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Microsoft DP-420 Exam Syllabus Topics:

SectionWeightObjectives
Design and implement data distribution5-10%- Manage data distribution and failover
  • 1. Define failover priorities
  • 2. Manage regional availability
- Design replication strategy
  • 1. Implement multi-region write
  • 2. Configure multi-region replication
Optimize an Azure Cosmos DB solution15-20%- Define and implement indexing strategy
  • 1. Exclude or include properties
  • 2. Select index types and paths
- Optimize query performance
  • 1. Optimize throughput allocation
  • 2. Tune query structure and syntax
- Work with change feed
  • 1. Process changes incrementally
  • 2. Trigger downstream workflows
Design and implement data models35-40%- Plan sizing and scaling
  • 1. Select consistency levels
  • 2. Provision throughput and storage
- Design partitioning strategy
  • 1. Choose partition key based on workload
  • 2. Plan for distribution and throughput
- Implement connectivity and data access
  • 1. Write efficient SQL queries
  • 2. Use SDKs to connect and operate
- Design and implement non-relational data models
  • 1. Define primary and unique keys
  • 2. Configure time-to-live (TTL)
  • 3. Denormalize data across documents
  • 4. Embed related entities in documents
  • 5. Identify data and access patterns
  • 6. Store multiple entity types in one container
  • 7. Reference between documents
Integrate an Azure Cosmos DB solution5-10%- Integrate with Azure services
  • 1. Connect to Azure Stream Analytics
  • 2. Use with Azure Functions, Logic Apps, Event Hubs
- Enable analytical workloads
  • 1. Configure analytical store
  • 2. Use Synapse Link
Maintain an Azure Cosmos DB solution25-30%- Manage data movement
  • 1. Import/export data
  • 2. Migrate between APIs or regions
- Implement security
  • 1. Manage authentication and authorization
  • 2. Encrypt data at rest and in transit
- Monitor and troubleshoot
  • 1. Analyze metrics and logs
  • 2. Use Azure Monitor and Application Insights
- DevOps and automation
  • 1. Deploy via ARM, Bicep, CLI
  • 2. Automate operations
- Implement backup and restore
  • 1. Configure periodic backup
  • 2. Perform point-in-time restore

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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q114-Q119):

NEW QUESTION # 114
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 # 115
You have an Azure Cosmos DB for NoSQL account that frequently receives the same three queries.
You need to configure indexing to minimize RUs consumed by the queries.
Which type of index should you use for each query? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 116
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 for NoSQL as the input and Azure Blob Storage as the output.
Does this meet the goal?

Answer: A


NEW QUESTION # 117
You have an Azure Cosmos DB for NoSQL account named account1 that has a single read-write region and one additional read region. Account1 uses the strong default consistency level.
You have an application that uses the eventual consistency level when submitting requests to account1.
How will writes from the application be handled?

Answer: A

Explanation:
Explanation
This is because the write concern is mapped to the default consistency level configured on your Azure Cosmos DB account, which is strong in this case. Strong consistency ensures that every write operation is synchronously committed to every region associated with your Azure Cosmos DB account. The eventual consistency level that the application uses only applies to the read operations. Eventual consistency offers higher availability and better performance, but it does not guarantee the order or latency of the reads.


NEW QUESTION # 118
Hotspot Question
You have an Azure subscription that contains an Azure Cosmos DB for NoSQL account. The account hosts a container named Container1 that stores product inventory data in the following format.

You need to query the average inventory quantity of each product in Washington, including the product name.
How should you complete the query? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 119
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