- A
Azure Cosmos DB for transactions; Azure SQL Database for analytics
Why wrong: Cosmos DB is not ACID-compliant; SQL Database is not optimized for large-scale analytics.
- B
Azure SQL Database for transactions; Azure Synapse Analytics for analytics
Azure SQL Database is ACID-compliant; Synapse Analytics is for big data analytics.
- C
Azure Blob Storage for transactions; Azure Data Lake Storage for analytics
Why wrong: Blob Storage is not transactional; Data Lake Storage is for storage, not analytical querying.
- D
Azure Database for MySQL for transactions; Azure Analysis Services for analytics
Why wrong: MySQL is ACID-compliant but Analysis Services is not the primary analytics service.
DP-900 Describe core data concepts Practice Question
This DP-900 practice question tests your understanding of describe core data concepts. 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.
You design a data solution for an e-commerce platform. Transactional data must be stored with ACID compliance for order processing, while clickstream data from the website will be used for analytics. Which combination of Azure data services best meets these needs?
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.
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 SQL Database for transactions; Azure Synapse Analytics for analytics
Azure SQL Database provides full ACID compliance for transactional workloads like order processing, ensuring data integrity. Azure Synapse Analytics is optimized for large-scale analytics on clickstream data, offering massively parallel processing (MPP) and integration with data lakes. This combination separates OLTP and OLAP workloads efficiently.
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 for transactions; Azure SQL Database for analytics
Why it's wrong here
Cosmos DB is not ACID-compliant; SQL Database is not optimized for large-scale analytics.
- ✓
Azure SQL Database for transactions; Azure Synapse Analytics for analytics
Why this is correct
Azure SQL Database is ACID-compliant; Synapse Analytics is for big data analytics.
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 Blob Storage for transactions; Azure Data Lake Storage for analytics
Why it's wrong here
Blob Storage is not transactional; Data Lake Storage is for storage, not analytical querying.
- ✗
Azure Database for MySQL for transactions; Azure Analysis Services for analytics
Why it's wrong here
MySQL is ACID-compliant but Analysis Services is not the primary analytics service.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often assume Azure Cosmos DB (Option A) is ACID-compliant because it supports multi-document transactions within a single partition, but it does not guarantee full ACID across partitions, making it unsuitable for strict order processing.
Detailed technical explanation
How to think about this question
Azure Synapse Analytics uses a distributed query engine with control and compute nodes, enabling parallel execution of queries on petabyte-scale data. Under the hood, it leverages PolyBase to query data in Azure Data Lake Storage or Blob Storage without moving it. In a real-world e-commerce scenario, clickstream data can be ingested into Synapse via pipelines, while Azure SQL Database handles order transactions with row-level locking and snapshot isolation to prevent lost updates.
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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Describe core data concepts — study guide chapter
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FAQ
Questions learners often ask
What does this DP-900 question test?
Describe core data concepts — This question tests Describe core data concepts — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Azure SQL Database for transactions; Azure Synapse Analytics for analytics — Azure SQL Database provides full ACID compliance for transactional workloads like order processing, ensuring data integrity. Azure Synapse Analytics is optimized for large-scale analytics on clickstream data, offering massively parallel processing (MPP) and integration with data lakes. This combination separates OLTP and OLAP workloads efficiently.
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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Last reviewed: Jun 24, 2026
This DP-900 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DP-900 exam.
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