Question 842 of 982

Describe an analytics workload on Azure →mediumMultiple ChoiceObjective-mapped

Quick Answer

Azure Event Hubs Capture is the correct choice because it automatically writes streaming data from Event Hubs to Azure Data Lake Storage Gen2 in near real-time without requiring any custom code. This feature works by buffering the incoming stream and periodically writing it as Avro files directly to the specified storage destination, handling the entire write operation natively within the Event Hubs service. On the DP-900 exam, this scenario tests your understanding of Azure’s managed data ingestion services and the distinction between code-free automation versus custom processing with Azure Functions or Stream Analytics. A common trap is confusing Event Hubs Capture with Stream Analytics, but remember that Capture is purely for landing raw data without transformation, while Stream Analytics requires a query job. For the memory tip, think “Capture and Store” — Event Hubs Capture grabs the stream and stores it automatically, no code required.

DP-900 Describe an analytics workload on Azure Practice Question

This DP-900 practice question tests your understanding of describe an analytics workload on azure. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

A manufacturing company collects temperature and vibration data from thousands of sensors. The data is streamed to Azure Event Hubs. The company wants to store all this raw data in Azure Data Lake Storage Gen2 for future batch analytics. They need a solution that automatically writes the streaming data to the data lake in near real-time, without requiring any custom code for the write operation. Which Azure feature should they use?

Question 1mediummultiple choice

Full question →

A
Azure Stream Analytics job output to Azure Data Lake Storage Gen2
Why wrong: While Stream Analytics can write to ADLS Gen2, it requires defining a streaming job and is not an automatic feature of Event Hubs itself.
B
Azure Event Hubs Capture
Event Hubs Capture automatically captures streaming data into Azure Blob Storage or Azure Data Lake Storage Gen2 without any custom code. It writes data in Avro format and is ideal for long-term storage and batch analytics.
C
Azure Data Factory Copy Activity
Why wrong: Data Factory Copy Activity is a scheduled data movement tool, not a real-time automatic capture mechanism. It requires an orchestration trigger and is not directly integrated with Event Hubs for continuous capture.
D
Azure Synapse Pipelines
Why wrong: Synapse Pipelines are similar to Data Factory and are used for orchestrating data movement and transformation on a schedule, not for automatic real-time capture from Event Hubs.

Full breakdown with real-world context →

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

✓

Azure Event Hubs Capture

Azure Event Hubs Capture is the correct choice because it automatically writes streaming data from Event Hubs to Azure Data Lake Storage Gen2 in near real-time without requiring any custom code. It integrates directly with Event Hubs to buffer and write data in Avro format, meeting the requirement for a no-code, automated solution.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

✗
Azure Stream Analytics job output to Azure Data Lake Storage Gen2
Why it's wrong here
While Stream Analytics can write to ADLS Gen2, it requires defining a streaming job and is not an automatic feature of Event Hubs itself.
✓
Azure Event Hubs Capture
Why this is correct
Event Hubs Capture automatically captures streaming data into Azure Blob Storage or Azure Data Lake Storage Gen2 without any custom code. It writes data in Avro format and is ideal for long-term storage and batch analytics.
Related concept
Read the scenario before looking for a memorised answer.
✗
Azure Data Factory Copy Activity
Why it's wrong here
Data Factory Copy Activity is a scheduled data movement tool, not a real-time automatic capture mechanism. It requires an orchestration trigger and is not directly integrated with Event Hubs for continuous capture.
✗
Azure Synapse Pipelines
Why it's wrong here
Synapse Pipelines are similar to Data Factory and are used for orchestrating data movement and transformation on a schedule, not for automatic real-time capture from Event Hubs.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often confuse Azure Stream Analytics as the only way to output Event Hubs data to storage, overlooking Event Hubs Capture which provides a simpler, code-free alternative for raw data persistence.

Trap categories for this question

Similar concept trap
Synapse Pipelines are similar to Data Factory and are used for orchestrating data movement and transformation on a schedule, not for automatic real-time capture from Event Hubs.

Detailed technical explanation

How to think about this question

Event Hubs Capture works by buffering streaming data for a configurable time window (e.g., 1-15 minutes) or size threshold (e.g., 100 MB-1 GB), then writing the data as Avro files to a specified container in Azure Data Lake Storage Gen2. This feature uses the Event Hubs service-side logic to partition data by Event Hubs partition and timestamp, enabling downstream batch analytics without any custom code or additional compute resources.

KKey Concepts to Remember

Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.

TExam Day Tips

Watch for words such as best, first, most likely and least administrative effort.
Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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FAQ

Questions learners often ask

What does this DP-900 question test?

Describe an analytics workload on Azure — This question tests Describe an analytics workload on Azure — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Azure Event Hubs Capture — Azure Event Hubs Capture is the correct choice because it automatically writes streaming data from Event Hubs to Azure Data Lake Storage Gen2 in near real-time without requiring any custom code. It integrates directly with Event Hubs to buffer and write data in Avro format, meeting the requirement for a no-code, automated solution.

What should I do if I get this DP-900 question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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