Reliable DP-420 Dumps Questions | Exam DP-420 Overview

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To prepare for the DP-420 exam, Microsoft offers a variety of resources, including official study guides, online courses, and practice exams. You can also find many third-party study materials and practice exams on the internet. It is important to take the time to thoroughly review the exam objectives and ensure that you have a solid understanding of all the topics covered. With the right preparation and a good understanding of cloud-native application development, you can pass the DP-420 Exam and demonstrate your expertise in Azure Cosmos DB.

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Exam Microsoft DP-420 Overview - DP-420 Certification Dumps

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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.

Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q133-Q138):

NEW QUESTION # 133
You plan to store order data in an Azure Cosmos DB for NoSQL account. The data contains information about orders and their associated items.
You need to develop a model that supports read operations for orders. The solution must minimize the number of requests.
What should you do?

Answer: A

Explanation:
By denormalizing data, your application may need to issue fewer queries and updates to complete common operations.
Typically denormalized data models provide better read performance.
Note: In general, use embedded data models when:
There are contained relationships between entities.
There are one-to-few relationships between entities.
There's embedded data that changes infrequently.
There's embedded data that will not grow without bound.
There's embedded data that is queried frequently together.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/sql/modeling-data


NEW QUESTION # 134
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:

Explanation


NEW QUESTION # 135
You have a multi-region Azure Cosmos DB account named account1 that has a default consistency level of strong.
You have an app named App1 that is configured to request a consistency level of session.
How will the read and write operations of App1 be handled? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation
Box 1 = Write and replicate data to every region synchronously
This is because the write concern is mapped to the default consistency level configured on your Azure Cosmos DB account2, 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 account1. The request level consistency level of session only applies to the read operations of App11.
Box 2: That has the lowest estimated latency to the client
This is because the read operations of App1 will use the session consistency level that is specified in the request options. Session consistency is a client-centric consistency model that guarantees monotonic reads, monotonic writes, and read-your-own-writes within a session. A session is scoped to a client connection or a stored procedure execution. Session consistency allows clients to read from any region that has the lowest latency to the client.


NEW QUESTION # 136
You have a database named db1 in an Azure Cosmos DB for NoSQL account named account1. The db1 database has a manual throughput of 4,000 request units per second (RU/s).
You need to move db1 from manual throughput to autoscale throughput by using the Azure CLI. The solution must provide a minimum of 4,000 RU/s and a maximum of 40,000 RU/s.
How should you complete the CLI statements? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Migrate
40000
According to the Azure CLI reference 1 , you need to use the az cosmosdb sql database throughput migrate command to migrate the throughput of the SQL database between autoscale and manually provisioned. You also need to use the --throughput-type parameter to specify the type of throughput to migrate to, and the --max-throughput parameter to specify the maximum throughput resource can scale to (RU/s).
To complete the CLI statements, you should replace the missing values with:
* --throughput-type autoscale
* --max-throughput 40000
The final command should look like this:
az cosmosdb sql database throughput migrate
--account-name account1
--name db1
--resource-group rg1
--throughput-type autoscale
--max-throughput 40000


NEW QUESTION # 137
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 # 138
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