The answer is to implement a data export process using Azure Data Factory to move data older than 30 days to Blob Storage, combined with enabling point-in-time restore (PITR) on the source database and configuring the Blob Storage account with the cool access tier. This approach directly addresses the need for long-term transaction storage point-in-time restore cost optimization because PITR is only cost-effective for recent data (typically 7-35 days), while older regulatory data belongs in cheaper, infrequently accessed tiers. On the DP-203 exam, this scenario tests your understanding of hybrid storage strategies—using native PITR for operational recovery and Azure Data Factory for lifecycle management to Blob Storage. A common trap is assuming you can extend PITR retention to seven years, which would be prohibitively expensive; instead, the exam expects you to decouple active recovery from archival compliance. Remember the memory tip: “PITR for the present, Blob for the past”—keep your restore window tight and your archive cool.
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.
You are designing a data storage solution for a financial services company. The solution must meet the following requirements: store transaction data for 7 years for regulatory compliance, support point-in-time restore (PITR) for the last 30 days, and minimize storage costs for historical data. Which THREE actions should you take?
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 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 cool access tier for data older than 30 days
Option B is correct because Azure Blob Storage's cool access tier is designed for infrequently accessed data with lower storage costs, making it ideal for historical transaction data older than 30 days. This tier provides cost-effective storage while still allowing retrieval when needed, aligning with the requirement to minimize storage costs for historical data.
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 historical data in Azure Data Lake Storage Gen2
Why it's wrong here
Data Lake Storage is for analytics, not necessary for simple archival.
✓
Use Azure Blob Storage with cool access tier for data older than 30 days
Why this is correct
Cool tier is cost-effective for infrequently accessed data.
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.
✓
Use Azure SQL Database with automated backups and PITR retention of 30 days
Why this is correct
Azure SQL Database provides PITR up to 35 days.
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.
✓
Implement a data export process using Azure Data Factory to move data older than 30 days to Blob Storage
Why this is correct
Data Factory can automate the export to Blob Storage.
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.
✗
Use Azure Table Storage for archival
Why it's wrong here
Table Storage is not relational and does not support PITR.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Azure Data Lake Storage Gen2 with a cost-effective archival solution, when in fact it is designed for high-throughput analytics and lacks the tiered pricing that Blob Storage offers for long-term retention.
Detailed technical explanation
How to think about this question
Azure Blob Storage lifecycle management policies can automatically transition blobs from hot to cool to archive tiers based on age, enabling cost optimization without manual intervention. For example, you can set a rule to move blobs older than 30 days to the cool tier, and after 7 years to the archive tier, reducing storage costs by up to 80% compared to hot tier. The cool tier has a lower storage cost but higher access cost and a 30-day minimum retention charge, which aligns with the 30-day PITR requirement.
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 DP-203 question in full detail.
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 cool access tier for data older than 30 days — Option B is correct because Azure Blob Storage's cool access tier is designed for infrequently accessed data with lower storage costs, making it ideal for historical transaction data older than 30 days. This tier provides cost-effective storage while still allowing retrieval when needed, aligning with the requirement to minimize storage costs for historical data.
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: "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.
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Question Discussion
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