Question 1easymultiple choice
Full question →easymultiple choiceObjective-mapped
A mobile gaming startup needs to store player profiles that can have varying attributes (e.g., some players have a 'nickname', others have 'avatar URL'). The application must read a player's profile by PlayerID with very low latency (under 10 ms) from any location worldwide. The data does not require complex queries or joins. Which Azure data store should they choose?
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 SQL Database
Azure SQL Database is a relational database that requires a fixed schema, making it less suitable for varying attributes. While it can be globally distributed via failover groups, it does not guarantee the same low latency for point reads as Cosmos DB.
B
Best answer
Azure Cosmos DB
Azure Cosmos DB is a globally distributed NoSQL database that supports flexible schemas and offers low-latency reads (under 10 ms) at any scale. It is the best fit for this scenario.
C
Distractor review
Azure Table Storage
Azure Table Storage is a key-value store that supports flexible schemas, but it is not globally distributed by default and does not provide the same low-latency guarantees as Cosmos DB, especially across regions.
D
Distractor review
Azure Blob Storage
Azure Blob Storage is for storing unstructured data such as documents, images, and videos. It does not provide low-latency point reads for individual records or support flexible schemas for application data.
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 Cosmos DB — Azure Cosmos DB is a globally distributed, multi-model database service that provides low-latency point reads (typically under 10 ms at the 99th percentile) and supports flexible schemas via its various APIs. It is ideal for globally distributed applications that need fast reads and writes with a flexible schema. Azure SQL Database is relational and requires a fixed schema. Azure Table Storage is a key-value store but does not offer global distribution with low latency guarantees. Azure Blob Storage is for unstructured data like files and images. Therefore, Azure Cosmos DB is the correct choice.
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.
Discussion
Loading comments…
Sign in to join the discussion.