QUESTION: 69

HOTSPOT (Drag and Drop is not supported)
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
Note: Each correct selection is worth one point.
Hot Area:

See Explanation section for answer.

Answer(s): A

Explanation:

Box 1: Yes
For regression problems, the label column must contain numeric data that represents the response variable. Ideally the numeric data represents a continuous scale.

Box 2: No
K-Means Clustering
Because the K-means algorithm is an unsupervised learning method, a label column is optional.
If your data includes a label, you can use the label values to guide selection of the clusters and optimize the model.
If your data has no label, the algorithm creates clusters representing possible categories, based solely on the data.

Box 3: No
For classification problems, the label column must contain either categorical values or discrete values. Some examples might be a yes/no rating, a disease classification code or name, or an income group. If you pick a noncategorical column, the component will return an error during training.

Reference:

https://docs.microsoft.com/en-us/azure/machine-learning/component-reference/train-model https://docs.microsoft.com/en-us/azure/machine-learning/component-reference/k-means-clustering

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QUESTION: 70

Your company wants to build a recycling machine for bottles. The recycling machine must automatically identify bottles of the correct shape and reject all other items.
Which type of AI workload should the company use?

anomaly detection
conversational AI
computer vision
natural language processing

Answer(s): C

Explanation:

Azure's Computer Vision service gives you access to advanced algorithms that process images and return information based on the visual features you're interested in. For example, Computer Vision can determine whether an image contains adult content, find specific brands or objects, or find human faces.

Reference:

https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview

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QUESTION: 71

HOTSPOT (Drag and Drop is not supported)
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
Note: Each correct selection is worth one point.
Hot Area:

See Explanation section for answer.

Answer(s): A

Explanation:

Reference:

https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/get-started-build-detector

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QUESTION: 72

In which two scenarios can you use the Form Recognizer service? Each correct answer presents a complete solution.
Note: Each correct selection is worth one point.

Extract the invoice number from an invoice.
Translate a form from French to English.
Find image of product in a catalog.
Identify the retailer from a receipt.

Answer(s): A,D

Reference:

https://azure.microsoft.com/en-gb/services/cognitive-services/form-recognizer/#features

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Free AI-900 Exam Braindumps (page: 18)

QUESTION: 69

Explanation:

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QUESTION: 70

Explanation:

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QUESTION: 71

Explanation:

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QUESTION: 72

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