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Microsoft DP-420 Exam Syllabus Topics:

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

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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q45-Q50):

NEW QUESTION # 45
You configure a backup for an Azure Cosmos DB for NoSQL account as shown in the following exhibit.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 46
You have an Azure subscription that contains an Azure Cosmos DB for NoSQL account named account1.
For account 1, you plan to implement an integrated gateway that will use the D4s SKU.
You need to optimize integrated gateway performance for point reads from account1. The solution must meet the following requirements:
* For new point reads, maximize how long returned items remain in the integrated cache.
* For new and repeati ng point reads, maximize the cost benefits of the integrated cache.
What should you do for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:


NEW QUESTION # 47
Hotspot Question
You have an Azure Cosmos DB Core (SQL) API account named storage1 that uses provisioned throughput capacity mode.
The storage1 account contains the databases shown in the following table.

The databases contain the containers shown in the following table.

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:
Box 1: No
Four containers with 1000 RU/s each.
Box 2: No
Max 8000 RU/s for db2. 8 containers, so 1000 RU/s for each container.
Box 3: Yes
Max 8000 RU/s for db2. 8 containers, so 1000 RU/s for each container. Can very well add an additional container.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/plan-manage-costs
https://azure.microsoft.com/en-us/pricing/details/cosmos-db/


NEW QUESTION # 48
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: A

Explanation:
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 # 49
You have an Azure subscription. The subscription contains an Azure Cosmos DB for NoSQL account named account1 that hosts a container named Devices. Devices has a partition key named type.

You are evaluating the resource utilization of the query. How will the query be executed?

Answer: B


NEW QUESTION # 50
......

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