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.
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?
Why wrong: Blob Storage is designed for unstructured data like images or logs, not for fast analytical queries on structured telemetry data.
B
Azure Table Storage
Table Storage is a NoSQL key-value store that handles massive amounts of structured data with low cost and supports fast range queries on RowKey, making it ideal for time-series telemetry.
C
Azure Cosmos DB
Why wrong: Cosmos DB offers lower latency and richer query capabilities but at a significantly higher cost compared to Table Storage, which is unnecessary for this scenario.
D
Azure Data Lake Storage
Why wrong: Data Lake Storage is optimized for big data analytics and large files, not for sub-second queries on small individual telemetry entries.
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 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.
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
Why it's wrong here
Blob Storage is designed for unstructured data like images or logs, not for fast analytical queries on structured telemetry data.
✓
Azure Table Storage
Why this is correct
Table Storage is a NoSQL key-value store that handles massive amounts of structured data with low cost and supports fast range queries on RowKey, making it ideal for time-series telemetry.
Related concept
Read the scenario before looking for a memorised answer.
✗
Azure Cosmos DB
Why it's wrong here
Cosmos DB offers lower latency and richer query capabilities but at a significantly higher cost compared to Table Storage, which is unnecessary for this scenario.
✗
Azure Data Lake Storage
Why it's wrong here
Data Lake Storage is optimized for big data analytics and large files, not for sub-second queries on small individual telemetry entries.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often choose Azure Cosmos DB for its low-latency queries, overlooking the explicit 'lowest storage cost' requirement, which Table Storage satisfies due to its simpler architecture and lack of provisioned throughput costs.
Trap categories for this question
Scenario analysis trap
Cosmos DB offers lower latency and richer query capabilities but at a significantly higher cost compared to Table Storage, which is unnecessary for this scenario.
Detailed technical explanation
How to think about this question
Azure Table Storage uses a schema-less design where each entity is stored as a set of properties, and queries are executed via the OData REST API or SDK. The partition key (e.g., a date prefix) and row key (e.g., timestamp) form a composite primary key, allowing efficient point queries and range scans within a partition using the timestamp as a row key. In real-world IoT scenarios, you can partition by day (e.g., '2025-03-20') and use the exact timestamp as the row key, enabling sub-second retrieval of all entries for the last 30 days by scanning only the relevant 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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this AZ-204 question in full detail.
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 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.
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.
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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