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Microsoft DP-420 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Integrate an Azure Cosmos DB solution5-10%- Implement solutions across services
  • 1. Use Change Feed for denormalization
  • 2. Implement Azure AI Search integration
  • 3. Integrate Azure Functions and Event Hubs
  • 4. Aggregate and archive data
  • 5. Enforce referential integrity
- Enable analytical workloads
  • 1. Write data back from Spark
  • 2. Configure Azure Cosmos DB Mirroring
  • 3. Query analytical store from Synapse
  • 4. Enable analytical store
Topic 2: Optimize an Azure Cosmos DB solution15-20%- Define and implement indexing strategy
  • 1. Optimize index performance
  • 2. Implement composite indexes
  • 3. Configure custom indexing policies
  • 4. Choose read-heavy or write-heavy indexing
  • 5. Choose appropriate index types
- Optimize query performance
  • 1. Retrieve request unit cost
  • 2. Calculate query cost
  • 3. Adjust indexing policies
  • 4. Implement integrated cache
- Design and implement change feeds
  • 1. Develop Azure Functions triggers
  • 2. Consume change feeds using SDK
  • 3. Manage change feed instances
  • 4. Implement aggregation persistence
Topic 3: Maintain an Azure Cosmos DB solution25-30%- Monitor and troubleshoot Azure Cosmos DB solutions
  • 1. Monitor performance and availability
  • 2. Implement backup and recovery strategies
  • 3. Troubleshoot throughput issues
  • 4. Monitor metrics and logs
Topic 4: Design and implement data models35-40%- Implement client connectivity options
  • 1. Create database connections
  • 2. Configure client-side threading and logging
  • 3. Choose gateway or direct connectivity mode
  • 4. Use Azure Cosmos DB emulator
  • 5. Handle connection errors
  • 6. Implement singleton client
- Design and implement a non-relational data model for Azure Cosmos DB for NoSQL
  • 1. Reference between documents
  • 2. Identify data and associated access patterns
  • 3. Store multiple entity types in the same container
  • 4. Identify partition key, id, and unique keys
  • 5. Store multiple related entities in the same document
  • 6. Denormalize data across documents
- Design a data partitioning strategy
  • 1. Implement synthetic partition keys
  • 2. Choose a partitioning strategy
  • 3. Choose a partition key
  • 4. Evaluate cross-partition query cost
  • 5. Evaluate throughput and data distribution
  • 6. Plan for transactions with partition keys
- Implement server-side programming
  • 1. Implement user-defined functions
  • 2. Implement triggers
  • 3. Write and deploy stored procedures
- Implement data access
  • 1. Implement optimistic concurrency control
  • 2. Implement SQL queries with arrays and aggregation
  • 3. Manage transactional batch operations
  • 4. Use consistency and query request options
  • 5. Implement patch operations
  • 6. Use SDKs for CRUD operations
- Plan and implement sizing and scaling
  • 1. Choose between serverless, provisioned, and free tier
  • 2. Evaluate throughput and storage requirements
  • 3. Evaluate global distribution costs
  • 4. Design resource governance and scaling
  • 5. Configure throughput
Topic 5: Design and implement data distribution5-10%- Design and implement replication strategy
  • 1. Perform manual failovers
  • 2. Define automatic failover policies
  • 3. Choose when to distribute data
  • 4. Evaluate consistency model impacts
  • 5. Choose a consistency model
- Design and implement multi-region writes
  • 1. Implement conflict resolution policies
  • 2. Choose when to use multi-region writes
  • 3. Implement multi-region writes

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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q55-Q60):

NEW QUESTION # 55
You are designing an Azure Cosmos DB for NoSQL solution to store data from IoT devices.
Writes from the devices will occur every second. Data will be retained indefinitely.
The following is a sample of the data.

You need to select a partition key that meets the following requirements for writes:
- Minimizes the partition skew
- Avoids capacity limits
- Avoids hot partitions
What should you do?

Answer: D

Explanation:
To minimize partition skew and avoid the 20 GB logical partition limit for an IoT workload, you should use Hierarchical Partition Keys.
This modern feature allows you to define up to three partition keys, creating a sub-partitioning structure that scales beyond a single device's data limits.
The Optimal Key Structure
For your specific data, the best practice is a 2-level hierarchy:
Level 1: deviceID
Ensures high cardinality (thousands of unique values).
Groups data logically for device-specific queries.
Level 2: timestamp (truncated to Day or Month)
Prevents any single device from hitting the 20 GB logical partition limit over time.
A device reporting every second generates ~86,400 records/day; adding a date suffix ensures the
"logical partition" resets each period.
Reference:
https://learn.microsoft.com/en-us/azure/cosmos-db/design-partitioning-iot


NEW QUESTION # 56
You have an Azure Cosmos DB for NoSQL container. The container contains items that have the following properties.

You need to protect the data stored in the container by using Always Encrypted. For each property, you must use the strongest type of encryption and ensure that queries execute properly.
What is the strongest type of encryption that you can apply to each property? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Box 1 = Randomized
Box 2 = Deterministic
Always Encrypted for Azure Cosmos DB supports two types of encryption: deterministic and randomized1.
Deterministic encryption always produces the same encrypted value for any given plain text value.
Randomized encryption produces a different encrypted value for the same plain text value.
For dateOfBirth, randomized encryption is the strongest type of encryption because it provides better protection against statistical analysis and brute-force attacks. Deterministic encryption would not be suitable for dateOfBirth because it could reveal patterns or allow equality comparisons1.
For healthStatus, deterministic encryption is the strongest type of encryption because it allows queries to perform equality comparisons and filters on the encrypted property. Randomized encryption would not be suitable for healthStatus because it would prevent any queries on the encrypted property1.


NEW QUESTION # 57
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 Synapse pipeline that uses Azure Cosmos DB Core (SQL) API as the input and Azure Blob Storage as the output.
Does this meet the goal?

Answer: B

Explanation:
Instead create an Azure function that uses Azure Cosmos DB Core (SQL) API change feed as a trigger and Azure event hub as the output.
The Azure Cosmos DB change feed is a mechanism to get a continuous and incremental feed of records from an Azure Cosmos container as those records are being created or modified. Change feed support works by listening to container for any changes. It then outputs the sorted list of documents that were changed in the order in which they were modified.
The following diagram represents the data flow and components involved in the solution:

Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/sql/changefeed-ecommerce-solution


NEW QUESTION # 58
You have a database in an Azure Cosmos DB for NoSQL account that is configured for multi-region writes.
You need to use the Azure Cosmos DB SDK to implement the conflict resolution policy for a container. The solution must ensure that any conflict sent to the conflict feed.
Solution: You set ConfilictResolutionMode to Custom and you use the default settings for the policy.
Does this meet the goal?

Answer: B

Explanation:
Setting ConflictResolutionMode to Custom and using the default settings for the policy will not ensure that conflicts are sent to the conflict feed. You need to define a custom stored procedure using the
"conflictingItems" parameter to handle conflicts properly.


NEW QUESTION # 59
Vou have an Azure subscription. The subscription contains an Azure Cosmos DB for NoSQL account named account1 that hosts a container named Customers. Multi-region writes are allowed.
You execute the following C# code.

For each of the following statements, Select Yes if the statement is true, Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:


NEW QUESTION # 60
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