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Microsoft DP-420 Exam Syllabus Topics:

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

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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q136-Q141):

NEW QUESTION # 136
You need to identify which connectivity mode to use when implementing App2. The solution must support the planned changes and meet the business requirements.
Which connectivity mode should you identify?

Answer: A

Explanation:
Scenario: Develop an app named App2 that will run from the retail stores and query the data in account2.
App2 must be limited to a single DNS endpoint when accessing account2.
By using Azure Private Link, you can connect to an Azure Cosmos account via a private endpoint. The private endpoint is a set of private IP addresses in a subnet within your virtual network.
When you're using Private Link with an Azure Cosmos account through a direct mode connection, you can use only the TCP protocol. The HTTP protocol is not currently supported.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/how-to-configure-private-endpoints


NEW QUESTION # 137
You plan to store order data in Azure Cosmos DB for NoSQL account. The data contains information about orders and their associated items.
You need to develop a model that supports order read operations. The solution must minimize the number or requests.

Answer: C

Explanation:
Explanation
Azure Cosmos DB is a multi-model database that supports various data models, such as documents, key-value, graph, and column-family3. The core content-model of Cosmos DB's database engine is based on atom-record-sequence (ARS), which allows it to store and query different types of data in a flexible and efficient way3.
To develop a model that supports order read operations and minimizes the number of requests, you should consider the following factors:
The size and shape of your data
The frequency and complexity of your queries
The latency and throughput requirements of your application
The trade-offs between storage efficiency and query performance
Based on these factors, one possible model that you could implement is B. Create a single database that contains one container. Create a separate document for each order and embed the order items into the order documents.
This model has the following advantages:
It stores orders and order items as self-contained documents that can be easily retrieved by order ID1.
It avoids storing redundant data or creating additional containers for order items1.
It allows you to view the order history of a customer with simple queries1.
It leverages the benefits of embedding data, such as reducing the number of requests, improving query performance, and simplifying data consistency2.
This model also has some limitations, such as:
It may not be suitable for some order items that have data that is greater than 2 KB, as it could exceed the maximum document size limit of 2 MB2.
It may not be optimal for scenarios where order items need to be queried independently from orders or aggregated by other criteria2.
It may not support transactions across multiple orders or customers, as transactions are scoped to a single logical partition2.
Depending on your specific use case and requirements, you may need to adjust this model or choose a different one. For example, you could use a hybrid data model that combines embedding and referencing data2
, or you could use a graph data model that expresses entities and relationships as vertices and edges.


NEW QUESTION # 138
You are developing a web app named App1 that will store customer-generated content in an Azure Cosmos DB for NoSQL database named DB1.
You configure an Azure Al Search indexer to automatically ingest documents from DB1 into an Azure Al Search index.
App1 uses REST APIs to provide advanced search and retrieval capabilities for the documents.
You need to identify which types of queries you can use in Azure Al Search to retrieve text data. The solution must minimize development effort Which two query types can you use? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

Answer: A,E


NEW QUESTION # 139
The settings for a container in an Azure Cosmos DB Core (SQL) API account are configured as shown in the following exhibit.

Which statement describes the configuration of the container?

Answer: C

Explanation:
When DefaultTimeToLive is -1 then your Time to Live setting is On (No default) Time to Live on a container, if present and the value is set to "-1", it is equal to infinity, and items don't expire by default.
Time to Live on an item:
This Property is applicable only if DefaultTimeToLive is present and it is not set to null for the parent container.
If present, it overrides the DefaultTimeToLive value of the parent container.


NEW QUESTION # 140
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 for NoSQL account named account1 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 the function to have an Azure Cosmos DB trigger.
Does this meet the goal?

Answer: B

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.
Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/create-alerts


NEW QUESTION # 141
......

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