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Among the accreditations an IT engineer can chase in 2026, the Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB is one of the smartest. Prep4away backs your chase with 281 practice questions.
Microsoft DP-420 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Optimize and maintain Cosmos DB solutions | - Performance optimization
|
| Integrate Azure Cosmos DB with Azure services | - Data pipelines and analytics
|
| Design and implement data models for Azure Cosmos DB | - Design indexing strategies
|
| Design and implement data distribution | - Partitioning and scaling
|
Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Exam — FAQ
100-120, 40-60 (approx.) questions — that's your time budget. Rehearse it: the Prep4away online engine runs simulation tests with automatic settings, so pacing becomes trained, not lucky.
Files arrive first: our system emails your purchase within a minute of successful payment — unlimited installations, and 24/7 support if nothing shows up within 2 hours (check spam). Failure is covered too: take the corresponding DP-420 exam within 60 days of purchase, and if you don't pass, submit a scanned enrollment slip plus the official Score Report PDF within 2 days of the exam for a full refund, processed within 7 days. Exclusions: exams within 3 days of purchase, candidate names that don't match the payer, and free or expired products. You can also choose a free replacement — two other products of equal value.
No mandatory prerequisites. Recommended: experience with Azure development and NoSQL databases, especially Cosmos DB. Eligibility rules change from time to time, so confirm the current requirements on the official page (official DP-420 exam page) before booking.
Book through the vendor's official channels:
The Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB is delivered Online proctored (Pearson VUE) or in-person at authorized test centers — pick whichever arrangement fits you.
The Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB blueprint spans 4 domains — including Design and implement data models for Azure Cosmos DB, Optimize and maintain Cosmos DB solutions, Integrate Azure Cosmos DB with Azure services. The weightings are your study map: allocate hours where the points are. Every subtopic appears in the outline above.
$165 USD (may vary by region) per attempt, 700 / 1000 to pass. Cost-effective preparation matters here: the 281 practice questions for the Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB cost a fraction of one retake.
Yes:
Training covers theory; our questions build test readiness. After any course, drill with the 281 practice questions for the Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB — the analyses make every wrong answer a lesson.
Yes — download the free DP-420 demo before buying and assess the quality and reliability yourself; it's the best way to avoid wasting money on bootless material. Purchases include 365 days of free updates, renewable later at half price.
The Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB is Microsoft's certification exam for Azure Cosmos DB Developer Specialty (DP-420), at the Professional (Specialty) level. Passing it demonstrates proficiency with specific technologies — a credential employers from small business to enterprise recognize. Related credentials include Microsoft Certified: Azure Developer Associate (AZ-204), Microsoft Certified: Azure Solutions Architect Expert (AZ-305).
Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions:
Drag and Drop Question
You have an Azure Cosmos DB for NoSQL database that hosts a container named Container1.
Container1 stores customer documents that have the following structure.
You need to retrieve the city of residence and the age of each customer who is older than 40.
Which three statements should you run in sequence to build the query? To answer, move the appropriate statements from the list of statements to the answer area and arrange them in the correct order.
Correct Answer:

Hotspot Question
You plan to deploy two Azure Cosmos DB Core (SQL) API accounts that will each contain a single database. The accounts will be configured as shown in the following table.
How should you provision the containers within each account to minimize costs? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:

Explanation:
Box 1: Serverless capacity mode
Azure Cosmos DB serverless best fits scenarios where you expect intermittent and unpredictable traffic with long idle times. Because provisioning capacity in such situations isn't required and may be cost-prohibitive, Azure Cosmos DB serverless should be considered in the following use- cases:
Getting started with Azure Cosmos DB
Running applications with bursty, intermittent traffic that is hard to forecast, or low (<10%) average-to-peak traffic ratio Developing, testing, prototyping and running in production new applications where the traffic pattern is unknown Integrating with serverless compute services like Azure Functions Box 2: Provisioned throughput capacity mode and autoscale throughput The use cases of autoscale include:
Variable or unpredictable workloads: When your workloads have variable or unpredictable spikes in usage, autoscale helps by automatically scaling up and down based on usage. Examples include retail websites that have different traffic patterns depending on seasonality; IOT workloads that have spikes at various times during the day; line of business applications that see peak usage a few times a month or year, and more. With autoscale, you no longer need to manually provision for peak or average capacity.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/serverless
https://docs.microsoft.com/en-us/azure/cosmos-db/provision-throughput-autoscale#use-cases-of-autoscale
Hotspot Question
You plan to create a container named Container1 in an Azure Cosmos DB for NoSQL account.
Container1 will store items that contain user sign-in session data from multiple organizations.
Each user is assigned to a single organization.
Container1 will include the following properties:
- UserId
- SessionId
- SessionStart
- OrganizationID
The following are common queries served by Container1.
SELECT SessionID,SessionStart,UserID FROM c WHERE OrganizationId = 6 AND UserId =
50143
SELECT SessionID,SessionStart,UserID FROM c WHERE OrganizationId = 6
You need to recommend a partitioning scheme for Container1 that meets the following requirements:
- Maximizes performance
- Minimizes the cost of read queries
- Minimizes the possibility of reaching the partition size limits
Which type of partition key and which partition key properties should you include in the recommendation? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a container named container1 in an Azure Cosmos DB Core (SQL) API account.
You need to make the contents of container1 available as reference data for an Azure Stream Analytics job.
Solution: You create an Azure Data Factory pipeline that uses Azure Cosmos DB for NoSQL as the input and Azure Blob Storage as the output.
Does this meet the goal?
- A. Yes
- B. No
Correct Answer: B 🗳️
You have an Azure Cosmos DB for NoSQL database named db1 that is monitored by using Azure Monitor.
You need to identify the operations that have the highest throughput.
Which metric should you use?
- A. Data Usage
- B. Total Request Units
- C. Index Usage
- D. Autoscale Max Throughput
Correct Answer: B 🗳️
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