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Microsoft DP-420 Exam Syllabus Topics:

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

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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q78-Q83):

NEW QUESTION # 78
You have an Azure Cosmos DB for NoSQL account.
The change feed is enabled on a container named invoice.
You create an Azure function that has a trigger on the change feed.
What is received by the Azure function?

Answer: D

Explanation:
According to the Azure Cosmos DB documentation12, the change feed is a persistent record of changes to a container in the order they occur. The change feed outputs the sorted list of documents that were changed in the order in which they were modified.
The Azure function that has a trigger on the change feed receives all the properties of the updated items2. The change feed does not include the original items or only the changed properties. The change feed also includes some system-defined properties such as _ts (the last modified timestamp) and _lsn (the logical sequence number)3.
Therefore, the correct answer is: A. all the properties of the updated items


NEW QUESTION # 79
You plan to create an operational system that will store data in an Azure Cosmos DB Core (SQL) API account.
You need to configure the account to meet the following requirements:
- Support Spark queries.
- Support the analysis of data from the last six months.
- Only pay for analytical compute when running queries.
Which three actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

Answer: A,B,E


NEW QUESTION # 80
You plan to create an Azure Cosmos DB database named db1 that will contain two containers. One of the containers will contain blog posts, and the other will contain users. Each item in the blog post container will include:
* A single blog post
* All the comments associated to the blog post
* The names of the users who created the blog post and added the comments.
You need to design a solution to update usernames m the user container without causing data integrity issues.
The solution must minimize administrative and development effort. What should you include in the solution?
To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation


NEW QUESTION # 81
You have an Azure subscription. The subscription contains an Azure Cosmos DB for NoSQL account named account1 that uses strong consistency and is deployed to the East US, West US, and Central US Azure regions.
The round-trip time (RTT) between the regions is shown in the following table.

Which write latency should you estimate for write requests against account1?

Answer: A

Explanation:
Calculate two times the maximum round-trip time (RTT) + 10 ms overhead.
In this scenario this would be 2 x 136 ms + 10 ms, which is 282 ms.
Note: For an Azure Cosmos DB account with strong consistency and multiple regions, write latency is approximately two times the round-trip time (RTT) between the two farthest regions.
This is because a write must be committed to all regions to be considered complete, requiring the data to be sent to the farthest region and then confirmed back to the originating region.
Calculation and factors Core calculation: The write latency is essentially 2 x RTT + constanst overhead. For example, if the RTT between the two farthest regions is 50 ms, the write latency would be roughly 2 x 50 ms + overhead=100 ms + overhead.
Overhead: In practice, you must also add a small constant overhead, which is approximately 10 ms at the 99th percentile for strong consistency, to account for the time it takes for the write to be acknowledged after the data reaches all replicas.
Reference:
https://learn.microsoft.com/en-us/azure/networking/azure-network-latency


NEW QUESTION # 82
You plan to store order data in an Azure Cosmos DB for NoSQL account. The data contains information about orders and their associated items.
You need to develop a model that supports read operations for orders. The solution must minimize the number of requests.
What should you do?

Answer: A

Explanation:
By denormalizing data, your application may need to issue fewer queries and updates to complete common operations.
Typically denormalized data models provide better read performance.
Note: In general, use embedded data models when:
There are contained relationships between entities.
There are one-to-few relationships between entities.
There's embedded data that changes infrequently.
There's embedded data that will not grow without bound.
There's embedded data that is queried frequently together.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/sql/modeling-data


NEW QUESTION # 83
......

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