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Microsoft DP-420 Exam Syllabus Topics:

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

>> Valid DP-420 Exam Syllabus <<

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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q93-Q98):

NEW QUESTION # 93
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 comparisons 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 # 94
You have an Azure Cosmos DB for NoSQL database that hosts the containers shown in the following table.

You need to ensure that when a product name changes in the Products container, the product name changes in all orders that have NOT been shipped.
What should you implement?

Answer: C


NEW QUESTION # 95
You are troubleshooting the current issues caused by the application updates.
Which action can address the application updates issue without affecting the functionality of the application?

Answer: C

Explanation:
Bounded staleness is frequently chosen by globally distributed applications that expect low write latencies but require total global order guarantee. Bounded staleness is great for applications featuring group collaboration and sharing, stock ticker, publish-subscribe/queueing etc.
Scenario: Application updates in con-product frequently cause HTTP status code 429 "Too many requests". You discover that the 429 status code relates to excessive request unit (RU) consumption during the updates.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/consistency-levels


NEW QUESTION # 96
You develop an application that uses Azure Cosmos DB Core (SQL) API.
You create an Azure pipeline to build and deploy the application.
You need to change the pipeline to run integration tests that you wrote for the application. The solution must execute entirely in the pipeline.
What should you add to the pipeline?

Answer: B


NEW QUESTION # 97
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 an Azure Cosmos DB Core (SQL) API account named account 1 that uses autoscale throughput.
You need to run an Azure function when the normalized request units per second for a container in account1 exceeds a specific value.
Solution: You configure an application to use the change feed processor to read the change feed and you configure the application to trigger the function.
Does this meet the goal?

Answer: A

Explanation:
Instead configure an Azure Monitor alert to trigger the function.
You can set up alerts from the Azure Cosmos DB pane or the Azure Monitor service in the Azure portal.


NEW QUESTION # 98
......

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