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| Section | Weight | Objectives |
|---|
| Maintain an Azure Cosmos DB solution | 25-30% | - Monitor and troubleshoot Azure Cosmos DB solutions
- 1. Implement backup and recovery strategies
- 2. Monitor performance and availability
- 3. Monitor metrics and logs
- 4. Troubleshoot throughput issues
|
| Design and implement data models | 35-40% | - Design and implement a non-relational data model for Azure Cosmos DB for NoSQL
- 1. Identify partition key, id, and unique keys
- 2. Identify data and associated access patterns
- 3. Reference between documents
- 4. Denormalize data across documents
- 5. Store multiple entity types in the same container
- 6. Store multiple related entities in the same document
- Implement server-side programming
- 1. Implement triggers
- 2. Implement user-defined functions
- 3. Write and deploy stored procedures
- Implement client connectivity options
- 1. Configure client-side threading and logging
- 2. Choose gateway or direct connectivity mode
- 3. Use Azure Cosmos DB emulator
- 4. Create database connections
- 5. Implement singleton client
- 6. Handle connection errors
- Design a data partitioning strategy
- 1. Evaluate throughput and data distribution
- 2. Plan for transactions with partition keys
- 3. Choose a partition key
- 4. Implement synthetic partition keys
- 5. Evaluate cross-partition query cost
- 6. Choose a partitioning strategy
- Implement data access
- 1. Use SDKs for CRUD operations
- 2. Implement SQL queries with arrays and aggregation
- 3. Implement optimistic concurrency control
- 4. Implement patch operations
- 5. Manage transactional batch operations
- 6. Use consistency and query request options
- Plan and implement sizing and scaling
- 1. Configure throughput
- 2. Design resource governance and scaling
- 3. Evaluate global distribution costs
- 4. Evaluate throughput and storage requirements
- 5. Choose between serverless, provisioned, and free tier
|
| Design and implement data distribution | 5-10% | - 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. Perform manual failovers
- 2. Choose when to distribute data
- 3. Evaluate consistency model impacts
- 4. Choose a consistency model
- 5. Define automatic failover policies
|
| Optimize an Azure Cosmos DB solution | 15-20% | - Define and implement indexing strategy
- 1. Configure custom indexing policies
- 2. Choose read-heavy or write-heavy indexing
- 3. Choose appropriate index types
- 4. Optimize index performance
- 5. Implement composite indexes
- Optimize query performance
- 1. Adjust indexing policies
- 2. Retrieve request unit cost
- 3. Calculate query cost
- 4. Implement integrated cache
- Design and implement change feeds
- 1. Consume change feeds using SDK
- 2. Implement aggregation persistence
- 3. Develop Azure Functions triggers
- 4. Manage change feed instances
|
| Integrate an Azure Cosmos DB solution | 5-10% | - Implement solutions across services
- 1. Use Change Feed for denormalization
- 2. Aggregate and archive data
- 3. Enforce referential integrity
- 4. Integrate Azure Functions and Event Hubs
- 5. Implement Azure AI Search integration
- 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
|
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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q92-Q97):
NEW QUESTION # 92
You have an Azure Cosmos DB for NoSQL account named accounts1.
You plan to implement the integrated cache for account1.
You need to configure the connectivity mode and the consistency level for requests that target account1. The solution must maximize consistency while using the integrated cache.
What should you configure? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:

NEW QUESTION # 93
You have an on-premises network.
You have an Azure subscription that contains an Azure Cosmos DB account named account1 and an Azure virtual network named VNet1. VNet1 contains two virtual machines named VM1 and VM2. VNet1 is connected to the on-premises network by using a Site-to-Site (S2S) VPN.
You need to meet the following requirements:
* Block access to the public endpoint of account1.
* Allow only VM1 to access account1.
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 # 94
You plan to create an Azure Cosmos DB account that will use an integrated cache. What will prevent you from using an integrated cache?
- A. availability zones
- B. Azure Private Link
- C. a default consistency level of Session
- D. a user-assigned managed identity
Answer: B
Explanation:
Integrated cache in Azure Cosmos DB cannot be used in conjunction with Azure Private Link.
Private Link provides a private endpoint for securely accessing Azure services without exposing them to the public internet, but it currently does not support integration with the Cosmos DB integrated cache.
NEW QUESTION # 95
You have an Azure subscription.
You need to deploy the following resources to an Azure Cosmos DB for NoSQL account:
* A container
* A user-defined function (UDF)
The solution must minimize the possibility of the deployment failing.
How should you complete the template? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:

NEW QUESTION # 96
You have an Azure subscription. The subscription contains an Azure Cosmos DB for NoSQL account named account1 that hosts a container named Container1. Container1 has a provisioned throughput of 100 request units per second (RU/s) and uses a single physical partition.
You are evaluating the available throughput for Container1.
What is the maximum burst capacity that Container1 can accumulate?
- A. 300 RU/s
- B. 100,000 RU/s
- C. 1,000 RU/s
- D. 30,000 RU/s
Answer: A
Explanation:
Azure Cosmos DB containers can accumulate burst capacity when they are under-utilized.
Containers that have provisioned throughput and are using a single physical partition can accumulate up to 5 minutes' worth of their provisioned throughput in burst capacity, up to a maximum of 300 RU/s per physical partition.
Given that Container1 has a provisioned throughput of 100 RU/s and uses a single physical partition, it can accumulate up to 300 RU/s in burst capacity (3 times the provisioned throughput).
This burst capacity can be used during short periods of increased load when the container needs more throughput than is provisioned.
NEW QUESTION # 97
......
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