Question 943 of 982

Describe considerations for working with non-relational data on Azure →mediumMultiple ChoiceObjective-mapped

Quick Answer

The answer is Azure Cosmos DB Table API because it delivers a fully managed key-value store optimized for real-time GPS data ingestion with single-millisecond latency at the 99th percentile, making it ideal for the ride-sharing scenario where millions of concurrent users write timestamped location updates keyed by user ID. This API supports a schema-less data model that naturally maps to simple key-value pairs, avoiding the overhead of complex queries or joins while providing automatic scaling and global distribution. On the DP-900 exam, this question tests your ability to match Azure NoSQL database services to specific workload characteristics—here, the trap is confusing Table API with SQL API, which supports richer querying but adds unnecessary complexity for pure key-value needs. Remember that Table API is essentially Azure’s serverless key-value store within Cosmos DB, designed for high-throughput, low-latency operations without relational features. A helpful memory tip: think “Table for key-value, SQL for queries”—when the data model is flat and fast, Table API is the right fit.

DP-900 Practice Question: Describe considerations for working with non-relational data on Azure

This DP-900 practice question tests your understanding of describe considerations for working with non-relational data on azure. 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 ride-sharing application needs to store real-time GPS location updates from drivers and passengers. The data is ingested as key-value pairs where the key is the user ID and the value is a timestamped location. The application requires low-latency reads and writes for millions of concurrent users, and the data model is simple with no need for complex queries or joins. Which Azure NoSQL database API should be used for this workload?

Question 1mediummultiple choice

Full question →

A
Azure Cosmos DB Table API
The Table API is designed for key-value storage with simple queries by partition key and row key, providing low-latency access at global scale. It is ideal for this type of high-throughput, simple data access pattern.
B
Azure Cosmos DB SQL (Core) API
Why wrong: The SQL API supports rich query capabilities using SQL-like syntax. This is over-engineered for simple key-value lookups and may introduce unnecessary complexity and cost.
C
Azure Cosmos DB for MongoDB API
Why wrong: The MongoDB API is a document database API that stores data in JSON-like documents. It is not optimized for pure key-value workloads and the application does not need the flexibility of schemas.
D
Azure Cosmos DB for Apache Gremlin API
Why wrong: The Gremlin API is a graph database API used for managing highly connected data, like social networks or recommendation engines. It is not suitable for simple key-value operations.

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 Cosmos DB Table API

Azure Cosmos DB Table API is the correct choice because it provides a key-value store with low-latency reads and writes, ideal for high-throughput scenarios like real-time GPS updates. It supports a simple schema-less data model where each item is a key-value pair, and it offers single-millisecond latency at the 99th percentile for both reads and writes, meeting the requirement for millions of concurrent users without complex queries or joins.

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 Cosmos DB Table API
Why this is correct
The Table API is designed for key-value storage with simple queries by partition key and row key, providing low-latency access at global scale. It is ideal for this type of high-throughput, simple data access pattern.
Related concept
Read the scenario before looking for a memorised answer.
✗
Azure Cosmos DB SQL (Core) API
Why it's wrong here
The SQL API supports rich query capabilities using SQL-like syntax. This is over-engineered for simple key-value lookups and may introduce unnecessary complexity and cost.
✗
Azure Cosmos DB for MongoDB API
Why it's wrong here
The MongoDB API is a document database API that stores data in JSON-like documents. It is not optimized for pure key-value workloads and the application does not need the flexibility of schemas.
✗
Azure Cosmos DB for Apache Gremlin API
Why it's wrong here
The Gremlin API is a graph database API used for managing highly connected data, like social networks or recommendation engines. It is not suitable for simple key-value operations.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often choose the SQL (Core) API because it is the most versatile and well-known, but they overlook that the Table API is specifically optimized for simple key-value workloads with lower latency and cost, as it avoids the overhead of document parsing and indexing for complex queries.

Detailed technical explanation

How to think about this question

Under the hood, the Table API stores data in a partitioned key-value structure where the partition key (e.g., user ID) determines data distribution across physical partitions, enabling horizontal scaling for millions of concurrent users. Each item includes a timestamped location as a property, and the API supports automatic indexing of all properties by default, but for pure key-value workloads, you can disable indexing to reduce write latency and RU consumption. In real-world scenarios, this API is commonly used for IoT telemetry or session state stores where low latency and high throughput are critical, and the Table API's RESTful interface allows direct HTTP access without SDK overhead.

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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.

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 DP-900 question test?

Describe considerations for working with non-relational data on Azure — This question tests Describe considerations for working with non-relational data on Azure — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Azure Cosmos DB Table API — Azure Cosmos DB Table API is the correct choice because it provides a key-value store with low-latency reads and writes, ideal for high-throughput scenarios like real-time GPS updates. It supports a simple schema-less data model where each item is a key-value pair, and it offers single-millisecond latency at the 99th percentile for both reads and writes, meeting the requirement for millions of concurrent users without complex queries or joins.

What should I do if I get this DP-900 question wrong?

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

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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