DP-201 試験問題を無料オンラインアクセス

試験コード:DP-201
試験名称:Designing an Azure Data Solution
認定資格:Microsoft
無料問題数:207
更新日:2026-05-26
評価
100%

問題 1

You are designing an Azure Databricks cluster that runs user-defined local processes.
You need to recommend a cluster configuration that meets the following requirements:
* Minimize query latency.
* Reduce overall costs.
* Maximize the number of users that can run queries on the cluster at the same time.
Which cluster type should you recommend?

問題 2

You need to recommend a storage solution for a sales system that will receive thousands of small files per minute. The files will be in JSON, text, and CSV formats. The files will be processed and transformed before they are loaded into an Azure data warehouse. The files must be stored and secured in folders.
Which storage solution should you recommend?

問題 3

You need to optimize storage for CONT_SQL3.
What should you recommend?

問題 4

You are designing a data store that will store organizational information for a company. The data will be used to identify the relationships between users. The data will be stored in an Azure Cosmos DB database and will contain several million objects.
You need to recommend which API to use for the database. The API must minimize the complexity to query the user relationships. The solution must support fast traversals.
Which API should you recommend?

問題 5

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.
A company is developing a solution to manage inventory data for a group of automotive repair shops. The solution will use Azure SQL Data Warehouse as the data store.
Shops will upload data every 10 days.
Data corruption checks must run each time data is uploaded. If corruption is detected, the corrupted data must be removed.
You need to ensure that upload processes and data corruption checks do not impact reporting and analytics processes that use the data warehouse.
Proposed solution: Insert data from shops and perform the data corruption check in a transaction. Rollback transfer if corruption is detected.
Does the solution meet the goal?

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