Question 75 of 1,031

Describe Azure architecture and services →mediumMultiple ChoiceObjective-mapped

Quick Answer

The answer is Azure Blob Storage lifecycle management policies, which are the correct choice because they natively automate storage tiering based on data age without requiring any custom code or scripting. This feature allows you to define rules that automatically transition blobs from a higher-cost tier like Hot to a lower-cost tier like Cool or Archive after a specified period—exactly matching the scenario of moving rarely accessed data after 30 days. On the Microsoft Azure Fundamentals AZ-900 exam, this question tests your understanding of native Azure automation versus manual solutions; a common trap is confusing lifecycle management with Azure Automation or Logic Apps, which involve extra code or orchestration. Remember that lifecycle management is a built-in, rule-based policy applied directly to a storage account, not a separate service. A helpful memory tip: think of it as a “set-and-forget” thermostat for your data—once you set the temperature (age) threshold, Azure handles the rest.

AZ-900 Describe Azure architecture and services Practice Question

This AZ-900 practice question tests your understanding of describe azure architecture and services. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 stores historical sales data in Azure Blob Storage. The data is accessed frequently during the first 30 days after upload, but after that, it is rarely accessed. The company wants to automatically move blobs to a lower-cost storage tier after 30 days without any manual scripting or custom code. Which Azure feature should they use?

Clue words in this question

Noticing these words before you look at the options changes how you read each choice.

Clue: "first"
Why it matters: Order matters here. You are being tested on which action comes before the others — not which action is generally useful.

Question 1mediummultiple choice

Full question →

A
Azure Blob Storage lifecycle management policies
Correct. Lifecycle management policies automatically move blobs between access tiers based on rules you define, such as age. This requires no custom code or external services.
B
Azure Automation runbooks with a schedule
Why wrong: Incorrect. While you could write a PowerShell or Python script in an Automation runbook to check blob age and move tiers, this requires custom coding and is more complex than using the built-in lifecycle management feature.
C
Azure Logic Apps with a recurrence trigger
Why wrong: Incorrect. Logic Apps can orchestrate workflows, but moving blobs between tiers would still require custom logic or API calls. Lifecycle management is purpose-built for this and simpler.
D
Azure Policy to enforce storage tier at creation
Why wrong: Incorrect. Azure Policy can enforce that new blobs are created in a specific tier, but it cannot automatically move existing blobs to a different tier after a period of time.

Full breakdown with real-world context →

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

✓

Azure Blob Storage lifecycle management policies

Azure Blob Storage lifecycle management policies allow you to define rules that automatically transition blobs to a lower-cost storage tier (e.g., from Hot to Cool or Archive) based on the age of the data. This feature operates natively within Azure Storage, requires no custom code or scripting, and can be configured directly in the Azure portal or via ARM templates. The scenario's requirement for automatic, rule-based tiering after 30 days is exactly what lifecycle management policies are designed to do.

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.

✓
Azure Blob Storage lifecycle management policies
Why this is correct
Correct. Lifecycle management policies automatically move blobs between access tiers based on rules you define, such as age. This requires no custom code or external services.
Clue confirmation
The clue word "first" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Azure Automation runbooks with a schedule
Why it's wrong here
Incorrect. While you could write a PowerShell or Python script in an Automation runbook to check blob age and move tiers, this requires custom coding and is more complex than using the built-in lifecycle management feature.
✗
Azure Logic Apps with a recurrence trigger
Why it's wrong here
Incorrect. Logic Apps can orchestrate workflows, but moving blobs between tiers would still require custom logic or API calls. Lifecycle management is purpose-built for this and simpler.
✗
Azure Policy to enforce storage tier at creation
Why it's wrong here
Incorrect. Azure Policy can enforce that new blobs are created in a specific tier, but it cannot automatically move existing blobs to a different tier after a period of time.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates may confuse Azure Policy (which enforces rules at creation) with lifecycle management (which automates post-creation actions), or they may think that Logic Apps or Automation runbooks are simpler than they actually are, overlooking the 'no custom code' constraint.

Detailed technical explanation

How to think about this question

Lifecycle management policies use a JSON-based rule definition with filters (e.g., blob name prefix or index tags) and actions (e.g., 'tierToCool' after 30 days, 'tierToArchive' after 90 days). The policy is evaluated asynchronously once per day, so there may be a slight delay before blobs are moved. A real-world scenario is managing backup retention: you can automatically move weekly backups to Cool after 30 days and to Archive after 1 year, reducing costs without manual intervention.

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.

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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FAQ

Questions learners often ask

What does this AZ-900 question test?

Describe Azure architecture and services — This question tests Describe Azure architecture and services — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Azure Blob Storage lifecycle management policies — Azure Blob Storage lifecycle management policies allow you to define rules that automatically transition blobs to a lower-cost storage tier (e.g., from Hot to Cool or Archive) based on the age of the data. This feature operates natively within Azure Storage, requires no custom code or scripting, and can be configured directly in the Azure portal or via ARM templates. The scenario's requirement for automatic, rule-based tiering after 30 days is exactly what lifecycle management policies are designed to do.

What should I do if I get this AZ-900 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: "first". Order matters here. You are being tested on which action comes before the others — not which action is generally useful.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 11, 2026

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