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?
Answer choices
Why each option matters
Good practice is not just finding the correct option. The wrong answers often show the exact trap the exam wants you to fall into.
Best answer
Move blobs from Hot to Cool after 30 days, then to Archive after 2 years
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.
Distractor review
Store all data in Hot tier for the full retention period
Hot tier is the most expensive and is intended for frequently accessed data. Storing rarely accessed compliance data in Hot tier would result in unnecessary costs.
Distractor review
Move blobs from Hot to Archive after 30 days and delete after 2 years
Moving directly to Archive after 30 days would increase retrieval time for data that is still accessed occasionally. Deleting after 2 years violates the 7-year compliance requirement.
Distractor review
Store all data in Cool tier for the first 30 days, then move to Archive
Cool tier has higher retrieval costs and latency compared to Hot; placing frequently accessed data in Cool would degrade performance and potentially increase costs due to early deletion fees if data is accessed often.
Common exam trap
Common exam trap: NAT rules depend on direction and matching traffic
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Technical deep dive
How to think about this question
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
KKey Concepts to Remember
- Static NAT maps one inside address to one outside address.
- PAT allows many inside hosts to share one public address using ports.
- Inside local and inside global describe the private and translated addresses.
- NAT ACLs identify traffic for translation, not always security filtering.
TExam Day Tips
- Identify inside and outside interfaces first.
- Check whether the scenario needs static NAT, dynamic NAT or PAT.
- Do not confuse NAT matching ACLs with normal packet-filtering intent.
Related practice questions
Related DP-900 practice-question pages
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
More questions from this exam
Keep practising from the same exam bank, or move into a focused topic page if this question exposed a weak area.
Question 1
A data engineer needs to process streaming data from IoT devices and store the results in Azure Data Lake Storage for long-term analytics. The data must be processed in near real-time to detect anomalies and trigger alerts. Which Azure service should the engineer use for stream processing?
Question 2
A data engineer needs to query data stored in CSV files in Azure Data Lake Storage Gen2 using T-SQL in Azure Synapse Analytics, without loading the data into the database. Which feature should they use?
Question 3
A data engineer needs to process raw clickstream data from multiple websites that is stored in Azure Blob Storage as JSON files. The processing must run automatically every hour, transform the data into a structured format for reporting, and handle schema changes in the source data without manual intervention. Which Azure service should be used?
Question 4
A data engineer is designing a data lake architecture in Azure. They plan to first ingest raw data from various sources into a landing zone in Azure Data Lake Storage Gen2. Then they will clean, validate, and deduplicate that data in a second zone. Finally, they will create aggregated, business-ready datasets in a third zone for analysts. This layered approach is known as which architecture?
Question 5
A data engineer needs to transform large datasets stored in Azure Data Lake Storage Gen2 using Python and Apache Spark. They want a serverless compute option that automatically scales and requires no cluster management. Which Azure service should they use?
Question 6
A company collects customer feedback forms. Each form contains always-present fields like CustomerID and SubmissionDate, but also a free-text Comments field and optional fields like Rating or ProductCategory that vary between forms. How should this data be classified?
FAQ
Questions learners often ask
What does this DP-900 question test?
Static NAT maps one inside address to one outside address.
What is the correct answer to this question?
The correct answer is: Move blobs from Hot to Cool after 30 days, then to Archive after 2 years — Azure Blob Storage lifecycle management allows automatic movement of blobs between access tiers based on age. Hot tier is for frequently accessed data, Cool for infrequent access with moderate latency, Cold for rare access with higher latency, and Archive for compliance data that is rarely accessed and can tolerate several hours retrieval time. The transcript files should start in Hot tier for the first 30 days (frequent access), move to Cool or Cold for the next 2 years (infrequent access), and finally move to Archive for the 7-year compliance period (rare access). The most cost-effective strategy is to use Hot -> Cool -> Archive or Hot -> Cold -> Archive. The question tests understanding of when to use each tier based on access patterns.
What should I do if I get this DP-900 question wrong?
Then try more questions from the same exam bank and focus on understanding why the wrong options are tempting.
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