A company stores log data in Azure Blob Storage. The logs are accessed frequently for the first 30 days, then only occasionally for up to 1 year, and after that must be retained for 7 years for compliance purposes. The company wants to minimize storage costs by automatically moving data to cheaper tiers. Which Azure Blob Storage lifecycle management policy should they implement?

Move to Cool tier after 30 days, move to Archive tier after 365 days, delete after 7 years

Delete after 7 years is ambiguous because lifecycle management uses days; 7 years equals 2555 days. Using '7 years' is not a valid numeric value.

Move to Cool tier after 30 days, move to Archive tier after 30 days, delete after 2555 days

Moving directly from Hot to Archive after 30 days ignores the occasional access period and increases retrieval costs for the occasional access during the first year.

Move to Archive tier after 30 days, keep in Archive until deletion after 2555 days

This avoids the Cool tier and moves data to Archive too early. Frequent access for the first 30 days would incur high retrieval costs and slower performance during that period.

What does this AZ-305 question test?

Read the scenario before looking for a memorised answer.

What is the correct answer to this question?

The correct answer is: Move to Cool tier after 30 days, move to Archive tier after 365 days, delete after 2555 days — Lifecycle management policies allow automatic transition between access tiers and deletion. The most cost-effective approach is to move blobs to the Cool tier after 30 days (when access frequency drops), then to the Archive tier after 365 days (when access becomes very rare), and finally delete them after 7 years (2555 days). This balances access cost with storage cost.

What should I do if I get this AZ-305 question wrong?

Then try more questions from the same exam bank and focus on understanding why the wrong options are tempting.