The answer is to use lifecycle management policies and locally redundant storage (LRS) for temporary data. Lifecycle management policies automatically transition infrequently accessed data to cooler, lower-cost tiers like cool or archive based on age or usage patterns, directly reducing storage costs without manual intervention. For temporary or transient data, choosing LRS over geo-redundant storage eliminates the cost of unnecessary replication, as this data does not require high durability across regions. On the Microsoft Azure Data Engineer Associate DP-203 exam, this question tests your understanding of cost optimization strategies within ADLS Gen2, often appearing as a scenario where you must identify two complementary actions. A common trap is selecting manual tier changes or expensive redundancy options for ephemeral workloads. Remember the mnemonic: “Lifecycle for old, LRS for cold” — lifecycle policies handle aging data, while LRS handles short-lived data.
DP-203 Practice Question: Monitor and optimize data storage and processing
This DP-203 practice question tests your understanding of monitor and optimize data storage and processing. 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.
Which TWO actions help optimize data storage costs in Azure Data Lake Storage Gen2?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Configure lifecycle management policies to move data to cool or archive tiers.
Option C is correct because Azure Data Lake Storage Gen2 supports lifecycle management policies that automatically transition data to cooler tiers (cool or archive) based on age or usage patterns. Moving infrequently accessed data to lower-cost tiers directly reduces storage costs 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.
✗
Enable soft delete for blobs.
Why it's wrong here
Soft delete increases cost by retaining deleted data.
✗
Enable geo-redundant storage (GRS) for the storage account.
Why it's wrong here
Geo-redundancy increases cost due to replication.
✓
Configure lifecycle management policies to move data to cool or archive tiers.
Why this is correct
Lifecycle policies reduce cost by tiering infrequently accessed data.
Related concept
Read the scenario before looking for a memorised answer.
✗
Enable encryption at rest using customer-managed keys.
Why it's wrong here
Encryption does not reduce storage cost.
✓
Use locally redundant storage (LRS) for temporary data.
Why this is correct
LRS is cheaper than other redundancy options.
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 often confuse cost-optimization features (like tiering) with data protection or security features (like soft delete, GRS, or encryption), which serve different purposes and may actually increase costs.
Detailed technical explanation
How to think about this question
Lifecycle management policies in Azure Data Lake Storage Gen2 are implemented via blob-level rules that evaluate last modification time or creation time to trigger tier transitions. For example, you can set a rule to move blobs older than 30 days to the cool tier and blobs older than 90 days to the archive tier, where storage costs are significantly lower (cool tier is ~40% cheaper than hot, archive tier is ~80% cheaper). This is particularly effective for log data, historical analytics, or backup files that are rarely accessed after a certain period.
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.
Monitor and optimize data storage and processing — This question tests Monitor and optimize data storage and processing — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Configure lifecycle management policies to move data to cool or archive tiers. — Option C is correct because Azure Data Lake Storage Gen2 supports lifecycle management policies that automatically transition data to cooler tiers (cool or archive) based on age or usage patterns. Moving infrequently accessed data to lower-cost tiers directly reduces storage costs 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.
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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