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Examen

AI-102 Exam Comprehensive Questions with Solutions Graded A+

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AI-102 Exam Comprehensive Questions with Solutions Graded A+

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Subido en
23 de noviembre de 2025
Número de páginas
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Escrito en
2025/2026
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AI-102 Exam Comprehensive
Questions and Solutions
Graded A+
What is the precision formula? - Answer: TP/(TP+FP)



What is the description of precision in machine learning? - Answer: Precision is the ratio of
correct positive predictions to the total number of positive predictions. Said another way, it
answers the question, "What percentage of the positive predictions were actually positive?"



What is the recall formula? - Answer: TP/(TP+FN)



What is the description of recall in machine learning? - Answer: Recall is the ratio of correct
positive predictions to the sum of true positives and the false negatives. Said another way, it
answers the question, "Out of the total number of true positives, how many did the model
predict to be true?"



What is the difference between precision and recall? - Answer: The main difference is the
population that the number of true positives is being compared to. With precision, population =
total number of positive predictions. With recall, population = total number of correct positives.



In video analyzer, when a video is done processing, how is the user notified? - Answer: Email.
The user will get an email with a link to the processed video and a summary of the people and
brands found in it.

, What resource is needed to make, train and deploy an NLP model? - Answer: Azure AI Language
Resource



What are the two ways you could build, train and deploy your language model? - Answer: 1.
REST API

2. Language Studio



How would you query your language model with the REST API? - Answer: 1. Create a POST
request to the appropriate url

2. Specify the version of the API being called

3. Specify the "kind" parameter in the body of the request

4. Create an authentication header with your active resource key



What is an utterance in Natural Language Processing (NLP)? - Answer: The phrases a user might
enter when interacting with an application that uses your language model. For example: "What
time is it?", "What is the time?", "Tell me the time." are all utterances that are used to convey
the intent to get the time.



What is an intent in NLP? - Answer: An intent represents the task or action the user wants to
perform. Said another way, it is the meaning of the utterance. For example, GetTime,
GetWheather and PowerOn are all examples of intent.



Are the relationships between intents and utterances 1-1? - Answer: No. For example there are
many ways to convey the intent to get the weather (e.g. What is the forcast?, What will the
weather be like today?, and Tell me the weather)



What are two examples where you might use the None intent? - Answer: 1. For utterances that
have no intent in them such as a greeting

2. For utterances that are outside the scope of your model's domain.

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