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NEW QUESTION: 1
次のTransact-SQLステートメントを実行して、sales.ordersという名前のテーブルを作成します。

sales.ordersから削除
orderdate <'2012-01-01'およびshippingdateがnullではない場合
Answer:
Explanation:
See the explanation
Explanation
DELETE FROM Sales.OrdersWHERE OrderDate '2012-01-01' AND ShippedDate NOT NULL
https://msdn.microsoft.com/en-us/library/ms189835.aspx
https://msdn.microsoft.com/en-us/library/bb630352.aspx

NEW QUESTION: 2
You are using Microsoft Dynamics 365 to track competitors.
A user has closed an opportunity as lost but the user forgot to add the correct competitor in the process.
How should you instruct the user to ensure the correct competitor is tracked?
A. Ask the user to open the opportunity close record associated with the opportunity, and add the competitor.
B. Ask the user to reopen the opportunity, and add the competitor association directly to the opportunity.
C. Ask the user to reopen the opportunity, repeat the close process, and add the competitor during this process.
D. Ask the user to change the competitor association on the opportunity record.
Answer: C

NEW QUESTION: 3
What information is required when creating a prospect manually?
A. Campaign, Company, Email, Score
B. Campaign, Email, Full Name, Profile
C. Account, Email, Profile, Score
D. Campaign, Email, Profile, Score
Answer: D
Explanation:
Explanation
https://static1.squarespace.com/static/54359ec1e4b0d2eefcc96bb0/t/5b930f624ae2373f8cb06bad/153636438862


NEW QUESTION: 4
次の展示に示すように、Language Understanding(LUIS)APIを使用するアプリがあります。

ドロップダウンメニューを使用して、図に示されている情報に基づいて各ステートメントを完成させる回答の選択肢を選択します。
注:それぞれの正しい選択には1ポイントの価値があります。

Answer:
Explanation:

Explanation

Box 1: train
Utterances are input from the user that your app needs to interpret. To train LUIS to extract intents and entities from them, it's important to capture a variety of different example utterances for each intent. Active learning, or the process of continuing to train on new utterances, is essential to machine-learned intelligence that LUIS provides.
Box 2: creating intents
Each intent needs to have example utterances, at least 15. If you have an intent that does not have any example utterances, you will not be able to train LUIS. If you have an intent with one or very few example utterances, LUIS will not accurately predict the intent.
Box 3: never published
In each iteration of the model, do not add a large quantity of utterances. Add utterances in quantities of 15.
Train, publish, and test again.
References:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-concept-utteran3ce