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Microsoft DP-420 Certification Exam is designed for individuals who are interested in demonstrating their expertise in designing and implementing cloud-native applications using Microsoft Azure Cosmos DB. DP-420 exam validates the skills and knowledge required to design and implement scalable, globally distributed, and highly available applications using Azure Cosmos DB. DP-420 exam covers various topics such as data modeling, partitioning, indexing, querying, and scaling Azure Cosmos DB databases. Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB certification exam is suitable for developers, architects, and data professionals who work with Azure Cosmos DB and want to validate their skills and knowledge in this area.
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The DP-420 certification exam is intended for developers who have experience in designing and developing cloud-native applications and have a strong understanding of Azure Cosmos DB's features and functionalities. DP-420 exam measures a candidate's ability to design and implement solutions that leverage Cosmos DB's capabilities, including data modeling, partitioning, indexing, and querying.
The Microsoft DP-420 exam DP-420 is aimed at professionals who have experience in designing and implementing Cosmos DB solutions. DP-420 exam is intended for those who are looking to enhance their knowledge and skills in cloud-native application development by leveraging Microsoft Azure Cosmos DB. DP-420 exam covers various topics related to Cosmos DB, including data modeling, partitioning, indexing, querying, and performance tuning.
NEW QUESTION # 70
You plan to create an Azure Cosmos DB container named account that will contain items in the following format.
You need to define a query that will return the ids of all accounts that have ever recorded a negative value for balance.
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:
Explanation:
NEW QUESTION # 71
You have an on-premises network.
You have an Azure subscription that contains an Azure Cosmos DB account named account1 and an Azure virtual network named VNet1. VNet1 contains two virtual machines named VM1 and VM2. VNet1 is connected to the on-premises network by using a Site-to-Site (S2S) VPN.
You need to meet the following requirements:
* Block access to the public endpoint of account1.
* Allow only VM1 to access account1.
What should you include in the solution? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
NEW QUESTION # 72
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.
Answer: A
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 # 73
You are designing a data model for an Azure Cosmos DB for NoSQL account.
What are the partition limits for request units per second (RU/s) and storage? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
NEW QUESTION # 74
You have a container in an Azure Cosmos DB for NoSQL 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: B
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 # 75
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