The correct answer is the Cool storage tier for raw ingested data in Azure Data Lake Storage Gen2. This is because the Cool tier balances low storage costs with immediate, low-latency access, which is essential for raw data that will undergo future ETL or batch processing. Unlike the Archive tier, which requires a multi-hour rehydration delay before data can be read, the Cool tier keeps data online and instantly available, making it the practical choice for a data lake where schemas vary and processing demands are unpredictable. On the DP-203 exam, this scenario tests your understanding of lifecycle management and cost optimization within ADLS Gen2, often presenting the Archive tier as a tempting but incorrect trap due to its lower cost. Remember the key distinction: raw data must be ready for processing without delay, so Cool is the sweet spot—think “Cool for compute, Archive for compliance.”
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 company is designing a data lake on Azure Data Lake Storage Gen2. Data comes from multiple sources with varying schemas. The team must minimize storage costs while keeping all data available for future processing. Which storage tier should they use for the raw ingested data?
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
✓
Cool tier
The Cool tier is the optimal choice for raw ingested data in a data lake because it offers low storage costs while maintaining low-latency access for future processing. Unlike the Archive tier, Cool tier data is immediately available without the multi-hour rehydration delay, and it is significantly cheaper than the Hot tier for data that is infrequently accessed but must remain online for ETL or batch processing.
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.
✗
Premium tier
Why it's wrong here
Incorrect. Premium tier is for high-performance workloads and is expensive.
✗
Archive tier
Why it's wrong here
Incorrect. Archive tier has high retrieval latency and is not suitable for data that may need to be accessed for processing.
✓
Cool tier
Why this is correct
Correct. Cool tier balances cost and availability 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.
✗
Hot tier
Why it's wrong here
Incorrect. Hot tier is more expensive and not necessary for raw data that may not be accessed frequently.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse 'minimize storage costs' with 'cheapest tier possible' and select Archive, forgetting that raw data must be immediately accessible for future processing, which Archive cannot provide without significant delay.
Detailed technical explanation
How to think about this question
Azure Data Lake Storage Gen2 access tiers (Hot, Cool, Archive) are managed at the blob level, and the Cool tier uses lower-cost HDD-based storage with a 30-day minimum storage charge. The rehydration process for Archive data involves changing the blob tier to Cool or Hot, which triggers an asynchronous copy operation that can take up to 15 hours depending on blob size and priority; this latency makes Archive unsuitable for any scenario where data must be available on demand for ad-hoc queries or pipeline processing.
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: Cool tier — The Cool tier is the optimal choice for raw ingested data in a data lake because it offers low storage costs while maintaining low-latency access for future processing. Unlike the Archive tier, Cool tier data is immediately available without the multi-hour rehydration delay, and it is significantly cheaper than the Hot tier for data that is infrequently accessed but must remain online for ETL or batch processing.
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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