The answer is Azure Data Explorer, as it is the only Azure data store purpose-built for ingesting and querying high-velocity time-series telemetry data. Azure Data Explorer (ADX) uses a columnar storage engine and automatic indexing on time and device ID, enabling fast aggregations and range scans across millions of records without pre-defining schemas. On the DP-900 exam, this scenario tests your understanding of workload-specific data stores: Azure Cosmos DB is a common distractor because it handles real-time writes, but it lacks ADX’s native time-series analytics and compression. A typical trap is choosing Azure SQL Database for its relational familiarity, but it struggles with the scale and append-only pattern of telemetry. Remember the mnemonic “ADX for ADX” — Azure Data Explorer for Analytics on Data eXploration — and that time-series telemetry always points to ADX, not to general-purpose databases or messaging queues.
DP-900 Practice Question: Describe considerations for working with non-relational data on Azure
This DP-900 practice question tests your understanding of describe considerations for working with non-relational data 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.
You need to store telemetry data from millions of devices. Each record includes a device ID, timestamp, and metric value. The data will be queried by device ID and time range. Which Azure data store is best suited for this scenario?
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 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 (ADX) is optimized for time-series data and can ingest high volumes of telemetry, with fast queries on time ranges and device IDs. Azure Cosmos DB is good for real-time apps but less efficient for large-scale time-series analytics. Azure SQL Database is relational and may not scale as well. Azure Storage Queues are for messaging, not storage/query.
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
ADX is built for high-performance time-series data ingestion and querying, making it ideal for telemetry.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Azure SQL Database
Why it's wrong here
Azure SQL can store telemetry but may struggle with the scale and query patterns typical of time-series data.
✗
Azure Storage Queues
Why it's wrong here
Storage Queues are for message passing, not persistent storage or querying of telemetry data.
✗
Azure Cosmos DB
Why it's wrong here
Cosmos DB can handle IoT data but is more expensive and less optimized for time-series analytics than ADX.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
Use explanations to understand the rule behind the answer.
TExam Day Tips
→Underline the problem statement mentally.
→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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this DP-900 question in full detail.
Identify which DP-900 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Describe considerations for working with non-relational data on Azure — This question tests Describe considerations for working with non-relational data 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 (ADX) is optimized for time-series data and can ingest high volumes of telemetry, with fast queries on time ranges and device IDs. Azure Cosmos DB is good for real-time apps but less efficient for large-scale time-series analytics. Azure SQL Database is relational and may not scale as well. Azure Storage Queues are for messaging, not storage/query.
What should I do if I get this DP-900 question wrong?
Identify which DP-900 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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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