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With the increasing adoption of cloud computing, there is a growing demand for professionals who can design and implement cloud-native applications using Azure Cosmos DB. The DP-420 certification exam provides a valuable credential for individuals who want to demonstrate their expertise in this area. Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB certification can also help individuals to advance their careers by enabling them to take on more complex and challenging roles in the field of cloud computing.

Azure Cosmos DB is a globally distributed database service that allows users to store and access data from anywhere in the world with low latency and high availability. This platform offers multiple APIs to support a variety of data models, including document, key-value, graph, and column-family. The DP-420 Exam Tests candidates on their ability to design and implement solutions using Azure Cosmos DB that meet business requirements.

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Microsoft DP-420 Certification Exam covers a wide range of topics, including Azure Cosmos DB's architecture, data modeling, partitioning, global distribution, and security. Professionals who pass DP-420 exam will have a strong understanding of how to design and implement cloud-native applications using Azure Cosmos DB's APIs and SDKs. They will also be able to optimize performance, troubleshoot common issues, and monitor the health of their Azure Cosmos DB instances.

Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q187-Q192):

NEW QUESTION # 187
You have an Azure Cosmos DB for NoSQL account that contains a container named Container1.
You add a composite index to the default indexing policy of Container1. The index has the following definition.
FirstName ASC, age ASC
You plan to execute the following query against Container1.

You need to optimize the performance of the query by adding an additional index.
How should you complete the additional index? To answer, select the appropriate options in the answer area NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:


NEW QUESTION # 188
Which of the following function in Spark SQL separates the array's elements into multiple rows with positions and utilizes the column names 'pos' for position and 'col' for elements of the array?

Answer: D

Explanation:
posexplode() is a function in Spark SQL that separates the array's elements into multiple rows with positions and utilizes the column names pos for position and col for elements of the array.
https://docs.microsoft.com/en-us/learn/modules/query-azure-cosmos-db-with-apache-spark-for-azure-synapse-analytics/5-perform-complex-queries


NEW QUESTION # 189
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?

Answer: C

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 # 190
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:

Explanation

Box 1: No
Azure Cosmos DB's change feed is a great choice as a central data store in event sourcing architectures where all data ingestion is modeled as writes (no updates or deletes).
Note: The change feed does not capture deletes. If you delete an item from your container, it is also removed from the change feed. The most common method of handling this is adding a soft marker on the items that are being deleted. You can add a property called "deleted" and set it to "true" at the time of deletion. This document update will show up in the change feed. You can set a TTL on this item so that it can be automatically deleted later.
Box 2: No
The _etag format is internal and you should not take dependency on it, because it can change anytime.
Box 3: Yes
Change feed support in Azure Cosmos DB works by listening to an Azure Cosmos container for any changes.
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 # 191
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.

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 # 192
......

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