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Microsoft DP-420 (Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB) certification exam is a valuable credential for professionals who want to demonstrate their expertise in designing and implementing cloud-native applications using Microsoft Azure Cosmos DB. Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB certification exam is designed for developers who have experience with cloud computing, distributed systems, and NoSQL databases.

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The targeted audience of the Microsoft DP-420 Certification Exam is IT professionals, who are interested in designing and implementing cloud-native applications using Microsoft Azure Cosmos DB database technologies. The Microsoft DP-420 Certification Exam is an important certification exam for every IT professional, who wants to get a job in a reputable company. DP-420 Dumps suggest that those individuals who have job titles like Azure SQL Database Administrator, Azure SQL Database Developer, Azure Cosmos DB Administrator, and Azure Cosmos DB Developer can also take this certification exam.

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Azure Cosmos DB is a globally distributed, multi-model database service that is designed for mission-critical applications. It provides high availability, low latency, and seamless scalability, making it an ideal choice for cloud-native applications. The DP-420 Certification Exam covers topics such as designing and implementing containers, designing and implementing partitioning strategies, and optimizing the performance of Azure Cosmos DB.

Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q128-Q133):

NEW QUESTION # 128
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?

Answer: A

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 onmetrics 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 account1.
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 steps2:
* 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 # 129
Note: This section contains one or more sets of questions with the same scenario and problem. Each question presents a unique solution to the problem. You must determine whether the solution meets the stated goals. More than one solution in the set might solve the problem. It is also possible that none of the solutions in the set solve the problem.
After you answer a question in this section, you will NOT be able to return. As a result, these questions do not appear on the Review Screen.
You have an Azure Cosmos DB for NoSQL database. The database hosts a container named families that stores data in the following format.

You need to return the following data:
- The ID of the family
- The family names of the children
- The name of any pets if the pet is a cat
Solution: You run the following query.

Does this meet the goal?

Answer: A

Explanation:
Correct:
* You run the following query.

The following Azure Cosmos DB NoSQL query fulfills the requirements by unnesting child array items and filtering the pet array:
To retrieve the family ID, the children's family names, and the rabbit's name, you can use the query below.
SELECT f.id, c.familyName AS FamilyName, p.givenName AS petName
FROM families f
JOIN f.children c
JOIN (SELECT VALUE p FROM p IN c.pets WHERE p.type = 'cat') AS p
1. Flatten the Children Array
To access individual properties within the children sub-array, use a JOIN statement. In Azure Cosmos DB, a JOIN performs an inner product between the document root (f) and the array (f.children). This filters out any family documents that contain no children.
2. Isolate Cat Pets
To inspect the properties of the pets array embedded inside each child, apply a secondary JOIN on c.pets. The WHERE clause then filters these projected items to only include cases where the property $p.type$ matches the string "cat".
3. Project Specific Attributes
The SELECT clause restricts the final JSON output schema to contain exactly three custom- aliased properties:
familyId: Extracted from the root document
IDchildFamilyName: Extracted from the current child item
iterationpetName: Extracted from the matching pet item iteration
Incorrect:
* You run the following query.

Use two JOINS and one subquery, not three JOINS and a subquery.
* You run the following query.

CROSS APPLY should not be used.
Reference:
https://learn.microsoft.com/en-us/cosmos-db/query/subquery


NEW QUESTION # 130
You have an Azure Cosmos DB account named account1 that uses the Core (SQL) API.
You have a web service that receives JSON-based messages.
You need to recommend a solution that will process and store the messages in a container in account1. The solution must minimize latency.
What should you include in the recommendation?

Answer: B

Explanation:
To process and store JSON messages in Azure Cosmos DB with the lowest latency, you should use Azure Stream Analytics.
Real-time processing: It processes streaming data with sub-second latencies.
Native integration: It has built-in outputs for the Azure Cosmos DB Core (SQL) API.JSON support: It natively parses and processes JSON payloads without complex code.
Incorrect:
[Not A, Not B]
Azure Data Factory / Synapse Pipelines: These are built for batch processing and scheduling.
They introduce minutes of latency, making them too slow for real-time needs.
[Not C]
Azure SQL Managed Instance Link: This tool replicates data between SQL Server and Azure SQL Managed Instance. It is completely irrelevant for moving web service data into Cosmos DB.
Reference:
https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-documentdb-output


NEW QUESTION # 131
Hotspot Question
You have an Azure subscription that contains an Azure Cosmos DB for NoSQL account named account1 and a Log Analytics workspace named Workspace1. Workspace1 stores the logs of account1.
You need to identify which operations used the most request units per second (RU/s) during the last 24 hours.
How should you complete the query? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 132
The following is a sample of a document in orders.

The orders container uses customer as the partition key.
You need to provide a report of the total items ordered per month by item type. The solution must meet the following requirements:
Ensure that the report can run as quickly as possible.
Minimize the consumption of request units (RUs).
What should you do?

Answer: A

Explanation:
Explanation
You can facilitate aggregate data by using Change Feed and Azure Functions, and then use it for reporting.
Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/change-feed


NEW QUESTION # 133
......

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