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Free PDF Quiz 2025 Trustable Microsoft DP-420: Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Interactive Questions

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The DP-420 exam covers various topics, including designing and implementing data partitioning strategies, designing and implementing global distribution strategies, designing and implementing server-side programming models, and designing and optimizing queries. DP-420 exam is available in multiple languages, including English, Spanish, French, German, Japanese, Chinese (Simplified and Traditional), and Korean.

The DP-420 Certification Exam covers a wide range of topics related to Azure Cosmos DB, including data modeling, partitioning, indexing, querying, and tuning. Candidates are expected to have a deep understanding of how to use Azure Cosmos DB to build scalable, resilient, and highly available cloud-native applications. They should also be familiar with Azure services such as Azure Functions, Azure App Service, and Azure Event Grid.

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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q142-Q147):

NEW QUESTION # 142
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. In a directory container, create a document for each company and a document for each user. Use company ID as the partition key.
B. 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.
C. 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.
D. In a company container, create a document for each company. Embed the users into company documents. Use the company ID as the partition key.

Answer: D

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 users1.
* 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 # 143
You have an app that stores data in an Azure Cosmos DB Core (SQL) API account The app performs queries that return large result sets.
You need to return a complete result set to the app by using pagination. Each page of results must return 80 items.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:

Explanation:

Explanation

Step 1: Configure the MaxItemCount in QueryRequestOptions
You can specify the maximum number of items returned by a query by setting the MaxItemCount. The MaxItemCount is specified per request and tells the query engine to return that number of items or fewer.
Box 2: Run the query and provide a continuation token
In the .NET SDK and Java SDK you can optionally use continuation tokens as a bookmark for your query's progress. Azure Cosmos DB query executions are stateless at the server side and can be resumed at any time using the continuation token.
If the query returns a continuation token, then there are additional query results.
Step 3: Append the results to a variable
Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/sql/sql-query-pagination

NEW QUESTION # 144
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a container named container1 in an Azure Cosmos DB Core (SQL) API account.
You need to make the contents of container1 available as reference data for an Azure Stream Analytics job.
Solution: You create an Azure function that uses Azure Cosmos DB Core (SQL) API change feed as a trigger and Azure event hub as the output.
Does this meet the goal?

A. No
B. Yes

Answer: B

Explanation:
The Azure Cosmos DB change feed is a mechanism to get a continuous and incremental feed of records from an Azure Cosmos container as those records are being created or modified. Change feed support works by listening to container for any changes. It then outputs the sorted list of documents that were changed in the order in which they were modified.
The following diagram represents the data flow and components involved in the solution:

NEW QUESTION # 145
You have an Azure Cosmos DB for NoSQL account that has multiple write regions.
You need to receive an alert when requests that target the database exceed the available request units per second (RU/s).
Which Azure Monitor signal should you use?

A. Document Quota
B. Data Usage
C. Metadata Requests
D. Region Removed

Answer: A

Explanation:
Explanation
Azure Monitor is a service that provides comprehensive monitoring for Azure resources, including Azure Cosmos DB. You can use Azure Monitor to collect, analyze, and alert on metrics and logs from your Azure Cosmos DB account. You can create alerts for Azure Cosmos DB using Azure Monitor based on the metrics, activity log events, or Log Analytics logs on your account For your scenario, if you want to receive an alert when requests that target the database exceed the available request units per second (RU/s), you should use the Document Quota metric. This metric measures the percentage of RU/s consumed by your account or container. You can create an alert rule on this metric from the Azure portal by following these steps In the Azure portal, select the Azure Cosmos DB account you want to monitor.
Under the Monitoring section of the sidebar, select Alerts, and then select New alert rule.
In the Create alert rule pane, fill out the Scope section by selecting your subscription name and resource type (Azure Cosmos DB accounts).
In the Condition section, select Add condition and choose Document Quota from the list of signals.
In the Configure signal logic pane, specify the threshold value and operator for your alert condition. For example, you can choose Greater than or equal to 90 as the threshold value and operator to receive an alert when your RU/s consumption reaches 90% or more of your provisioned throughput.
In the Alert rule details section, specify a name and description for your alert rule.
In the Actions section, select Add action group and choose how you want to receive notifications for your alert. For example, you can choose Email/SMS/Push/Voice as an action type and enter your email address or phone number as a receiver.
Review your alert rule settings and select Create alert rule to save it.

NEW QUESTION # 146
You have an Azure Cosmos DB for NoSQL account1 that is configured for automatic failover. The account1 account has a single read-write region in West US and a and a read region in East US.
You run the following PowerShell command.

What is the effect of running the command?

A. The provisioned throughput for account1 will increase.
B. The account will be unavailable to writes during the change.
C. The account will be configured for multi-region writes.
D. A manual failover will occur.

Answer: B

Explanation:
You can use the Set-AzCosmosDBAccountRegion cmdlet to update the regions that an Azure Cosmos DB account uses. You can use this cmdlet to add a region or change the region failover order. The cmdlet requires a resource group name, an Azure Cosmos DB account name, and a list of regions in desired failover order1.
For your scenario, based on the PowerShell command, you are using the Set-AzCosmosDBAccountRegion cmdlet to update the regions for an Azure Cosmos DB account named account1 that is configured for automatic failover. The command specifies two regions: West US and East US. The effect of running the command is that the account will be configured for multi-region writes.
Multi-region writes is a feature of Azure Cosmos DB that allows you to write data to any region in your account and have it automatically replicated to all other regions. This feature provides high availability and low latency for write operations across multiple regions. To enable multi-region writes, you need to specify at least two regions in your account and set them as write regions2. In your command, you are setting both West US and East US as write regions by using the -IsZoneRedundant parameter with a value of $true for both regions.

NEW QUESTION # 147
......

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