Practice Questions

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Question 1

Which Azure service is primarily used for ingesting large volumes of streaming data?

A. Azure Data Factory
B. Azure Event Hubs
C. Azure SQL Database
D. Azure Files

✅ Answer: B

Explanation:
Azure Event Hubs is designed for high-throughput event ingestion in real time.

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Question 2

Which Azure service is specifically designed for ingesting data from IoT devices?

A. Azure Blob Storage
B. Azure IoT Hub
C. Azure Synapse Analytics
D. Azure Table Storage

✅ Answer: B

Explanation:
Azure IoT Hub enables secure communication with IoT devices and ingests telemetry data.

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Question 3

Which Azure service allows real-time data processing using a SQL-like query language?

A. Azure Databricks
B. Azure Data Factory
C. Azure Stream Analytics
D. Azure Virtual Machines

✅ Answer: C

Explanation:
Azure Stream Analytics processes streaming data using SQL-like queries.

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Question 4

Which service is BEST suited for advanced real-time analytics and machine learning on streaming data?

A. Azure Files
B. Azure Databricks
C. Azure Table Storage
D. Azure DNS

✅ Answer: B

Explanation:
Azure Databricks supports advanced analytics, Spark processing, and ML workflows.

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Question 5

Which service provides a unified analytics platform that includes real-time analytics capabilities?

A. Azure Virtual Machines
B. Azure Blob Storage
C. Microsoft Fabric
D. Azure Files

✅ Answer: C

Explanation:
Microsoft Fabric integrates real-time analytics, data engineering, and BI into one platform.

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Question 6

Which component of a real-time analytics solution is responsible for capturing incoming data?

A. Processing
B. Storage
C. Visualization
D. Ingestion

✅ Answer: D

Explanation:
The ingestion layer is responsible for capturing streaming data.

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Question 7

You need to process streaming data with minimal setup using SQL-like queries. Which service should you choose?

A. Azure Databricks
B. Azure Synapse Analytics
C. Azure Stream Analytics
D. Azure Data Factory

✅ Answer: C

Explanation:
Stream Analytics is ideal for simple, real-time processing with SQL syntax.

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Question 8

Which service is MOST appropriate for handling millions of streaming events per second?

A. Azure SQL Database
B. Azure Files
C. Azure Event Hubs
D. Azure Table Storage

✅ Answer: C

Explanation:
Event Hubs is built for high-throughput event ingestion at scale.

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Question 9

Which of the following describes a typical real-time analytics pipeline?

A. Storage → Visualization → Ingestion → Processing
B. Processing → Ingestion → Storage → Visualization
C. Ingestion → Processing → Storage → Visualization
D. Visualization → Storage → Processing → Ingestion

✅ Answer: C

Explanation:
The standard flow is:
Ingestion → Processing → Storage → Visualization

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Question 10

Which scenario BEST demonstrates a real-time analytics use case?

A. Generating a yearly financial report
B. Archiving historical data
C. Monitoring live sensor data and triggering alerts
D. Migrating legacy databases

✅ Answer: C

Explanation:
Real-time analytics is used for immediate insights and actions, such as alerts from live data.

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✅ Quick Exam Takeaways

✔ Real-time analytics = low-latency insights from streaming data

✔ Core services:

• Ingestion
  • Azure Event Hubs
  • Azure IoT Hub
• Processing
  • Azure Stream Analytics
  • Azure Databricks
• Platform
  • Microsoft Fabric

✔ Key roles:

• Event Hubs → ingestion
• Stream Analytics → real-time processing
• Databricks → advanced analytics
• Fabric → unified analytics platform

✔ Exam tip:
👉 Ingest streaming data → Event Hubs
👉 Process with SQL → Stream Analytics
👉 Advanced analytics → Databricks
👉 End-to-end solution → Fabric

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