Quick Answer
The answer is Azure Blob Storage lifecycle management. This feature is correct because it enables you to define policy rules that automatically transition blobs to cooler access tiers, such as the 'cold' tier, after a specified number of days, and then delete them after a further period—directly meeting the requirement to move data older than 90 days to cold storage and remove data older than 365 days without custom code or manual intervention. On the Microsoft Azure Data Engineer Associate DP-203 exam, this scenario tests your understanding of automated data lifecycle policies within Azure Data Lake Storage Gen2, often appearing as a scenario where you must choose between lifecycle management, Azure Policy, or manual tiering; a common trap is selecting Azure Policy, which governs compliance rules, not data transitions. Remember the memory tip: "90 to cold, 365 to gone—lifecycle rules get it done."
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 stores sensitive customer data in Azure Data Lake Storage Gen2. They need to implement a data retention policy where data older than 90 days is automatically moved to the 'cold' access tier, and data older than 365 days is deleted. Which Azure feature should be used to automate this?
Blob Storage lifecycle management
Lifecycle management policies can automatically move blobs between tiers and delete based on age.
Azure Automation
Why wrong: Automation can run scripts but is not the native lifecycle management solution.
Azure Data Factory
Why wrong: Data Factory is for data movement, not lifecycle management.
Azure Policy
Why wrong: Azure Policy is for governance, not data lifecycle.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Blob Storage lifecycle management
Azure Blob Storage lifecycle management is the correct feature because it allows you to define rules that automatically transition blobs to cooler access tiers (like the 'cold' tier) after a specified number of days and delete them after a further period. This directly meets the requirement to move data older than 90 days to the cold tier and delete data older than 365 days, all without custom code or manual intervention.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Blob Storage lifecycle management
Why this is correct
Lifecycle management policies can automatically move blobs between tiers and delete based on age.
Related concept
Read the scenario before looking for a memorised answer.
Azure Automation
Why it's wrong here
Automation can run scripts but is not the native lifecycle management solution.
Azure Data Factory
Why it's wrong here
Data Factory is for data movement, not lifecycle management.
Azure Policy
Why it's wrong here
Azure Policy is for governance, not data lifecycle.
Common exam traps
The trap here is that candidates often confuse Azure Policy (which enforces resource-level compliance) with data lifecycle management, or they assume a general automation tool like Azure Automation is needed when a native, policy-driven feature already exists.
Detailed technical explanation
Azure Blob Storage lifecycle management uses XML-based policy rules defined in JSON, where each rule specifies a filter (e.g., by blob prefix or index tag) and a set of actions (e.g., 'tierToCold' after 90 days, 'delete' after 365 days). The policy is evaluated asynchronously once per day, so there may be a slight delay before actions take effect. In a real-world scenario, you can combine this with blob index tags to selectively apply policies to sensitive customer data while leaving other data untouched.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
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FAQ
Design and implement data storage — This question tests Design and implement data storage — Read the scenario before looking for a memorised answer..
The correct answer is: Blob Storage lifecycle management — Azure Blob Storage lifecycle management is the correct feature because it allows you to define rules that automatically transition blobs to cooler access tiers (like the 'cold' tier) after a specified number of days and delete them after a further period. This directly meets the requirement to move data older than 90 days to the cold tier and delete data older than 365 days, all without custom code or manual intervention.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 11, 2026
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