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NEW QUESTION: 1
A. Option A
B. Option B
C. Option D
D. Option C
Answer: C
NEW QUESTION: 2
A. Option C
B. Option A
C. Option B
D. Option D
Answer: A,B,C
NEW QUESTION: 3
-- Exhibit -
-- Exhibit -
What is indicated by the performance chart shown?
A. Guest memory is overcommitted.
B. Guest is I/O constrained.
C. Host memory is overcommitted.
D. Host is I/O constrained.
Answer: C
NEW QUESTION: 4
You have an app that uses the Language Understanding (LUIS) API as shown in the following exhibit.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.
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