569 お客様のコメント
JPNTestでMicrosoft DP-800問題集をチョイスする理由
JPNTestは、1週間で完璧に認定試験を準備することができる、忙しい受験者に最適な問題集を提供しております。 DP-800の問題集は、Microsoftの専門家チームがベンダーの推奨する授業要綱を深く分析して作成されました。弊社のDP-800学習材料を一回のみ使用するだけで、Microsoft認証試験に合格することができます。
DP-800はMicrosoftの重要な認証であり、あなたの専門スキルを試す認定でもあります。受験者は、試験を通じて自分の能力を証明したいと考えています。 JPNTest Developing AI-Enabled Database Solutions は、Microsoft Certified: SQL AI Developerの89の問題と回答を収集して作成しました。Developing AI-Enabled Database Solutionsの知識ポイントをカバーし、候補者の能力を強化するように設計されています。 JPNTest DP-800受験問題集を使用すると、Developing AI-Enabled Database Solutionsに簡単に合格し、Microsoft認定を取得して、Microsoftとしてのキャリアをさらに歩むことができます。
あなたのDP-800試験合格を100%保証
JPNTestテスト問題集を初めて使用したときにMicrosoft Certified: SQL AI Developer DP-800試験（Developing AI-Enabled Database Solutions）に合格されなかった場合は、購入料金を全額ご返金いたします。
ダウンロード可能なインタラクティブDP-800テストエンジン
Microsoft Certified: SQL AI Developerの基礎準備資料問題集には、Microsoft Certified: SQL AI Developer DP-800試験を受けるために必要なすべての材料が含まれています。詳細は、正確で論理的なものを作成するために業界の経験を常に使用しているMicrosoft Certified: SQL AI Developer によって研究と構成されています。
DP-800試験の品質と価値
JPNTestのMicrosoft Certified: SQL AI Developer DP-800模擬試験問題集は、認定された対象分野の専門家と公開された作成者のみを使用して、最高の技術精度標準に沿って作成されています。
Microsoft DP-800 認定試験の出題範囲：
| トピック | 出題範囲 |
|---|---|
| トピック 1 |
|
| トピック 2 |
|
| トピック 3 |
|
参照：https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/dp-800
DP-800の迅速なアップデート対応
DP-800試験に変更がございました場合は、現在の試験と一致するよう、瞬時に学習資料を更新することができます。弊社は、お客様に最高、最新のMicrosoft DP-800問題集を提供することに専念しています。なお、ご購入いただいた製品は365日間無料でアップデートされます。
Microsoft Developing AI-Enabled Database Solutions 認定 DP-800 試験問題：
You have an Azure SQL database named SalesDB that supports an ecommerce application. SalesDB contains a table named dbo.Orders that has a clustered index on a column named orderid.
dbo.Orders receives continuous OLTP inserts and updates during business hours.
Your analytics team runs hourly aggregate queries that scan dbo.Orders to calculate revenue trends for recent dates.
You need to improve the performance of the hourly analytics queries without significantly affecting OLTP throughput. The solution must meet the following requirements:
Support near-real-time (NRT) analytics on the dbo.Orders table.
Reduce read time when retrieving analytical data from dbo.Orders.
Support indexing only rows that match a predicate, such as Active = 1.
Which type of index should you use for each requirement? To answer, drag the appropriate index types to the correct requirements. Each index type may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
正解：
Explanation:
You have an Azure SQL database.
You deploy Data API builder (DAB) to Azure Container Apps by using the mcr.nicrosoft.com/azure-databases
/data-api-builder:latest image.
You have the following Container Apps secrets:
* MSSQL_COMNECTiON_STRrNG that maps to the SQL connection string
* DAB_C0HFT6_BASE64 that maps to the DAB configuration
You need to initialize the DAB configuration to read the SQL connection string.
Which command should you run?
