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Azure Cosmos DB is a globally distributed, multi-model database service provided by Microsoft. It is designed to handle massive amounts of data at global scale, and it supports multiple data models, including document, key-value, graph, and column-family. Azure Cosmos DB is a popular choice for building cloud-native applications because of its scalability, high availability, and global distribution capabilities.
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By passing the Microsoft DP-420 exam, professionals can demonstrate their expertise in designing and implementing cloud-native applications using Cosmos DB. Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB certification can open up new career opportunities and increase earning potential. It can also help organizations to identify professionals with the skills and knowledge needed to design and implement successful Cosmos DB solutions.
Microsoft DP-420 Certification Exam is designed to test the candidate's knowledge and skills in designing and implementing cloud-native applications using Microsoft Azure Cosmos DB. DP-420 exam is intended for individuals who have experience in developing and deploying cloud applications using Microsoft Azure and are interested in incorporating Azure Cosmos DB into their applications.
NEW QUESTION # 90
You have an Azure Cosmos DB for NoSQL account.
You plan 10 create a container named container1. The container1 container will store items that include two properties named nm and age The most commonly executed queries will query container1 for a specific name. The following is a sample of the query.
You need to define an opt-in Indexing policy for container1. The solution must meet the following requirements:
* Minimize the number of request units consumed by the queries.
* Ensure that the _etag property is excluded from indexing.
How should you define the indexing poky? To answer, select the appropriate options in the answer are a. NOTE: Each correct selection Is worth one point.
Answer:
Explanation:
NEW QUESTION # 91
You have an Azure Cosmos DB Core (SQL) API account named account1 that has the disableKeyBasedMetadataWriteAccess property enabled.
You are developing an app named App1 that will be used by a user named DevUser1 to create containers in account1. DevUser1 has a non-privileged user account in the Azure Active Directory (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:
Explanation
Box 1: Resource tokens
Resource tokens provide access to the application resources within a database. Resource tokens:
Provide access to specific containers, partition keys, documents, attachments, stored procedures, triggers, and UDFs.
Box 2: Azure Resource Manager API
You can use Azure Resource Manager to help deploy and manage your Azure Cosmos DB accounts, databases, and containers.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/secure-access-to-data
https://docs.microsoft.com/en-us/rest/api/resources/
NEW QUESTION # 92
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?
Answer: D
Explanation:
Azure Cosmos DB is a multi-model databas e that supports various data models, such as documents, key- value, graph, and column -family 3 . 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 efficien t way 3 .
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 ID 1
.
* It avoids storing redundant data or creat ing additional containers for users 1 .
* It allows you to browse b y company and browse the users by company with simple queries 1 .
* It shows a details page for the company and all the related users by fetching a single document 1 .
* It leverages the benefits of embedding data, such as reducing the number of requests , improving query performance, and simplifying data consistency 2 .
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 exc eed the maximum document size limit of 2 MB 2 .
* It may not be optimal for scenarios where users need to be associated with more than one company or queried independently from companies 2 .
* It may not be scalable for companies that have more than 1,000 users, as it could result in hot partitions or throttling 2 .
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 data
2 , or you could use a graph data model that expresses entities and relationships as vertices and edges.
NEW QUESTION # 93
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. You Set ResolutionProcedures to a custom stored procedure. You configure the custom stored procedure to use the conflictingItems parameter to resolve conflict.
Does this meet the goal?
Answer: A
Explanation:
Setting ConflictResolutionMode to Custom and configuring a custom stored procedure with the "conflictingItems" parameter will allow you to implement a custom conflict resolution policy. This will ensure that any conflicts are sent to the conflict feed for resolution.
NEW QUESTION # 94
You are designing an Azure Cosmos DB Core (SQL) API solution to store data from IoT devices. Writes from the devices will be occur every second.
The following is a sample of the data.
You need to select a partition key that meets the following requirements for writes:
Minimizes the partition skew
Avoids capacity limits
Avoids hot partitions
What should you do?
Answer: A
Explanation:
Use a partition key with a random suffix. Distribute the workload more evenly is to append a random number at the end of the partition key value. When you distribute items in this way, you can perform parallel write operations across partitions.
Incorrect Answers:
A: You will also not like to partition the data on "DateTime", because this will create a hot partition. Imagine you have partitioned the data on time, then for a given minute, all the calls will hit one partition. If you need to retrieve the data for a customer, then it will be a fan-out query because data may be distributed on all the partitions.
B: Senser1Value has only two values.
C: All the devices could have the same manufacturer.
NEW QUESTION # 95
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