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Microsoft DP-420 Exam Syllabus Topics:

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

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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q158-Q163):

NEW QUESTION # 158
You have a database in an Azure Cosmos DB SQL API Core (SQL) account that is used for development.
The database is modified once per day in a batch process.
You need to ensure that you can restore the database if the last batch process fails. The solution must minimize costs.
How should you configure the backup settings? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 159
You have an Azure Cosmos DB for NoSQL database that hosts the containers shown in the following table.

You need to ensure that when a product name changes in the Products container, the product name changes in all orders that have NOT been shipped.
What should you implement?

Answer: B


NEW QUESTION # 160
You have an Azure subscription that contains the resources shown in the following table.

You need to create a container in db1 that has the following attributes:
* Name: Contained
* Encryption: Client-side encryption with Always Encrypted
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:

Explanation:

Explanation:


NEW QUESTION # 161
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 # 162
You plan to deploy two Azure Cosmos DB Core (SQL) API accounts that will each contain a single database.
The accounts will be configured as shown in the following table.

How should you provision the containers within each account to minimize costs? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

Box 1: Serverless capacity mode
Azure Cosmos DB serverless best fits scenarios where you expect intermittent and unpredictable traffic with long idle times. Because provisioning capacity in such situations isn ' t required and may be cost-prohibitive, Azure Cosmos DB serverless should be considered in the following use-cases:
Getting started with Azure Cosmos DB
Running applications with bursty, intermittent traffic that is hard to forecast, or low ( < 10%) average-to-peak traffic ratio Developing, testing, prototyping and running in production new applications where the traffic pattern is unknown Integrating with serverless compute services like Azure Functions Box 2: Provisioned throughput capacity mode and autoscale throughput The use cases of autoscale include:
Variable or unpredictable workloads: When your workloads have variable or unpredictable spikes in usage, autoscale helps by automatically scaling up and down based on usage. Examples include retail websites that have different traffic patterns depending on seasonality; IOT workloads that have spikes at various times during the day; line of business applications that see peak usage a few times a month or year, and more. With autoscale, you no longer need to manually provision for peak or average capacity.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/serverless
https://docs.microsoft.com/en-us/azure/cosmos-db/provision-throughput-autoscale#use-cases-of-autoscale


NEW QUESTION # 163
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