2026 Itexamdump 최신 DP-420 PDF 버전 시험 문제집과 DP-420 시험 문제 및 답변 무료 공유: https://drive.google.com/open?id=1qGXc6dUEr9x6NVlyS06PW_BVf_atNE_9
Itexamdump의 Microsoft인증 DP-420덤프로 시험공부를 하신다면 고객님의 시간은 물론이고 거금을 들여 학원등록하지 않아도 되기에 금전상에서도 많은 절약을 해드리게 됩니다. Microsoft인증 DP-420덤프 구매의향이 있으시면 무료샘플을 우선 체험해보세요.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design and implement data models | 35-40% | - Plan and implement sizing and scaling
|
| Topic 2: Optimize an Azure Cosmos DB solution | 15-20% | - Define and implement indexing strategy
|
| Topic 3: Maintain an Azure Cosmos DB solution | 25-30% | - Monitor and troubleshoot Azure Cosmos DB solutions
|
| Topic 4: Integrate an Azure Cosmos DB solution | 5-10% | - Enable analytical workloads
|
| Topic 5: Design and implement data distribution | 5-10% | - Design and implement replication strategy
|
Itexamdump 의 Microsoft인증 DP-420덤프는Microsoft인증 DP-420시험에 도전장을 던진 분들이 신뢰할수 있는 든든한 길잡이 입니다. Microsoft인증 DP-420시험대비 덤프뿐만아니라 다른 IT인증시험에 대비한 덤프자료도 적중율이 끝내줍니다. Microsoft인증 DP-420시험이나 다른 IT인증자격증시험이나Itexamdump제품을 사용해보세요.투자한 덤프비용보다 훨씬 큰 이득을 보실수 있을것입니다.
질문 # 143
You have a database named db1 in an Azure Cosmos DB for NoSQL account named account1. The db1 database has a manual throughput of 4,000 request units per second (RU/s).
You need to move db1 from manual throughput to autoscale throughput by using the Azure CLI. The solution must provide a minimum of 4,000 RU/s and a maximum of 40,000 RU/s.
How should you complete the CLI statements? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
정답：
설명：
Explanation:
Migrate
40000
According to the Azure CLI reference1, you need to use the az cosmosdb sql database throughput migrate command to migrate the throughput of the SQL database between autoscale and manually provisioned. You also need to use the --throughput-type parameter to specify the type of throughput to migrate to, and the --max-throughput parameter to specify the maximum throughput resource can scale to (RU
/s).
To complete the CLI statements, you should replace the missing values with:
* --throughput-type autoscale
* --max-throughput 40000
The final command should look like this:
az cosmosdb sql database throughput migrate \
--account-name account1 \
--name db1 \
--resource-group rg1 \
--throughput-type autoscale \
--max-throughput 40000
질문 # 144
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a container named container1 in an Azure Cosmos DB Core (SQL) API account. You need to make the contents of container1 available as reference data for an Azure Stream Analytics job.
Solution: You create an Azure Data Factory pipeline that uses Azure Cosmos DB Core (SQL) API as the input and Azure Blob Storage as the output.
Does this meet the goal?
정답：A
설명：
Instead create an Azure function that uses Azure Cosmos DB Core (SQL) API change feed as a trigger and Azure event hub as the output.
The Azure Cosmos DB change feed is a mechanism to get a continuous and incremental feed of records from an Azure Cosmos container as those records are being created or modified.
Change feed support works by listening to container for any changes. It then outputs the sorted list of documents that were changed in the order in which they were modified. The following diagram represents the data flow and components involved in the solution:
Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/sql/changefeed-ecommerce- solution
질문 # 145
You have a multi-region Azure Cosmos DB account named account1 that has a default consistency level of strong.
You have an app named App1 that is configured to request a consistency level of session.
How will the read and write operations of App1 be handled? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
정답：
설명：
Explanation
Box 1 = Write and replicate data to every region synchronously
This is because the write concern is mapped to the default consistency level configured on your Azure Cosmos DB account2, which is strong in this case. Strong consistency ensures that every write operation is synchronously committed to every region associated with your Azure Cosmos DB account1. The request level consistency level of session only applies to the read operations of App11.
Box 2: That has the lowest estimated latency to the client
This is because the read operations of App1 will use the session consistency level that is specified in the request options. Session consistency is a client-centric consistency model that guarantees monotonic reads, monotonic writes, and read-your-own-writes within a session. A session is scoped to a client connection or a stored procedure execution. Session consistency allows clients to read from any region that has the lowest latency to the client.
질문 # 146
You need to create a data store for a directory of small and medium-sized businesses (SMBs). The data store must meet the following requirements:
* Store companies and the users employed by them. Each company will have less than 1,000 users.
* Some users have data that is greater than 2 KB.
* Associate each user to only one company.
* Provide the ability to browse by company.
* Provide the ability to browse the users by company.
* Whenever a company or user profile is selected, show a details page for the company and all the related users.
* Be optimized for reading data.
Which design should you implement to optimize the data store for reading data?
정답：D
설명：
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 optimize the data store for reading data, 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 design that you could implement is B. In a company container, create a document for each company. Embed the users into company documents. Use the company ID as the partition key.
This design has the following advantages:
It stores companies and users as self-contained documents that can be easily retrieved by company ID1.
It avoids storing redundant data or creating additional containers for users1.
It allows you to browse by company and browse the users by company with simple queries1.
It shows a details page for the company and all the related users by fetching a single document1.
It leverages the benefits of embedding data, such as reducing the number of requests, improving query performance, and simplifying data consistency2.
This design also has some limitations, such as:
It may not be suitable for some users who 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 users need to be associated with more than one company or queried independently from companies2.
It may not be scalable for companies that have more than 1,000 users, as it could result in hot partitions or throttling2.
Depending on your specific use case and requirements, you may need to adjust this design 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.
질문 # 147
You have an Azure Cosmos DB for NoSQL account.
The change feed is enabled on a container named invoice.
You create an Azure function that has a trigger on the change feed.
What is received by the Azure function?
정답：B
설명：
Accordin g to the Azure Cosmos DB documentation 1 2 , the change feed is a persistent record of changes to a container in the order they occur. The change feed outputs the sorted list of documents that were changed in the order in which they were modified.
The Azure function that has a trigger on the ch ange feed receives all the properties of the updated items 2 .
The change feed does not include the original items or only the changed properties. The change feed also includes some system-defined properties such as _ts (the last modified timestamp) and _lsn (the logical sequence num ber) 3 .
Therefore, the correct answer is:
A). all the properties of the updated items
질문 # 148
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DP-420최신시험: https://www.itexamdump.com/DP-420.html
참고: Itexamdump에서 Google Drive로 공유하는 무료 2026 Microsoft DP-420 시험 문제집이 있습니다: https://drive.google.com/open?id=1qGXc6dUEr9x6NVlyS06PW_BVf_atNE_9