Question 476 of 982

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

Quick Answer

The answer is Azure Cosmos DB using the Table API for a global user session store. This is correct because Cosmos DB provides a fully managed, globally distributed key-value store that guarantees single-digit-millisecond latency for reads and writes at the 99th percentile, with multi-region writes and tunable consistency—exactly what a startup needs for low-latency, durable user sessions where each session ID acts as a partition key mapping to a JSON value. On the DP-900 exam, this scenario tests your understanding of when to choose Cosmos DB over simpler options like Azure Table Storage (which lacks global multi-region writes) or Redis Cache (which is not primarily durable). A common trap is to pick Azure Table Storage because of the “key-value” name, but remember: for global, low-latency, durable sessions with multi-region writes, you need Cosmos DB’s SLA-backed global distribution. Memory tip: “Global sessions need global Cosmos—Table Storage stays local.”

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 startup is building a global user session store. Each session consists of a simple key (session ID) and a value (user data as a JSON string). The application requires low-latency reads and writes from any Azure region, and the data must be durable. Which Azure service is best suited for this scenario?

Clue words in this question

Noticing these words before you look at the options changes how you read each choice.

Clue: "best"
Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.

Question 1mediummultiple choice

Full question →

A
Azure Cosmos DB (Table API)
Cosmos DB with Table API provides a globally distributed, low-latency, fully managed key-value store. It supports automatic scaling and multi-region writes, fitting the startup's requirements.
B
Azure Table Storage
Why wrong: Azure Table Storage is a cost-effective key-value store but is not globally distributed by default. Achieving global distribution would require complex application-level replication, and latency would not be as low as Cosmos DB across regions.
C
Azure Redis Cache
Why wrong: Azure Redis Cache is an in-memory data store, excellent for caching but not designed for durable storage. Data can be lost on node failure unless persistence is configured, and it does not natively support global distribution across regions.
D
Azure Blob Storage
Why wrong: Azure Blob Storage is for storing large binary or text files, not optimized for high-throughput key-value access or low-latency session management. It also lacks native global distribution for low-latency requests.

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 best fit because it provides global, multi-region writes with tunable consistency, guaranteed single-digit-millisecond latency for reads and writes at the 99th percentile, and full durability with automatic replication across any number of Azure regions. The Table API offers a key-value store interface (session ID as partition key, JSON value) while also supporting schema flexibility and SLA-backed performance, which is critical for a global user session store.

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
Cosmos DB with Table API provides a globally distributed, low-latency, fully managed key-value store. It supports automatic scaling and multi-region writes, fitting the startup's requirements.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Azure Table Storage
Why it's wrong here
Azure Table Storage is a cost-effective key-value store but is not globally distributed by default. Achieving global distribution would require complex application-level replication, and latency would not be as low as Cosmos DB across regions.
✗
Azure Redis Cache
Why it's wrong here
Azure Redis Cache is an in-memory data store, excellent for caching but not designed for durable storage. Data can be lost on node failure unless persistence is configured, and it does not natively support global distribution across regions.
✗
Azure Blob Storage
Why it's wrong here
Azure Blob Storage is for storing large binary or text files, not optimized for high-throughput key-value access or low-latency session management. It also lacks native global distribution for low-latency requests.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often confuse Azure Table Storage (a simple, regional key-value store) with Azure Cosmos DB Table API (a globally distributed, low-latency, SLA-backed service), assuming both offer the same global performance and durability, when in fact only Cosmos DB provides multi-region writes and guaranteed latency.

Detailed technical explanation

How to think about this question

Cosmos DB's Table API uses a hash-based partition key (the session ID) to distribute data across physical partitions, enabling horizontal scaling and consistent low-latency access. Under the hood, Cosmos DB replicates data synchronously within a region and asynchronously across regions, with automatic failover and multi-master writes; this ensures that a session written in one region is available for reads in another region within milliseconds, without requiring application-level conflict resolution. In a real-world scenario, a gaming platform using Cosmos DB Table API for session state can handle millions of concurrent users globally, with each session read completing in under 10 ms at the 99th percentile, even during regional outages.

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 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

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 best fit because it provides global, multi-region writes with tunable consistency, guaranteed single-digit-millisecond latency for reads and writes at the 99th percentile, and full durability with automatic replication across any number of Azure regions. The Table API offers a key-value store interface (session ID as partition key, JSON value) while also supporting schema flexibility and SLA-backed performance, which is critical for a global user session store.

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.

Are there clue words in this question I should notice?

Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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