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Microsoft DP-420 exam is suitable for developers, architects, and IT professionals who work with Azure Cosmos DB. Candidates who pass DP-420 exam will have a thorough understanding of the Azure Cosmos DB architecture, the design principles of cloud-native applications, and the best practices for implementing and deploying them.

The Microsoft DP-420 exam DP-420 is aimed at professionals who have experience in designing and implementing Cosmos DB solutions. DP-420 Exam is intended for those who are looking to enhance their knowledge and skills in cloud-native application development by leveraging Microsoft Azure Cosmos DB. DP-420 exam covers various topics related to Cosmos DB, including data modeling, partitioning, indexing, querying, and performance tuning.

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Azure Cosmos DB is a globally distributed, multi-model database service that is designed for mission-critical applications. It provides a highly available, globally distributed database that can scale horizontally and vertically to meet the needs of any application. Azure Cosmos DB supports multiple APIs, including SQL, MongoDB, Cassandra, Gremlin, and Azure Table Storage, which enables developers to use the programming model and API that best fits their application.

Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q73-Q78):

NEW QUESTION # 73
You have a container named container1 in an Azure Cosmos DB for NoSQL account named account1.
You configure container1 to use Always Encrypted by using an encryption policy as shown in the C# and the Java exhibits. (Click the C# tab to view the encryption policy in C#. Click the Java tab to see the encryption policy in Java.)

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:

NEW QUESTION # 74
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:

Box 1: country
The country field is filterable.
Note: filterable: Indicates whether to enable the field to be referenced in $filter queries. Filterable differs from searchable in how strings are handled. Fields of type Edm.String or Collection(Edm.String) that are filterable do not undergo lexical analysis, so comparisons are for exact matches only.
Box 2: name
The name field is not Retrievable.
Retrievable: Indicates whether the field can be returned in a search result. Set this attribute to false if you want to use a field (for example, margin) as a filter, sorting, or scoring mechanism but do not want the field to be visible to the end user.
Note: searchable: Indicates whether the field is full-text searchable and can be referenced in search queries.
Reference: https://docs.microsoft.com/en-us/rest/api/searchservice/create-index

NEW QUESTION # 75
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 # 76
You have an Azure Cosmos DB for NoSQL account.
The change feed is enabled on a container named invoice.
You create an Azure function that has a trigger on the change feed.
What is received by the Azure function?

A. all the properties of the updated items
B. only the partition key and the changed properties of the updated items
C. only the changed properties and the system-defined properties of the updated items
D. all the properties of the original items and the updated items

Answer: C

Explanation:
Explanation
According to the Azure Cosmos DB documentation12, the change feed is a persistent record of changes to a container in the order they occur. The change feed outputs the sorted list of documents that were changed in the order in which they were modified.
The Azure function that has a trigger on the change feed receives all the properties of the updated items2. The change feed does not include the original items or only the changed properties. The change feed also includes some system-defined properties such as _ts (the last modified timestamp) and _lsn (the logical sequence number)3.
Therefore, the correct answer is:
A: all the properties of the updated items

NEW QUESTION # 77
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 reference1, 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 # 78
......

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