You need to develop a web-based AI solution for a customer support system. Users must be able to interact with a web app that will guide them to the best resource or answer.
Which service should you use?

• A.Custom Vision
• B.QnA Maker
• C.Translator Text
• D.Face

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You are developing a model to predict events by using classification.
You have a confusion matrix for the model scored on test data 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.

Correct Answer:

Explanation

Box 1: 11

TP = True Positive.
The class labels in the training set can take on only two possible values, which we usually refer to as positive or negative. The positive and negative instances that a classifier predicts correctly are called true positives (TP) and true negatives (TN), respectively. Similarly, the incorrectly classified instances are called false positives (FP) and false negatives (FN).
Box 2: 1,033
FN = False Negative
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio/evaluate-model-performance Finding TP is easy. It basically means the value where Predicted and True value is 1 and that is 11 in this case.
False Negative means where true value was 1 but predicted value was 0 and that is 1033 in this case The confusion matrix shows cases where both the predicted and actual values were 1 (known as true positives) at the top left, and cases where both the predicted and the actual values were 0 (true negatives) at the bottom right. The other cells show cases where the predicted and actual values differ (false positives and false negatives).
https://docs.microsoft.com/en-us/learn/modules/create-classification-model-azure-machine-learning-designer/eva

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You send an image to a Computer Vision API and receive back the annotated image shown in the exhibit.

Which type of computer vision was used?

• A.object detection
• B.semantic segmentation
• C.optical character recognition (OCR)
• D.image classification

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You are building an AI system.
Which task should you include to ensure that the service meets the Microsoft transparency principle for responsible AI?

• A.Ensure that all visuals have an associated text that can be read by a screen reader.
• B.Enable autoscaling to ensure that a service scales based on demand.
• C.Provide documentation to help developers debug code.
• D.Ensure that a training dataset is representative of the population.

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What is a use case for classification?

• A.predicting how many cups of coffee a person will drink based on how many hours the person slept the previous night.
• B.analyzing the contents of images and grouping images that have similar colors
• C.predicting whether someone uses a bicycle to travel to work based on the distance from home to work
• D.predicting how many minutes it will take someone to run a race based on past race times

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