- A
A. Transactional workload
Why wrong: Transactional workloads involve OLTP systems where individual records are inserted, updated, or deleted in real time with strict consistency. While the sensor data is ingested in real time, the primary purpose is monitoring and alerting, not transactional updates that require ACID guarantees across multiple related tables.
- B
B. Analytical workload
Why wrong: Analytical workloads typically involve querying and aggregating large volumes of historical data to support business intelligence or reporting. The sensor data here is used for real-time monitoring rather than historical analysis, so this does not fit an analytical workload.
- C
C. Batch processing
Why wrong: Batch processing involves processing data in discrete chunks or batches at scheduled intervals. The sensor data is ingested continuously and processed immediately, so it does not match the batch processing pattern.
- D
D. Real-time streaming
Real-time streaming workloads handle continuous data flows that are processed as soon as they arrive, often with low latency requirements. The hospital's IoT sensors generate data every minute that must be acted on promptly, making this a clear example of a real-time streaming workload.
DP-900 Describe core data concepts Practice Question
This DP-900 practice question tests your understanding of describe core data concepts. 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 hospital collects patient vital signs every minute using IoT sensors. Each reading contains a timestamp, patient ID, heart rate, blood pressure, and temperature. This data is ingested continuously for real-time monitoring and alerting. Which type of data workload does this scenario best represent?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"best"Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
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
D. Real-time streaming
This scenario requires continuous ingestion of sensor data with immediate processing for real-time monitoring and alerting. Real-time streaming workloads, such as those handled by Azure Stream Analytics or Apache Kafka, are designed to process unbounded data streams with low latency, making option D correct.
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.
- ✗
A. Transactional workload
Why it's wrong here
Transactional workloads involve OLTP systems where individual records are inserted, updated, or deleted in real time with strict consistency. While the sensor data is ingested in real time, the primary purpose is monitoring and alerting, not transactional updates that require ACID guarantees across multiple related tables.
- ✗
B. Analytical workload
Why it's wrong here
Analytical workloads typically involve querying and aggregating large volumes of historical data to support business intelligence or reporting. The sensor data here is used for real-time monitoring rather than historical analysis, so this does not fit an analytical workload.
- ✗
C. Batch processing
Why it's wrong here
Batch processing involves processing data in discrete chunks or batches at scheduled intervals. The sensor data is ingested continuously and processed immediately, so it does not match the batch processing pattern.
- ✓
D. Real-time streaming
Why this is correct
Real-time streaming workloads handle continuous data flows that are processed as soon as they arrive, often with low latency requirements. The hospital's IoT sensors generate data every minute that must be acted on promptly, making this a clear example of a real-time streaming workload.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is confusing 'real-time streaming' with 'analytical workload' because both involve data processing, but analytical workloads are designed for historical analysis and reporting, not for sub-second alerting on live data streams.
Detailed technical explanation
How to think about this question
Real-time streaming architectures often use event processing engines like Azure Stream Analytics, which applies temporal windows (e.g., tumbling, hopping, or sliding windows) to detect patterns such as a heart rate exceeding a threshold for 30 seconds. Under the hood, these systems maintain in-memory state and checkpoint offsets to ensure exactly-once or at-least-once processing semantics, critical for clinical alerting where missed events could be life-threatening.
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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
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 core data concepts — This question tests Describe core data concepts — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: D. Real-time streaming — This scenario requires continuous ingestion of sensor data with immediate processing for real-time monitoring and alerting. Real-time streaming workloads, such as those handled by Azure Stream Analytics or Apache Kafka, are designed to process unbounded data streams with low latency, making option D correct.
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.
Are there clue words in this question I should notice?
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 11, 2026
This DP-900 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DP-900 exam.
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