- A. dab init --database-type mssql --connection-string " secretref:DAB_CONFIG_BASE64 " --host-mode Production --config dab-config.json
- B. dab init --database-type mssql --connection-string " @env( ' DAB_CONFIG_BASE64 ' ) " --host-mode Production --config dab-config.json
- C. dab init --database-type mssql --connection-string " secretref:mssql-connection-string " --host-mode Production --config dab-config.json
- D. dab init --database-type mssql --connection-string " @env( ' MSSQL_CONNECTION_STRING ' ) " -- host-mode Production --config dab-config.json
正解：D 🗳️
解説: (JPNTest メンバーにのみ表示されます)
You have an Azure SQL database that contains a table named stores, stores contains a column named description and a vector column named embedding.
You need to implement a hybrid search query that meets the following requirements:
* Uses full-text search on description for the keyword portion
* Returns the top 20 results based on a combined score that uses a weighted formula of 60% vector distance and 40% full-text rank How should you configure the query components? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解：
Explanation:
For the vector portion, the correct choice is VECTOR_DISTANCE and order by distance ascending . The requirement is to build a combined weighted formula using the actual vector distance. Microsoft documents that VECTOR_DISTANCE returns the exact distance between two vectors. Since lower distance means greater similarity, ascending distance is the right direction for ranking. VECTOR_SEARCH is for ANN retrieval, but this hotspot specifically asks for a weighted formula based on distance , so VECTOR_DISTANCE is the appropriate operator.
For the keyword portion, the correct choice is CONTAINSTABLE on description and return ranked matches . Microsoft documents that CONTAINSTABLE returns a RANK column from 0 through 1000 , which is exactly what is needed for weighted scoring in a hybrid formula.
For the final ranking expression, the best choice is order by (distance * 0.6) + ((1.0 - RANK/1000.0) * 0.4) .
This works because vector distance is a lower-is-better metric, while full-text RANK is a higher-is-better metric. Dividing RANK by 1000 normalizes it to the documented range, and subtracting from 1.0 converts it into a lower-is-better term so both components can be combined consistently in one ascending score. This final step is a sound inference based on Microsoft's documented distance semantics and full-text rank range.
You have a Microsoft SQL Server 2025 instance that has a managed identity enabled.
You have a database that contains a table named dbo.ManualChunks. dbo.ManualChunks contains product manuals.
A retrieval query already returns the top five matching chunks as nvarchar(max) text.
You need to call an Azure OpenAI REST endpoint for chat completions. The solution must provide the highest level of security.
You write the following Transact-SG1 code.
What should you insert at line 02?
- A.
- B.
- C.
- D.
- E.
正解：A 🗳️
解説: (JPNTest メンバーにのみ表示されます)
You have an Azure SQL database named SalesDB on a logical server named sales-sql01.
You have an Azure App Service web app named OrderApi that connects to SalesDB by using SQL authentication.
You enable a user-assigned managed identity named OrderApi-Id for OrderApi.
You need to configure OrderApi to connect to SalesDB by using Microsoft Entra authentication. The managed identity must have read and write permissions to SalesDB.
Which Transact-SQL statements should you run in SalesDB?
- A. CREATE USER [OrderApi-Id] WITH PASSWORD = ' P@ssw0rd! ' ;
ALTER ROLE db_datareader ADD MEMBER [OrderApi-Id];
ALTER ROLE db_datawriter ADD MEMBER [OrderApi-Id]; - B. CREATE USER [OrderApi-Id] FROM EXTERNAL PROVIDER;
ALTER ROLE db_datareader ADD MEMBER [OrderApi-Id];
ALTER ROLE db_datawriter ADD MEMBER [OrderApi-Id]; - C. CREATE LOGIN [OrderApi-Id] FROM EXTERNAL PROVIDER;
ALTER ROLE db_datareader ADD MEMBER [OrderApi-Id];
ALTER ROLE db_datawriter ADD MEMBER [OrderApi-Id]; - D. CREATE LOGIN [OrderApi-Id] WITH PASSWORD = ' P@ssw0rd! ' ;
ALTER SERVER ROLE sysadmin ADD MEMBER [OrderApi-Id];
正解：B 🗳️
解説: (JPNTest メンバーにのみ表示されます)
全 18 ページ中 1 ページ目を表示しています。
全 89 問中 1-5 問目を表示しています。
0
0
0
0
