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100% Pass Quiz 2025 Microsoft DP-420: Efficient Test Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Dump

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The DP-420 Exam covers a wide range of topics, including designing and implementing Cosmos DB data models, selecting appropriate Cosmos DB APIs, designing Cosmos DB partitions and scalability, implementing server-side programming with Cosmos DB, designing and implementing Cosmos DB security, and designing and implementing Cosmos DB backup and restore strategies.

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For the Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB (DP-420) web-based practice exam no special software installation is required. Because it is a browser-based Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB (DP-420) practice test. The web-based Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB (DP-420) practice exam works on all operating systems like Mac, Linux, iOS, Android, and Windows.

Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q46-Q51):

NEW QUESTION # 46
You maintain a relational database for a book publisher. The database contains the following tables.

The most common query lists the books for a given authorId.
You need to develop a non-relational data model for Azure Cosmos DB Core (SQL) API that will replace the relational database. The solution must minimize latency and read operation costs.
What should you include in the solution?

A. Create a container for Author and a container for Book. In each Author document, embed booked for each book by the author. In each Book document embed author of each author.
B. Create Author, Book, and Bookauthorlnk documents in the same container.
C. Create a container for Author and a container for Book. In each Author document and Book document embed the data from Bookauthorlnk.
D. Create a container that contains a document for each Author and a document for each Book. In each Book document, embed authorId.

Answer: A

Explanation:
Explanation
Store multiple entity types in the same container.

NEW QUESTION # 47
You need to create a data store for a directory of small and medium-sized businesses (SMBs). The data store must meet the following requirements:
* Store companies and the users employed by them. Each company will have less than 1,000 users.
* Some users have data that is greater than 2 KB.
* Associate each user to only one company.
* Provide the ability to browse by company.
* Provide the ability to browse the users by company.
* Whenever a company or user profile is selected, show a details page for the company and all the related users.
* Be optimized for reading data.
Which design should you implement to optimize the data store for reading data?

A. Create a user container that uses the user ID as the partition key and a company container that container that uses the company ID as the partition key. Add the company ID to each user documents.
B. In a directory container, create a document for each company and a document for each user. Use company ID as the partition key.
C. In a company container, create a document for each company. Embed the users into company documents. Use the company ID as the partition key.
D. In a user container, create a document for each user. Embed the company into each user document. Use the user ID as the partition key.

Answer: C

Explanation:
Explanation
Azure Cosmos DB is a multi-model database that supports various data models, such as documents, key-value, graph, and column-family3. The core content-model of Cosmos DB's database engine is based on atom-record-sequence (ARS), which allows it to store and query different types of data in a flexible and efficient way3.
To optimize the data store for reading data, you should consider the following factors:
The size and shape of your data
The frequency and complexity of your queries
The latency and throughput requirements of your application
The trade-offs between storage efficiency and query performance
Based on these factors, one possible design that you could implement is B. In a company container, create a document for each company. Embed the users into company documents. Use the company ID as the partition key.
This design has the following advantages:
It stores companies and users as self-contained documents that can be easily retrieved by company ID1.
It avoids storing redundant data or creating additional containers for users .
It allows you to browse by company and browse the users by company with simple queries1.
It shows a details page for the company and all the related users by fetching a single document1.
It leverages the benefits of embedding data, such as reducing the number of requests, improving query performance, and simplifying data consistency2.
This design also has some limitations, such as:
It may not be suitable for some users who have data that is greater than 2 KB, as it could exceed the maximum document size limit of 2 MB2.
It may not be optimal for scenarios where users need to be associated with more than one company or queried independently from companies2.
It may not be scalable for companies that have more than 1,000 users, as it could result in hot partitions or throttling2.
Depending on your specific use case and requirements, you may need to adjust this design or choose a different one. For example, you could use a hybrid data model that combines embedding and referencing data2
, or you could use a graph data model that expresses entities and relationships as vertices and edges.

NEW QUESTION # 48
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 t Custom and you use the default settings for the policy.
Does this meet the goal?

A. No
B. Yes

Answer: A

Explanation:
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 # 49
You have an Azure Cosmos DB for NoSQL account that contains a container named Container1.
You add a composite index to the default indexing policy of Container1. The index has the following definition.
FirstName ASC, age ASC
You plan to execute the following query against Container1.

You need to optimize the performance of the query by adding an additional index.
How should you complete the additional index? To answer, select the appropriate options in the answer area NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

NEW QUESTION # 50
You have an Azure Cosmos DB for NoSQL account named account that has the disablekeyBasedletadatwriteAccess property enabled.
You are developing an app named App1 that will be used by a use1 named DevUser1 to create containers in account1. DevUser1 has a non-privileged user account in the Azure AD tenant.
You need to ensure that DevUser1 can use App1 to create containers in account1.
What should you do? To answer, select the appropriate options in the answer area.
NOTE Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 51
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