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A section outlining the topics of a Microsoft DP-420 Certification Exam

DP-420 Dumps cover the following topics of the Microsoft DP-420 Certification Exam:

Microsoft DP-420 is a certification exam that focuses on designing and implementing cloud-native applications using Microsoft Azure Cosmos DB. Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB certification is designed for professionals who are looking to demonstrate their expertise in developing cloud-native applications using Azure Cosmos DB. Azure Cosmos DB is a globally distributed, multi-model database service that is designed for high availability, low latency, and scalability. Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB certification exam covers all the essential topics related to Azure Cosmos DB and cloud-native application development.

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Microsoft DP-420 exam is designed for professionals who want to learn how to design and implement cloud-native applications using Microsoft Azure Cosmos DB. DP-420 exam is ideal for developers, architects, and IT professionals who have experience in building and deploying applications on Azure and want to deepen their knowledge of cloud-native application development. Passing the DP-420 Exam demonstrates that you have the skills and knowledge needed to design and implement cloud-native applications using Azure Cosmos DB.

Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q126-Q131):

NEW QUESTION # 126
You have an application that queries an Azure Cosmos 06 for NoSQL account.
You discover that the following two queries run frequently,

You need to minimize the request units (RUs) consumed by reads and writes. What should you create?

Answer: B


NEW QUESTION # 127
You have an Azure Cosmos DB for NoSQL database that hosts a container named Container1.
You are developing a new app named App1 that will use Container1.
You need to ensure that when App1 attempts to delete a document in Container1, the action is blocked, and an error is returned to the app.
What should you use?

Answer: D

Explanation:
To block an application from deleting a document in an Azure Cosmos DB for NoSQL container while ensuring the application receives an error message, you should use a pre-trigger.
Why use a Pre-trigger?
Blocking Action: Pre-triggers run before a database operation (like a delete) is completed. If the trigger throws an exception, the entire transaction is aborted, effectively blocking the deletion.
Error Reporting: When a pre-trigger throws an error, the Cosmos DB service returns that error back to the calling application, typically as a 400 Bad Request or similar exception depending on the SDK used.
Granular Control: Unlike general Role-Based Access Control (RBAC) which might just deny the operation with a generic "Forbidden" message, a pre-trigger allows you to write custom JavaScript logic to validate the delete request and provide a specific error reason.
Reference:
https://learn.microsoft.com/en-us/azure/cosmos-db/how-to-write-stored-procedures-triggers-udfs


NEW QUESTION # 128
You have a container named container1 in an Azure Cosmos DB for NoSQL account named account1 that is set to the session default consistency level. The average size of an item in container1 is 20 KB.
You have an application named App1 that uses the Azure Cosmos DB SDK and performs a point read on the same set of items in container1 every minute.
You need to minimize the consumption of the request units (RUs) associated to the reads by App1. What should you do?

Answer: A

Explanation:
Explanation
The cost of a point read for a 1 KB item is 1 RU. The cost of other operations depends on factors such as item size, indexing policy, consistency level, and query complexity . To minimize the consumption of RUs, you can optimize these factors according to your application needs.
For your scenario, one possible way to minimize the consumption of RUs associated to the reads by App1 is to change the consistency level of read requests to consistent prefix. Consistent prefix is a lower consistency level than session, which is the default consistency level for Azure Cosmos DB. Lower consistency levels consume fewer RUs than higher consistency levels . Consistent prefix guarantees that reads never see out-of-order writes and that monotonic reads are preserved . This may be suitable for your application if you can tolerate some eventual consistency.


NEW QUESTION # 129
You have a database named db1 in an Azure Cosmos DB for NoSQL
You are designing an application that will use dbl.
In db1, you are creating a new container named coll1 that will store in coll1.
The following is a sample of a document that will be stored in coll1.

The application will have the following characteristics:
* New orders will be created frequently by different customers.
* Customers will often view their past order history.
You need to select the partition key value for coll1 to support the application. The solution must minimize costs.
To what should you set the partition key?

Answer: B

Explanation:
Explanation
Based on the characteristics of the application and the provided document structure, the most suitable partition key value for coll1 in the given scenario would be the customerId, Option B.
The application frequently creates new orders by different customers and customers often view their past order history. Using customerId as the partition key would ensure that all orders associated with a particular customer are stored in the same partition. This enables efficient querying of past order history for a specific customer and reduces cross-partition queries, resulting in lower costs and improved performance.
a partition key is a JSON property (or path) within your documents that is used by Azure Cosmos DB to distribute data among multiple partitions3. A partition key should have a high cardinality, which means it should have many distinct values, such as hundreds or thousands1. A partition key should also align with the most common query patterns of your application, so that you can efficiently retrieve data by using the partition key value1.
Based on these criteria, one possible partition key that you could use for coll1 is B. customerId.
This partition key has the following advantages:
It has a high cardinality, as each customer will have a unique ID3.
It aligns with the query patterns of the application, as customers will often view their past order history3.
It minimizes costs, as it reduces the number of cross-partition queries and optimizes the storage and throughput utilization1.
This partition key also has some limitations, such as:
It may not be optimal for scenarios where orders need to be queried independently from customers or aggregated by date or other criteria3.
It may result in hot partitions or throttling if some customers create orders more frequently than others or have more data than others1.
It may not support transactions across multiple customers, as transactions are scoped to a single logical partition2.
Depending on your specific use case and requirements, you may need to adjust this partition key or choose a different one. For example, you could use a synthetic partition key that concatenates multiple properties of an item2, or you could use a partition key with a random or pre-calculated suffix to distribute the workload more evenly2.


NEW QUESTION # 130
You have a container in an Azure Cosmos DB Core (SQL) API account. The container stores telemetry data from IoT devices. The container uses telemetryId as the partition key and has a throughput of 1,000 request units per second (RU/s). Approximately 5,000 IoT devices submit data every five minutes by using the same telemetryId value.
You have an application that performs analytics on the data and frequently reads telemetry data for a single IoT device to perform trend analysis.
The following is a sample of a document in the container.

You need to reduce the amount of request units (RUs) consumed by the analytics application.
What should you do?

Answer: A

Explanation:
Explanation
The partition key is what will determine how data is routed in the various partitions by Cosmos DB and needs to make sense in the context of your specific scenario. The IoT Device ID is generally the "natural" partition key for IoT applications.
Reference: https://docs.microsoft.com/en-us/azure/architecture/solution-ideas/articles/iot-using-cosmos-db


NEW QUESTION # 131
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