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The DP-420 certification exam is designed to test candidates on a range of topics, including Azure Cosmos DB data modeling, partitioning, indexing, and querying. It also covers concepts related to Azure Functions, Azure Event Hubs, Azure Stream Analytics, and Azure Cosmos DB Change Feed. The exam is intended for professionals who have experience working with Azure Cosmos DB and are knowledgeable about cloud computing concepts and principles.

The certification exam consists of a variety of question types, including multiple choice, drag-and-drop, and scenario-based questions. It is a timed exam that lasts for 150 minutes, and the passing score is 700 out of 1000. The exam can be taken in-person at a Microsoft testing center, or online through a proctored exam delivery service.

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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q11-Q16):

NEW QUESTION # 11
You plan to store order data in Azure Cosmos DB for NoSQL account. The data contains information about orders and their associated items.
You need to develop a model that supports order read operations. The solution must minimize the number or requests.

A. Create a single database that contains one container. Store orders and order items in separate documents in the container.B. Create a single database that contains one container. Create a separate document for each order and embed the order items into the order documents.C. Create a database for orders and a database for order items.D. Create a single database that contains a container for order and a container for order items.

Answer: B

Explanation:
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 develop a model that supports order read operations and minimizes the number of requests, 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 model that you could implement is B. Create a single database that contains one container. Create a separate document for each order and embed the order items into the order documents.
This model has the following advantages:
* It stores orders and order items as self-contained documents that can be easily retrieved by order ID1.
* It avoids storing redundant data or creating additional containers for order items1.
* It allows you to view the order history of a customer with simple queries1.
* It leverages the benefits of embedding data, such as reducing the number of requests, improving query performance, and simplifying data consistency2.
This model also has some limitations, such as:
* It may not be suitable for some order items that 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 order items need to be queried independently from orders or aggregated by other criteria
* It may not support transactions across multiple orders or customers, as transactions are scoped to a single logical partition2.
Depending on your specific use case and requirements, you may need to adjust this model 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 # 12
You configure a backup for an Azure Cosmos DB for NoSQL 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:

Explanation
Box 1 = The current backup policy provides protection for: 2 Hours Azure Cosmos DB automatically takes backups of your data at regular intervals. The backup interval and the retention period can be configured from the Azure portal. You can also choose between two backup modes: periodic backup mode and continuous backup mode. Periodic backup mode is the default mode for all existing accounts and it takes a full backup of your database every 4 hours by default. Continuous backup mode is a new mode that allows you to restore to any point of time within either 7 or 30 days1.
For your scenario, based on the exhibit, you have configured a backup for an Azure Cosmos DB for NoSQL account using the periodic backup mode with a backup interval of 1 hour and a retention period of 2 hours.
This means that Azure Cosmos DB will take a full backup of your database every hour and keep only the latest two backups. Therefore, the current backup policy provides protection for 2 hours.
Box 2: In case of emergency, you must (answer choice) to restore the backup = create a support ticket Azure Cosmos DB automatically takes backups of your data at regular intervals. You can configure the backup interval and the retention period from the Azure portal. You can also choose between two backup modes:
periodic backup mode and continuous backup mode. Periodic backup mode is the default mode for all existing accounts and it takes a full backup of your database every 4 hours by default. Continuous backup mode is a new mode that allows you to restore to any point of time within either 7 or 30 days1.
For your scenario, based on the exhibit, you have configured a backup for an Azure Cosmos DB for NoSQL account using the periodic backup mode with a backup interval of 1 hour and a retention period of 2 hours.
This means that Azure Cosmos DB will take a full backup of your database every hour and keep only the latest two backups. In case of emergency, you must create a support ticket to restore the backup. This is the answer to your question.
To restore data from a periodic backup, you need to create a support request with Azure Cosmos DB team and provide the following information:
* The name of your Azure Cosmos DB account
* The name of the database or container that you want to restore
* The date and time (in UTC) that you want to restore from
* The name of the target Azure Cosmos DB account where you want to restore the data
* The name of the target resource group where you want to restore the data The Azure Cosmos DB team will then initiate the restore process and notify you when it is completed2.

NEW QUESTION # 13
You have an Azure Cosmos DB Core (SQL) API account named account1.
In account1, you run the following query in a container that contains 100GB of data.
SELECT *
FROM c
WHERE LOWER(c.categoryid) = "hockey"
You view the following metrics while performing the query.

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:

Explanation

Box 1: No
Each physical partition should have its own index, but since no index is used, the query is not cross-partition.
Box 2: No
Index utilization is 0% and Index Look up time is also zero.
Box 3: Yes
A partition key index will be created, and the query will perform across the partitions.
Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/sql/how-to-query-container

NEW QUESTION # 14
You have an Azure Cosmos DB Core (SQL) API account that is used by 10 web apps.
You need to analyze the data stored in the account by using Apache Spark to create machine learning models. The solution must NOT affect the performance of the web apps.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. In an Azure Synapse Analytics serverless SQL pool, create a view that uses OPENROWSET and the CosmosDB provider.B. Create a private endpoint connection to the account.C. In an Apache Spark pool in Azure Synapse, create a table that uses cosmos.olap as the data source.D. Enable Azure Synapse Link for the account and Analytical store on the container.E. In an Apache Spark pool in Azure Synapse, create a table that uses cosmos.oltp as the data source.

Answer: C,D

Explanation:
Reference:
https://github.com/microsoft/MCW-Cosmos-DB-Real-Time-Advanced-Analytics/blob/main/Hands-on%20lab/HOL%20step-by%20step%20-%20Cosmos%20DB%20real-time%20advanced%20analytics.md

NEW QUESTION # 15
You maintain a relational database for a book publisher. The database contains the following tables.

The most common query lists the books for a given authorId.
You need to develop a non-relational data model for Azure Cosmos DB Core (SQL) API that will replace the relational database. The solution must minimize latency and read operation costs.
What should you include in the solution?

A. Create a container for Author and a container for Book. In each Author document and Book document embed the data from Bookauthorlnk.B. Create a container that contains a document for each Author and a document for each Book. In each Book document, embed authorId.C. Create Author, Book, and Bookauthorlnk documents in the same container.D. Create a container for Author and a container for Book. In each Author document, embed bookId for each book by the author. In each Book document embed authorId of each author.

Answer: D

Explanation:
Store multiple entity types in the same container.

NEW QUESTION # 16
......

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