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[General] Latest DP-420 Dumps Sheet - DP-420 Latest Test Materials

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【General】 Latest DP-420 Dumps Sheet - DP-420 Latest Test Materials

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Microsoft DP-420 (Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB) Exam is a certification test designed to assess the knowledge and skills of professionals in designing and implementing cloud-native applications using Microsoft Azure Cosmos DB. DP-420 exam is intended for developers who want to prove their expertise in developing cloud-native applications using Cosmos DB, which is a globally distributed, multi-model database service from Microsoft.
Microsoft DP-420 Certification Exam is an essential certification for cloud developers who want to demonstrate their expertise in designing and implementing cloud-native applications using Microsoft Azure Cosmos DB. DP-420 exam is designed to test an individual's knowledge and skills in creating secure, scalable, and highly available applications using Cosmos DB - a globally distributed, multi-model database service that offers low latency and high throughput.
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To prepare for the DP-420 Certification Exam, candidates should have a solid understanding of cloud computing, distributed systems, and NoSQL databases. They should also be familiar with Microsoft Azure and have experience working with Azure Cosmos DB. Microsoft offers a range of training resources to help candidates prepare for the exam, including online courses, study guides, and practice exams.
Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q86-Q91):NEW QUESTION # 86
You have a container in an Azure Cosmos DB Core (SQL) API account.
You need to use the Azure Cosmos DB SDK to replace a document by using optimistic concurrency.
What should you include in the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:

Box 1: ConsistencyLevel
The ItemRequestOptions Class ConsistencyLevel property gets or sets the consistency level required for the request in the Azure Cosmos DB service.
Azure Cosmos DB offers 5 different consistency levels. Strong, Bounded Staleness, Session, Consistent Prefix and Eventual - in order of strongest to weakest consistency.
Box 2: _etag
The ItemRequestOptions class helped us implement optimistic concurrency by specifying that we wanted the SDK to use the If-Match header to allow the server to decide whether a resource should be updated. The If-Match value is the ETag value to be checked against. If the ETag value matches the server ETag value, the resource is updated.
Reference:
https://docs.microsoft.com/en-us ... .itemrequestoptions
https://cosmosdb.github.io/labs/ ... rrency-control.html

NEW QUESTION # 87
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 # 88
You have an Azure Cosmos DB database named databaset contains a container named container1. The container1 container store product data and has the following indexing policy.

Which path will be indexed?
  • A. /product/category
  • B. /product/brand
  • C. /product/brand/tailspin
  • D. /product/[ ]/category
Answer: B
Explanation:
The indexing policy has an includedPaths array that contains only one path: /product/brand/? . This means that only the properties under /product/brand will be indexed. The ? symbol indicates that only scalar values will be indexed, not arrays or objects1.
The excludedPaths array contains a single path: /* . This means that all other properties will be excluded from indexing. The * symbol indicates a wildcard that matches any property name1.
Therefore, the paths /product/category , /product/[ ]/category , and /product/brand/tailspin will not be indexed.
Topic 1, Litware, inc
Case Study
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.
Overview
Litware, Inc. is a United States-based grocery retailer. Litware has a main office and a primary datacenter in Seattle. The company has 50 retail stores across the United States and an emerging online presence. Each store connects directly to the internet.
Existing environment. Cloud and Data Service Environments.
Litware has an Azure subscription that contains the resources shown in the following table.

Each container in productdb is configured for manual throughput.
The con-product container stores the company's product catalog data. Each document in con-product includes a con-productvendor value. Most queries targeting the data in con-product are in the following format.
SELECT * FROM con-product p WHERE p.con-productVendor - 'name'
Most queries targeting the data in the con-productVendor container are in the following format SELECT * FROM con-productVendor pv ORDER BY pv.creditRating, pv.yearFounded Existing environment. Current Problems.
Litware identifies the following issues:
Updates to product categories in the con-productVendor container do not propagate automatically to documents in the con-product container.
Application updates in con-product frequently cause HTTP status code 429 "Too many requests". You discover that the 429 status code relates to excessive request unit (RU) consumption during the updates.
Requirements. Planned Changes
Litware plans to implement a new Azure Cosmos DB Core (SQL) API account named account2 that will contain a database named iotdb. The iotdb database will contain two containers named con-iot1 and con-iot2.
Litware plans to make the following changes:
Store the telemetry data in account2.
Configure account1 to support multiple read-write regions.
Implement referential integrity for the con-product container.
Use Azure Functions to send notifications about product updates to different recipients.
Develop an app named App1 that will run from all locations and query the data in account1.
Develop an app named App2 that will run from the retail stores and query the data in account2. App2 must be limited to a single DNS endpoint when accessing account2.
Requirements. Business Requirements
Litware identifies the following business requirements:
Whenever there are multiple solutions for a requirement, select the solution that provides the best performance, as long as there are no additional costs associated.
Ensure that Azure Cosmos DB costs for IoT-related processing are predictable.
Minimize the number of firewall changes in the retail stores.
Requirements. Product Catalog Requirements
Litware identifies the following requirements for the product catalog:
Implement a custom conflict resolution policy for the product catalog data.
Minimize the frequency of errors during updates of the con-product container.
Once multi-region writes are configured, maximize the performance of App1 queries against the data in account1.
Trigger the execution of two Azure functions following every update to any document in the con-product container.

NEW QUESTION # 89
You have the Azure Cosmos DB for NoSQL containers shown in the following table.

You have the items shown in the following table.

When will each item expire? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:


NEW QUESTION # 90
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?
  • A. a composite index for (name DESC, time stamp ASC)
  • B. a composite index for (name ASC, time stamp DESC)
  • C. a composite index for (name ASC time stamp ASC) and a composite index for (name, time stamp disc)
  • D. a composite index for (name ASC, time stamp ASC)
Answer: D

NEW QUESTION # 91
......
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