- A
Azure Blob Storage with JSON logs
Why wrong: Blob Storage is suited for large unstructured blobs, not for efficient per‑record queries. Querying individual messages would require downloading and parsing entire blobs.
- B
Azure Queue Storage
Why wrong: Queue Storage is for temporary message passing, not for long‑term retention and querying. Messages have a maximum time‑to‑live and cannot be efficiently queried.
- C
Azure Table Storage
Table Storage is optimized for storing large numbers of structured entities. Using device ID as partition key and timestamp as row key allows efficient point queries and range queries, with low write latency and cost.
- D
Azure File Storage
Why wrong: File Storage provides SMB file shares and is not designed for high‑volume, structured data ingestion or querying.
Quick Answer
The answer is Azure Table Storage, because it is purpose-built for cost-effective ingestion and query of high-velocity IoT telemetry at scale. This NoSQL store handles billions of small messages (around 500 bytes each) with low write latency and no schema enforcement, making it ideal for sensor data. By designing the partition key as device ID and the row key as timestamp, you enable efficient point queries by device and time range, while Azure’s lifecycle management policies can automatically expire data after 90 days to minimize storage cost. On the AZ-204 exam, this scenario tests your understanding of choosing the right Azure data store for time-series telemetry—a common trap is reaching for Cosmos DB, which offers lower latency but at significantly higher cost for this volume. Remember the memory tip: “Partition by device, row by time—Table Storage is the telemetry line.”
AZ-204 Develop for Azure storage Practice Question
This AZ-204 practice question tests your understanding of develop for azure storage. 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 are designing a solution to ingest billions of small IoT sensor messages (each ~500 bytes). Messages arrive at high velocity and must be retained for 90 days. You need to query the data efficiently by device ID and timestamp. You want to minimize storage cost and write latency. Which Azure Storage solution should you use?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
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 Table Storage
Azure Table Storage is ideal for this scenario because it provides a cost-effective, schema-less NoSQL store that supports high-volume ingestion of billions of small messages with low write latency. Its partition key (device ID) and row key (timestamp) design enables efficient point queries by device and time range, while the 90-day retention aligns with Table Storage's lifecycle management capabilities.
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 Blob Storage with JSON logs
Why it's wrong here
Blob Storage is suited for large unstructured blobs, not for efficient per‑record queries. Querying individual messages would require downloading and parsing entire blobs.
- ✗
Azure Queue Storage
Why it's wrong here
Queue Storage is for temporary message passing, not for long‑term retention and querying. Messages have a maximum time‑to‑live and cannot be efficiently queried.
- ✓
Azure Table Storage
Why this is correct
Table Storage is optimized for storing large numbers of structured entities. Using device ID as partition key and timestamp as row key allows efficient point queries and range queries, with low write latency and cost.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Azure File Storage
Why it's wrong here
File Storage provides SMB file shares and is not designed for high‑volume, structured data ingestion or querying.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often choose Azure Blob Storage (Option A) because it's commonly used for log storage, but they overlook that querying billions of small blobs by device ID and timestamp is inefficient without additional indexing services like Azure Data Lake or Cosmos DB, whereas Table Storage provides native, low-latency querying via its composite key structure.
Detailed technical explanation
How to think about this question
Azure Table Storage uses a partition key (e.g., device ID) to distribute data across nodes for horizontal scaling, and a row key (e.g., inverted timestamp like 'DateTime.MaxValue.Ticks - timestamp.Ticks') to enable reverse-chronological range queries. The storage cost is roughly $0.045/GB/month for LRS, significantly cheaper than Blob Storage's $0.018/GB/month for hot tier, but Table Storage's per-transaction cost ($0.00036 per 100K transactions) is negligible for high-volume writes. A real-world scenario is an IoT hub storing telemetry where each device writes thousands of messages per second; Table Storage's partition key ensures writes are distributed, avoiding hot partitions.
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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
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.
- →
Develop for Azure storage — study guide chapter
Learn the concepts, then practise the questions
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Develop for Azure storage practice questions
Targeted practice on this topic area only
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Microsoft Azure Developer Associate AZ-204 study guide
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FAQ
Questions learners often ask
What does this AZ-204 question test?
Develop for Azure storage — This question tests Develop for Azure storage — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Azure Table Storage — Azure Table Storage is ideal for this scenario because it provides a cost-effective, schema-less NoSQL store that supports high-volume ingestion of billions of small messages with low write latency. Its partition key (device ID) and row key (timestamp) design enables efficient point queries by device and time range, while the 90-day retention aligns with Table Storage's lifecycle management capabilities.
What should I do if I get this AZ-204 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: "minimum / minimize". Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
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 AZ-204
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. Your IoT solution generates billions of small telemetry entries (each ~100 bytes). Data is written once and rarely updated. You need to run analytical queries on the last 30 days of data daily, scanning large ranges by timestamp, requiring sub-second response times. You want the lowest storage cost. Which Azure Storage solution should you use?
medium- A.Azure Blob Storage
- ✓ B.Azure Table Storage
- C.Azure Cosmos DB
- D.Azure Data Lake Storage
Why B: Azure Table Storage is correct because it is a NoSQL key-value store optimized for high-volume, low-cost storage of structured data like telemetry entries. It supports efficient range queries on the partition key (e.g., timestamp) and row key, enabling sub-second scans of large date ranges. Its storage cost is the lowest among Azure storage options for this workload, as it charges only for consumed capacity with no minimum throughput commitments.
Last reviewed: Jun 11, 2026
This AZ-204 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 AZ-204 exam.
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