- A
Store all data in Azure SQL Database with partitioning and drop older partitions
Why wrong: Azure SQL Database has no Archive tier; dropping partitions loses data permanently.
- B
Use Azure Data Lake Storage Gen2 with a single storage tier
Why wrong: Data Lake Storage does not have Archive tier; lifecycle management requires Blob Storage.
- C
Store data in Azure Cosmos DB with time-to-live (TTL) and use Azure Blob Storage for backups
Why wrong: Cosmos DB is expensive for long-term storage and TTL deletes data.
- D
Use Azure Blob Storage with lifecycle management to transition from Hot to Cool to Archive tiers
Lifecycle management automates tier transitions, minimizing cost while retaining data.
Question 412 of 851
DP-203 Design and implement data storage Practice Question
This DP-203 practice question tests your understanding of design and implement data 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.
A multinational bank needs to store customer transaction records for 10 years to meet regulatory compliance. The data is rarely accessed after the first year. The solution must minimize storage costs while allowing queries on recent data with low latency. Which tiering strategy should you implement?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"first"Why it matters: Order matters here. You are being tested on which action comes before the others — not which action is generally useful.
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
✓
Use Azure Blob Storage with lifecycle management to transition from Hot to Cool to Archive tiers
Option D is correct because Azure Blob Storage lifecycle management automatically transitions blobs from Hot to Cool to Archive tiers based on age, minimizing storage costs for rarely accessed data after the first year while keeping recent data in Hot tier for low-latency queries. This aligns with the 10-year retention requirement and cost optimization goal without manual intervention.
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.
- ✗
Store all data in Azure SQL Database with partitioning and drop older partitions
Why it's wrong here
Azure SQL Database has no Archive tier; dropping partitions loses data permanently.
- ✗
Use Azure Data Lake Storage Gen2 with a single storage tier
Why it's wrong here
Data Lake Storage does not have Archive tier; lifecycle management requires Blob Storage.
- ✗
Store data in Azure Cosmos DB with time-to-live (TTL) and use Azure Blob Storage for backups
Why it's wrong here
Cosmos DB is expensive for long-term storage and TTL deletes data.
- ✓
Use Azure Blob Storage with lifecycle management to transition from Hot to Cool to Archive tiers
Why this is correct
Lifecycle management automates tier transitions, minimizing cost while retaining data.
Clue confirmation
The clue words "first", "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may choose Option C thinking TTL in Cosmos DB can handle retention, but TTL deletes data automatically, which violates regulatory retention requirements, not just cost optimization.
Detailed technical explanation
How to think about this question
Azure Blob Storage lifecycle management uses rules defined in JSON or portal to evaluate blob age (e.g., 'daysAfterModificationGreaterThan') and transitions blobs between Hot (frequent access, higher cost), Cool (infrequent access, lower cost), and Archive (offline, lowest cost) tiers. The Archive tier has a 15-minute to 15-hour rehydration latency, which is acceptable for rarely accessed data after year one. This approach leverages Azure's tiered storage pricing model to reduce costs by up to 80% compared to keeping all data in Hot tier.
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.
Quick reference
Azure Blob Storage Tier Comparison
| Tier | Storage Cost | Retrieval Cost | Latency | Use Case |
|---|---|---|---|---|
| Hot | Highest | Lowest | Immediate | Active data, frequent reads |
| Cool | Lower | Higher | Immediate | Data accessed < once / month |
| Cold | Lower still | Higher | Immediate | Data accessed < once / quarter |
| Archive | Lowest | Highest + rehydration delay | Hours | Long-term compliance retention |
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this DP-203 question test?
Design and implement data storage — This question tests Design and implement data storage — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use Azure Blob Storage with lifecycle management to transition from Hot to Cool to Archive tiers — Option D is correct because Azure Blob Storage lifecycle management automatically transitions blobs from Hot to Cool to Archive tiers based on age, minimizing storage costs for rarely accessed data after the first year while keeping recent data in Hot tier for low-latency queries. This aligns with the 10-year retention requirement and cost optimization goal without manual intervention.
What should I do if I get this DP-203 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: "first", "minimum / minimize". Order matters here. You are being tested on which action comes before the others — not which action is generally useful.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
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