The answer is Cosmos DB’s automatic indexing of all properties, along with its multi-region writes and multiple consistency models. These three features are valid considerations when choosing between Azure Cosmos DB and Table Storage because Cosmos DB is designed as a globally distributed, multi-model database that automatically indexes every property by default—no manual schema or index management required. In contrast, Azure Table Storage is a simpler, schema-less NoSQL store that does not offer automatic indexing, multi-region write support, or tunable consistency levels. On the Microsoft Azure Data Fundamentals DP-900 exam, this comparison tests your understanding of when to use a fully managed, globally distributed service versus a cost-effective, regionally constrained storage option. A common trap is assuming both services support serverless or JSON equally—they do, but those are not differentiators. Memory tip: think “Cosmos = Consistency, Multi-region, Auto-indexing” to recall the three key advantages.
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.
Which THREE of the following are valid considerations when choosing between Azure Cosmos DB and Azure Table Storage?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Cosmos DB provides multiple consistency levels
Options A, B, and C are correct. Cosmos DB offers multi-region writes (A), multiple consistency models (B), and automatic indexing (C). Option D is wrong because both support serverless. Option E is wrong because both support JSON.
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.
✗
Table Storage supports multi-region writes
Why it's wrong here
Table Storage is single-region write by default.
✓
Cosmos DB provides multiple consistency levels
Why this is correct
Cosmos DB offers five consistency models.
Related concept
Read the scenario before looking for a memorised answer.
✓
Cosmos DB supports multi-region writes
Why this is correct
Cosmos DB can write to multiple regions simultaneously.
Related concept
Read the scenario before looking for a memorised answer.
Read the scenario before looking for a memorised answer.
Common exam traps
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.
Detailed technical explanation
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.
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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this DP-900 question in full detail.
Identify which DP-900 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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: Cosmos DB provides multiple consistency levels — Options A, B, and C are correct. Cosmos DB offers multi-region writes (A), multiple consistency models (B), and automatic indexing (C). Option D is wrong because both support serverless. Option E is wrong because both support JSON.
What should I do if I get this DP-900 question wrong?
Identify which DP-900 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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