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The DP-420 Exam covers a wide range of topics, including the fundamentals of Azure Cosmos DB, NoSQL data modeling and partitioning, query techniques for Cosmos DB, and designing and implementing globally distributed applications. You will also need to have a good understanding of Azure services such as Azure Functions, Azure Event Grid, and Azure Service Bus, as well as other related technologies such as JSON, RESTful APIs, and the .NET programming language.

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

NEW QUESTION # 133
You have three containers in an Azure Cosmos DB Core (SQL) API account as shown in the following table.

You have the following Azure functions:
A function named Fn1 that reads the change feed of cn1
A function named Fn2 that reads the change feed of cn2
A function named Fn3 that reads the change feed of cn3
You perform the following actions:
Delete an item named item1 from cn1.
Update an item named item2 in cn2.
For an item named item3 in cn3, update the item time to live to 3,600 seconds.
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:

Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/sql/change-feed-design-patterns
https://docs.microsoft.com/en-us/azure/cosmos-db/change-feed

NEW QUESTION # 134
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 company container, create a document for each company. Embed the users into company documents. Use the company ID as the partition key.
B. 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.
C. In a directory container, create a document for each company and a document for each user. Use company ID as the partition key.
D. 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.

Answer: A

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 # 135
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 # 136
You have an Azure Cosmos DB for NoSQL account that hosts a container named Container1.
You implement a change feed processor.
You discover that the processor is processing changes more slowly than the changes occur in Container1.
You need to resolve the issue.
What should you use?

A. a stored procedure
B. an integrated cache
C. a diagnostics full-text query
D. a change feed estimator

Answer: D

Explanation:
To handle change feed lag in Azure Cosmos DB, you can use the Change Feed Estimator to monitor the number of pending changes. This metric acts as a signal to scale your Change Feed Processor instances horizontally.
How the Estimator Works
The Estimator is a "sidecar" logic that measures the difference between the last processed item (stored in the lease container) and the latest change in the monitored container.
Frequency: It typically polls every 5 seconds (customizable).
Resource Usage: Each estimation consumes Request Units (RUs) from both the monitored and lease containers.
Independence: It can be deployed as a standalone instance separate from your processors to avoid impacting their performance.
Reference:
https://learn.microsoft.com/en-us/azure/cosmos-db/change-feed-processor

NEW QUESTION # 137
You have an Azure subscription.
You plan to create an Azure Cosmos DB for NoSQL database named DB1 that will store author and book data for authors that have each published up to ten books. Typical and frequent queries of the data will include:
* All books written by an individual author
* The synopsis of individual books
You need to recommend a data model for DB1. The solution must meet the following requirements:
* Support transactional updates of the author and book data.
* Minimize read operation costs.
What should you recommend?

A. Create three containers, one that stores author items, a second that stores book items, and a third that stores items that represent the relationship between the authors and their books.
B. Create a single container that stores author items and book items. Embed a list of each author's books in the
C. Create a single container that stores author items and book items, and then items that represent the relationship between the authors and their books.
D. Create two containers, one that stores author items and another that stores book items. Embed a list of each author's books in the corresponding author item.

Answer: B

NEW QUESTION # 138
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