- A
Azure Data Explorer
Correct. Azure Data Explorer is built for real-time analytics on streaming data, with sub-second query performance and native Kusto Query Language support for interactive exploration.
- B
Azure Synapse Analytics
Why wrong: Incorrect. Azure Synapse Analytics is a unified analytics service that excels at large-scale SQL queries, but it is not optimized for streaming ingestion and does not use the Kusto query language.
- C
Azure Stream Analytics
Why wrong: Incorrect. Azure Stream Analytics is a real-time stream processing service, but it does not store data for interactive historical queries; it outputs to a separate store.
- D
Azure Analysis Services
Why wrong: Incorrect. Azure Analysis Services provides business analytics models that aggregate data from existing sources; it is not designed for direct streaming ingestion or real-time queries on raw data.
Quick Answer
The answer is Azure Data Explorer. This service is the correct choice because it is purpose-built for high-velocity telemetry data like call detail records, enabling real-time and historical analytics with Azure Data Explorer and KQL through sub-second query latency on continuous data streams. On the Microsoft Azure Data Fundamentals DP-900 exam, this question tests your ability to distinguish between services optimized for interactive, ad-hoc queries over large time windows versus batch-oriented solutions like Azure Synapse or Azure Stream Analytics. A common trap is choosing Azure Stream Analytics for the real-time ingestion, but that service lacks the native Kusto Query Language for historical ad-hoc analysis over 90 days of data. Remember the key differentiator: Azure Data Explorer is the only service that combines real-time streaming ingestion with KQL’s powerful, index-free querying for both live fraud detection and deep historical exploration. Memory tip: think “KQL = Kusto Query Language, and only Azure Data Explorer speaks it natively.”
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 telecommunications company needs to analyze call detail records (CDRs) to detect fraud patterns and minimize revenue leakage. The data arrives as a continuous stream from network switches and must be queried within seconds of ingestion to flag suspicious activity. The analysts also need to run interactive ad-hoc queries over the last 90 days of CDR data using a Kusto query language. Which Azure service should they use as the primary data store and analytics engine?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"primary"Why it matters: Asks for the main purpose or function, not a secondary benefit. Eliminate answers that describe side-effects or partial functions.
Clue:
"minimum / minimize"Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
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 Data Explorer
Azure Data Explorer is optimized for high-velocity telemetry data like CDRs, supporting ingestion of continuous streams with sub-second query latency. Its native Kusto Query Language (KQL) enables both real-time fraud detection and interactive ad-hoc queries over large time windows (e.g., 90 days) without pre-aggregation or indexing overhead.
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 Data Explorer
Why this is correct
Correct. Azure Data Explorer is built for real-time analytics on streaming data, with sub-second query performance and native Kusto Query Language support for interactive exploration.
Clue confirmation
The clue words "primary", "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Azure Synapse Analytics
Why it's wrong here
Incorrect. Azure Synapse Analytics is a unified analytics service that excels at large-scale SQL queries, but it is not optimized for streaming ingestion and does not use the Kusto query language.
- ✗
Azure Stream Analytics
Why it's wrong here
Incorrect. Azure Stream Analytics is a real-time stream processing service, but it does not store data for interactive historical queries; it outputs to a separate store.
- ✗
Azure Analysis Services
Why it's wrong here
Incorrect. Azure Analysis Services provides business analytics models that aggregate data from existing sources; it is not designed for direct streaming ingestion or real-time queries on raw data.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse Azure Stream Analytics (real-time processing) with Azure Data Explorer (real-time analytics), failing to recognize that Stream Analytics lacks a native query language for interactive ad-hoc exploration over historical data.
Trap categories for this question
Command / output trap
Incorrect. Azure Stream Analytics is a real-time stream processing service, but it does not store data for interactive historical queries; it outputs to a separate store.
Detailed technical explanation
How to think about this question
Azure Data Explorer uses a columnar storage engine with a distributed hash-based sharding mechanism that allows data to be ingested in near real-time via Event Hubs or IoT Hubs, and automatically indexes data upon ingestion for fast retrieval. Its KQL supports time-series operators like `bin()` and `summarize` that enable analysts to detect fraud patterns such as call spikes or unusual duration anomalies within seconds of data arrival.
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 healthcare organisation deploys an application with a public-facing web tier and a private database tier. The database subnet has no public IP and only accepts connections from the web tier's security group. Questions like this test whether you can design cloud network isolation using VNets/VPCs, subnets, and security group rules.
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 Data Explorer — Azure Data Explorer is optimized for high-velocity telemetry data like CDRs, supporting ingestion of continuous streams with sub-second query latency. Its native Kusto Query Language (KQL) enables both real-time fraud detection and interactive ad-hoc queries over large time windows (e.g., 90 days) without pre-aggregation or indexing overhead.
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: "primary", "minimum / minimize". Asks for the main purpose or function, not a secondary benefit. Eliminate answers that describe side-effects or partial functions.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Same concept, more angles
1 more ways this is tested on DP-900
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A retail company needs to analyze clickstream data from their website in real time to detect fraudulent activity and also run complex historical queries on months of data to identify shopping trends. They want a single service that can handle both streaming and batch analytics using a unified query language, minimizing data movement. Which Azure service should they use?
medium- A.Azure Stream Analytics
- B.Azure Synapse Analytics
- C.Azure HDInsight
- ✓ D.Azure Data Explorer
Why D: Azure Data Explorer (ADX) is designed for real-time analytics on streaming data and can also handle complex historical queries over large volumes of data using the Kusto Query Language (KQL). It minimizes data movement by ingesting streaming data directly and storing it in a columnar format optimized for both real-time and batch queries, making it the ideal single service for this scenario.
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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