Question 697 of 820
Describe considerations for working with non-relational data on Azure →mediumMultiple ChoiceObjective-mapped
DP-900 Practice Question: Describe considerations for working with non-relational data on Azure
A company stores customer support chat transcripts as plain text files in Azure Blob Storage. The files are accessed frequently for the first 30 days, then infrequently for the next 2 years, and after that must be retained for 7 years for compliance but are rarely accessed. The company wants to minimize storage costs by automatically moving data through appropriate access tiers. Which Azure Blob Storage lifecycle management policy should they implement?
⚠ Common exam trap
The trap here is that candidates may overlook the rehydration latency of the Archive tier and incorrectly move data to Archive during a period of frequent access, or fail to account for the full compliance retention period when choosing deletion actions.
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
✓
Move blobs from Hot to Cool after 30 days, then to Archive after 2 years
The lifecycle management policy matches the access pattern: move blobs from Hot (frequent access for first 30 days) to Cool (infrequent access for next 2 years) after 30 days, then to Archive (rare access for 7-year compliance) after 2 years. This minimizes storage costs by using the cheapest tier for each phase while retaining data for the required 7-year compliance period.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Move blobs from Hot to Cool after 30 days, then to Archive after 2 years
Why this is correct
This policy correctly matches the access pattern: Hot tier for frequent initial access, Cool for infrequent intermediate access (still retained for 2 years but accessed rarely), and Archive for long-term compliance retention where data is rarely accessed and retrieval latency is acceptable.
- ✗
Store all data in Hot tier for the full retention period
Why it's wrong here
Keeping all data in the Hot tier for the full 7-year period ignores the access pattern: after the initial 30 days, the transcripts are accessed rarely, so paying the highest storage price (Hot tier) for 7 years would incur unnecessary costs. Hot tier is designed for data accessed frequently and has no early-deletion penalty, but using it for cold, compliance-only data is wasteful and contradicts Azure cost optimization best practices, which recommend automatically migrating to cheaper tiers as access frequency declines.
When this WOULD be correct
If the question required maximum access performance for the entire retention period and cost was not a concern, or if the data was accessed frequently throughout the entire 7+ year period, then keeping all data in the Hot tier would be appropriate.
- ✗
Move blobs from Hot to Archive after 30 days and delete after 2 years
Why it's wrong here
Moving directly to Archive after 30 days is inappropriate because Archive is optimized for rarely accessed data with high retrieval latency (hours), but these transcripts are still accessed occasionally during the first two years for customer service follow-ups. Deleting blobs after 2 years violates the 7-year compliance requirement, as lifecycle management policies would permanently remove data needed for legal or regulatory audits, leading to potential non-compliance penalties.
When this WOULD be correct
If the compliance requirement was to retain data for only 2 years and then delete, and access patterns were hot for 30 days then archive, this policy would be correct.
- ✗
Store all data in Cool tier for the first 30 days, then move to Archive
Why it's wrong here
Storing frequently accessed transcripts in Cool tier for the first 30 days is suboptimal because Cool tier has higher per-GB retrieval costs and lower latency than Hot, and frequent reads during that initial period would incur additional access charges and degrade user experience for customer support agents. Also, Cool tier imposes a 30-day minimum retention period; if blobs are moved or deleted before that, early deletion fees apply, so placing new data directly into Cool is both more expensive and slower than using Hot for the active phase.
When this WOULD be correct
If the question stated that data is accessed infrequently from day one (e.g., monthly reports accessed only a few times) and must be retained for compliance, then storing directly in Cool and moving to Archive after 30 days would be cost-effective.
Option-by-option analysis
Why each answer is right or wrong
Understanding why wrong answers are wrong — and when they would be correct — is what separates a 750 score from a 900. The DP-900 exam frequently reuses these exact scenarios with slightly different constraints.
✓Move blobs from Hot to Cool after 30 days, then to Archive after 2 yearsCorrect answer▾
Why this is correct
This policy correctly matches the access pattern: Hot tier for frequent initial access, Cool for infrequent intermediate access (still retained for 2 years but accessed rarely), and Archive for long-term compliance retention where data is rarely accessed and retrieval latency is acceptable.
✗Store all data in Hot tier for the full retention periodWrong answer — click to see why▾
Why this is wrong here
Storing all data in the Hot tier for the full retention period incurs high storage costs, especially for data that is infrequently accessed after 30 days and rarely accessed after 2 years. The Hot tier is optimized for frequent access, not for long-term, low-cost retention.
★ When this WOULD be the correct answer
If the question required maximum access performance for the entire retention period and cost was not a concern, or if the data was accessed frequently throughout the entire 7+ year period, then keeping all data in the Hot tier would be appropriate.
Why candidates choose this
Candidates may think the Hot tier is the default safe choice for all data, not realizing that lifecycle management policies can automatically move data to lower-cost tiers to reduce costs without manual intervention.
✗Move blobs from Hot to Archive after 30 days and delete after 2 yearsWrong answer — click to see why▾
Why this is wrong here
The policy deletes blobs after 2 years, but the requirement is to retain them for 7 years for compliance. Deleting after 2 years violates the retention policy.
★ When this WOULD be the correct answer
If the compliance requirement was to retain data for only 2 years and then delete, and access patterns were hot for 30 days then archive, this policy would be correct.
Why candidates choose this
Candidates may focus on the cost-saving aspect of moving directly to Archive after 30 days, overlooking the long-term retention requirement of 7 years.
✗Store all data in Cool tier for the first 30 days, then move to ArchiveWrong answer — click to see why▾
Why this is wrong here
The Cool tier is not optimal for the first 30 days of frequent access because Hot tier provides lower latency and higher throughput for frequent access, and the policy should start with Hot tier to minimize costs while meeting performance needs.
★ When this WOULD be the correct answer
If the question stated that data is accessed infrequently from day one (e.g., monthly reports accessed only a few times) and must be retained for compliance, then storing directly in Cool and moving to Archive after 30 days would be cost-effective.
Why candidates choose this
Candidates may think Cool tier is sufficient for initial access and that skipping Hot tier saves costs, but they overlook that frequent access in Cool incurs higher read costs and latency compared to Hot.
Analysis generated from the official DP-900blueprint and verified against question context. The “when correct” sections are what AI assistants cite when candidates ask “what’s the difference between these options?”
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 |
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Last reviewed: Jun 11, 2026
This DP-900 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DP-900 exam.
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