mediummultiple choiceObjective-mapped

A media publishing company stores high-resolution images and video files for their website. These files are large (hundreds of MBs each) and are accessed only a few times per month, but when accessed, they must be delivered within seconds. Additionally, they need to store a small amount of metadata (e.g., upload date, author) for each file. Which Azure service should they use for storing the binary files?

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A media publishing company stores high-resolution images and video files for their website. These files are large (hundreds of MBs each) and are accessed only a few times per month, but when accessed, they must be delivered within seconds. Additionally, they need to store a small amount of metadata (e.g., upload date, author) for each file. Which Azure service should they use for storing the binary files?

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.

A

Distractor review

Azure Table Storage

Azure Table Storage is a NoSQL key-value store for structured data, not suitable for large binary files.

B

Best answer

Azure Blob Storage

Azure Blob Storage is optimized for large unstructured binary objects and supports custom metadata.

C

Distractor review

Azure File Storage

Azure File Storage provides SMB file shares for applications that need a network file system, not ideal for large binary objects with metadata.

D

Distractor review

Azure Queue Storage

Azure Queue Storage is a messaging service for asynchronous communication, not for storing files.

Common exam trap

Common exam trap: answer the scenario, not the keyword

Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.

Technical deep dive

How to think about this question

This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.

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.
  • Use explanations to understand the rule behind the answer.

TExam Day Tips

  • Underline the problem statement mentally.
  • 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.

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?

Read the scenario before looking for a memorised answer.

What is the correct answer to this question?

The correct answer is: Azure Blob Storage — Azure Blob Storage is designed for storing massive amounts of unstructured data, such as images and videos. It supports custom metadata per blob, allowing the company to store metadata like upload date and author alongside the binary data. Blob Storage also offers various access tiers (hot, cool, archive) to optimize cost for infrequently accessed data while providing low-latency retrieval when needed.

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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