azure Virtual Machines
✅ Answer: B
Explanation:
Azure Data Factory is designed for batch ETL/ELT workflows.
Question 4
Which scenario requires stream (real-time) ingestion?
A. Monthly sales reporting
B. Archiving old data
C. Monitoring live sensor data from IoT devices
D. Migrating historical records
✅ Answer: C
Explanation:
Streaming ingestion is used for continuous, real-time data like IoT.
Question 5
What is the primary benefit of stream processing?
A. Lower cost
B. Simpler architecture
C. Real-time insights
D. Reduced storage requirements
✅ Answer: C
Explanation:
Stream processing enables low-latency, real-time analysis.
Question 6
Which Azure service is used for real-time data ingestion at scale?
A. Azure Synapse Analytics
B. Azure Blob Storage
C. Azure Event Hubs
D. Azure Files
✅ Answer: C
Explanation:
Azure Event Hubs is designed for high-throughput streaming ingestion.
Question 7
Which type of processing is BEST suited for historical data analysis?
A. Stream processing
B. Batch processing
C. Real-time processing
D. Event-driven processing
✅ Answer: B
Explanation:
Batch processing is ideal for large, historical datasets.
Question 8
Which factor is MOST important when choosing between batch and stream processing?
A. File format
B. Latency requirements
C. Storage account type
D. Programming language
✅ Answer: B
Explanation:
The key decision is how quickly the data needs to be processed.
Question 9
Which Azure service is used to process streaming data in real time?
A. Azure Data Factory
B. Azure Stream Analytics
C. Azure SQL Database
D. Azure Files
✅ Answer: B
Explanation:
Azure Stream Analytics processes real-time streaming data.
Question 10
Which of the following is a key consideration when designing a data ingestion pipeline?
A. Screen resolution
B. Latency, scalability, and data volume
C. Programming language syntax
D. User interface design
✅ Answer: B
Explanation:
Important considerations include latency, scalability, volume, and data quality.
✅ Quick Exam Takeaways
✔ Data ingestion = bringing data into the system
✔ Data processing = transforming data for analysis
✔ Two main approaches:
- Batch → scheduled, high latency
- Streaming → continuous, low latency
✔ Key Azure services:
- Azure Data Factory → batch ingestion
- Azure Event Hubs → streaming ingestion
- Azure Stream Analytics → real-time processing
- Azure Synapse Analytics → batch processing
✔ Key decision factor:
👉 Do you need real-time insights or not?
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