- A
Increase the provisioned RU/s on the container to handle both transactional and analytical queries.
Why wrong: Increasing RU/s does not isolate workloads; analytical queries still compete with transactional.
- B
Change the partition key to /date to optimize for analytical queries.
Why wrong: Changing partition key would negatively impact transactional queries by customerId.
- C
Create a materialized view using the change feed and store aggregated data in a separate container.
Why wrong: Materialized views require custom code and still consume transactional RUs for updates.
- D
Enable the Azure Cosmos DB analytical store (Synapse Link) and query the data using Azure Synapse Serverless SQL.
Analytical store provides a separate columnar store for efficient analytical queries.
Quick Answer
The correct answer is to enable the Azure Cosmos DB analytical store (Synapse Link) and query the data using Azure Synapse Serverless SQL. This is correct because the analytical store is a fully isolated, column-oriented store that automatically synchronizes your transactional data, enabling you to run large-scale aggregations—like summing transactions by date across all customers—without consuming any request units (RUs) from the transactional workload. On the DP-203 exam, this scenario tests your understanding of hybrid transactional/analytical processing (HTAP) and the critical distinction between the transactional store (row-based, RU-bound) and the analytical store (columnar, RU-free). A common trap is to suggest increasing RUs or using change feed, but those impact the transactional workload or add latency; Synapse Link is the only solution that completely offloads analytics. Memory tip: think of Synapse Link as a “read-only copy for heavy lifting”—it lets you query big data without touching your live transaction engine.
DP-203 Design and implement data storage Practice Question
This DP-203 practice question tests your understanding of design and implement data storage. 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 are a data engineer at a financial services company. The company uses Azure Cosmos DB for NoSQL to store customer transaction data. The data is partitioned by customerId. The application team needs to run analytical queries that aggregate transactions by date across all customers. These queries are currently slow and consume high RUs. You need to enable faster analytical queries without impacting the transactional workload. What should you do?
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
Enable the Azure Cosmos DB analytical store (Synapse Link) and query the data using Azure Synapse Serverless SQL.
Option D is correct because enabling the Azure Cosmos DB analytical store (Synapse Link) creates a separate column-oriented store optimized for large-scale analytical queries without consuming RUs from the transactional workload. By querying this analytical store using Azure Synapse Serverless SQL, you can run fast aggregations across all customers by date while the transactional container remains unaffected.
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.
- ✗
Increase the provisioned RU/s on the container to handle both transactional and analytical queries.
Why it's wrong here
Increasing RU/s does not isolate workloads; analytical queries still compete with transactional.
- ✗
Change the partition key to /date to optimize for analytical queries.
Why it's wrong here
Changing partition key would negatively impact transactional queries by customerId.
- ✗
Create a materialized view using the change feed and store aggregated data in a separate container.
Why it's wrong here
Materialized views require custom code and still consume transactional RUs for updates.
- ✓
Enable the Azure Cosmos DB analytical store (Synapse Link) and query the data using Azure Synapse Serverless SQL.
Why this is correct
Analytical store provides a separate columnar store for efficient analytical queries.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may think increasing RU/s or changing the partition key is a simpler fix, but the DP-203 exam specifically tests the understanding that analytical workloads must be isolated from transactional workloads using a dedicated analytical store like Synapse Link.
Detailed technical explanation
How to think about this question
The Azure Cosmos DB analytical store uses a columnar storage format (Parquet) and is automatically synchronized from the transactional store via the change feed, enabling sub-second queries on large datasets without impacting transactional RUs. Under the hood, Synapse Serverless SQL uses a distributed query engine that pushes down filters and aggregations to the analytical store's columnar format, achieving significantly lower latency and cost compared to querying the transactional store directly. In a real-world scenario with millions of transactions per day, this approach allows the application team to run daily revenue reports across all customers without any performance degradation to the live transaction processing.
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
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
What to study next
Got this wrong? Here's your next step.
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Design and implement data storage — study guide chapter
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FAQ
Questions learners often ask
What does this DP-203 question test?
Design and implement data storage — This question tests Design and implement data storage — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Enable the Azure Cosmos DB analytical store (Synapse Link) and query the data using Azure Synapse Serverless SQL. — Option D is correct because enabling the Azure Cosmos DB analytical store (Synapse Link) creates a separate column-oriented store optimized for large-scale analytical queries without consuming RUs from the transactional workload. By querying this analytical store using Azure Synapse Serverless SQL, you can run fast aggregations across all customers by date while the transactional container remains unaffected.
What should I do if I get this DP-203 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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Last reviewed: Jun 24, 2026
This DP-203 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-203 exam.
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