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This exam measures your ability to accomplish the following technical tasks: design and implement data models; design and implement data distribution; integrate an Azure Cosmos DB solution; optimize an Azure Cosmos DB solution; and maintain an Azure Cosmos DB solution.
Microsoft DP-420 Exam is a valuable certification for developers and architects who want to demonstrate their expertise in designing and implementing cloud-native applications using Microsoft Azure Cosmos DB. It is a challenging exam that requires a strong understanding of cloud computing and experience in developing cloud-native applications. However, passing the exam can lead to numerous career benefits and opportunities.
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NEW QUESTION # 146
You have a container in an Azure Cosmos DB for NoSQL account that stores data about orders.
The following is a sample of an order document.
Documents are up to 2 KB.
You plan to receive one million orders daily.
Customers will frequently view their past order history.
You are the evaluating whether to use order-Date as the partition key.
What are two effects of using order-Date as the partition key? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
Answer: C,D
NEW QUESTION # 147
You have a database in an Azure Cosmos DB for NoSQL account that is configured for multi-region writes.
You need to use the Azure Cosmos DB SDK to implement the conflict resolution policy for a container. The solution must ensure that any conflict sent to the conflict feed.
Solution: You set ConfilictResolutionMode to Custom and you use the default settings for the policy.
Does this meet the goal?
Answer: B
Explanation:
Setting ConflictResolutionMode to Custom and using the default settings for the policy will not ensure that conflicts are sent to the conflict feed. You need to define a custom stored procedure using the "conflictingItems" parameter to handle conflicts properly.
NEW QUESTION # 148
Hotspot Question
You have an Azure Cosmos DB for NoSQL account that contains a container named container1.
You plan to use container1 as a key-value store that will perform point reads on the item ID and partition key.
You need to define an indexing policy for container1. The solution must meet the following requirements:
- Provide the ability to set DefaultTimeToLive for container1.
- Minimize implementation time.
- Minimize costs.
How should you complete the JSON definition of the indexing policy? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 149
Which of the following is the most optimal method of managing referential integrity between different containers in Azure Cosmos DB?
Answer: B
Explanation:
The change feed APIs help in keeping the track of all the Insert and Updates on a container, creating a trigger depending upon the change feed, will allow the users to send those changes to other containers that also require those changes.
Option A is incorrect. Azure Cosmos DB functions don't modify data and their scope is limited only within the container they are defined in.
Option B is correct. Using an Azure Function trigger for Azure Cosmos DB to leverage the change feed processor to update the referenced containers is the most optimal way to manage referential integrity between different containers in Azure Cosmos DB.
Option C is incorrect. While it can be possible to add this logic to your app, adding the code to the application won't add complexity to your environment, but also it won't guarantee that any changes carried out outside of the app would be replicated to the other containers.
Option D is incorrect. Using an Azure Function trigger for Azure Cosmos DB to leverage the change feed processor to update the referenced containers is the most optimal method.
Reference:
https://docs.microsoft.com/en-us/learn/modules/advanced-modeling-patterns-azure-cosmos-db/4-manage-referential-integrity-with-change-feed
NEW QUESTION # 150
You are implementing an Azure Data Factory data flow that will use an Azure Cosmos DB (SQL API) sink to write a dataset. The data flow will use 2,000 Apache Spark partitions.
You need to ensure that the ingestion from each Spark partition is balanced to optimize throughput.
Which sink setting should you configure?
Answer: B
NEW QUESTION # 151
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