The correct combination is Azure Event Hubs, Azure Stream Analytics, and Power BI. This works because Event Hubs ingests the high-velocity stream of tweets in real time, Stream Analytics applies sentiment analysis using its built-in machine learning functions—a true low-code approach that requires no custom coding—and Power BI delivers the immediate visualization dashboard. On the DP-900 exam, this scenario tests your understanding of how Azure’s serverless services integrate for real-time analytics pipelines, often appearing as a scenario where a team needs to process streaming data without writing code. A common trap is choosing Azure Logic Apps or Azure Functions for the analysis step, but remember that Stream Analytics natively supports pre-built sentiment scoring via its ML integration. Memory tip: think “Ingest, Analyze, Visualize”—Event Hubs ingests, Stream Analytics analyzes, Power BI visualizes.
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 marketing team needs to analyze customer sentiment from social media posts in real time. The solution must ingest a stream of tweets, perform sentiment analysis using a pre-built AI model, and store the results in a dashboard for immediate visualization. The team has limited coding experience and prefers a low-code/no-code approach. Which combination of Azure services should you recommend?
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, Azure Stream Analytics, and Power BI
Option C is correct because Azure Event Hubs ingests the real-time tweet stream, Azure Stream Analytics performs sentiment analysis using its built-in machine learning functions (a low-code/no-code approach), and Power BI provides the dashboard for immediate visualization. This combination meets the real-time, low-code requirement without custom coding.
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 Event Hubs, Azure Functions, and Azure Cosmos DB
Why it's wrong here
Requires coding for sentiment analysis; Cosmos DB not a dashboard.
✗
Azure IoT Hub, Azure Data Factory, and Power BI
Why it's wrong here
Data Factory is batch; IoT Hub is for IoT devices.
✓
Azure Event Hubs, Azure Stream Analytics, and Power BI
Why this is correct
Low-code real-time analytics with built-in sentiment analysis and Power BI dashboard.
Related concept
Read the scenario before looking for a memorised answer.
✗
Azure Event Hubs, Azure HDInsight, and Power BI
Why it's wrong here
HDInsight requires code and management overhead.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may choose Azure Functions (Option A) thinking it's serverless and low-code, but it actually requires writing code for sentiment analysis, whereas Azure Stream Analytics provides a true low-code/no-code solution with built-in ML capabilities.
Detailed technical explanation
How to think about this question
Azure Stream Analytics can reference pre-trained sentiment analysis models via its built-in Machine Learning integration (e.g., using a UDF that calls an Azure ML endpoint) or use its native sentiment analysis function (preview). The service processes data in-memory with sub-second latency, outputting directly to Power BI via the Power BI output adapter, which refreshes the dashboard automatically. This architecture avoids the need for custom code or complex infrastructure management.
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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this DP-900 question in full detail.
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: Azure Event Hubs, Azure Stream Analytics, and Power BI — Option C is correct because Azure Event Hubs ingests the real-time tweet stream, Azure Stream Analytics performs sentiment analysis using its built-in machine learning functions (a low-code/no-code approach), and Power BI provides the dashboard for immediate visualization. This combination meets the real-time, low-code requirement without custom coding.
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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Question Discussion
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