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Microsoft DP-420 Exam Syllabus Topics:

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

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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q199-Q204):

NEW QUESTION # 199
You have three containers in an Azure Cosmos DB Core (SQL) API account as shown in the following table.

You have the following Azure functions:
A function named Fn1 that reads the change feed of cn1
A function named Fn2 that reads the change feed of cn2
A function named Fn3 that reads the change feed of cn3
You perform the following actions:
Delete an item named item1 from cn1.
Update an item named item2 in cn2.
For an item named item3 in cn3, update the item time to live to 3,600 seconds.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation

Box 1: No
Azure Cosmos DB's change feed is a great choice as a central data store in event sourcing architectures where all data ingestion is modeled as writes (no updates or deletes).
Note: The change feed does not capture deletes. If you delete an item from your container, it is also removed from the change feed. The most common method of handling this is adding a soft marker on the items that are being deleted. You can add a property called "deleted" and set it to "true" at the time of deletion. This document update will show up in the change feed. You can set a TTL on this item so that it can be automatically deleted later.
Box 2: No
The _etag format is internal and you should not take dependency on it, because it can change anytime.
Box 3: Yes
Change feed support in Azure Cosmos DB works by listening to an Azure Cosmos container for any changes.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/sql/change-feed-design-patterns
https://docs.microsoft.com/en-us/azure/cosmos-db/change-feed


NEW QUESTION # 200
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 sett 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 conlainer1 in an Azure Cosmos DB for NoSQL account.
You need to make the contents of container1 available as reference data for an Azure Stream Analytics job.
Solution: You create an Azure function to copy data to another Azure Cosmos DB for NoSQL container.
Does this meet the goal?

Answer: A


NEW QUESTION # 201
You configure Azure Cognitive Search to index a container in an Azure Cosmos DB Core (SQL) API 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 # 202
Hotspot Question
You have a container in an Azure Cosmos DB for NoSQL account. The database that has a manual throughput of 30,000 request units per second (RU/s).
The current consumption details are shown in the following chart.

Use the drop-down menus to select the answer choice that answers each question based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Box 1: 5000 RU/s
You get this by dividing 30000 RU/s by 6 physical partitions.
Box 2: 60000 RU/s
The highest RU/s you can scale to without triggering Azure Cosmos DB to split partitions is equal to Current number of physical partitions * 10,000 RU/s.
https://learn.microsoft.com/en-us/azure/cosmos-db/scaling-provisioned-throughput-best-practices#step-2-calculate-the-default-maximum-throughput


NEW QUESTION # 203
You have an Azure subscription that contains an Azure Cosmos DB for NoSQL account named account1.
You plan to configure the Apache Kafka service as a data source for account1.
What should you use to store the Kafka configuration?

Answer: A

Explanation:
Store and use Azure Cosmos DB credentials with Azure Key Vault
If you're using Azure Cosmos DB as your database, you connect to databases, container, and items by using an SDK, the API endpoint, and either the primary or secondary key.
It's not a good practice to store the endpoint URI and sensitive read-write keys directly within application code or configuration file. Ideally, this data is read from environment variables within the host. In Azure App Service, app settings allow you to inject runtime credentials for your Azure Cosmos DB account without the need for developers to store these credentials in an insecure clear text manner.
Azure Key Vault iterates on this best practice further by allowing you to store these credentials securely while giving services like Azure App Service managed access to the credentials. Azure App Service will securely read your credentials from Azure Key Vault and inject those credentials into your running application.
Reference:
https://learn.microsoft.com/en-us/azure/cosmos-db/store-credentials-key-vault


NEW QUESTION # 204
......

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