AI-900 Online Practice Questions and Answers

Correct Answer:

Correct Answer:

Box 1: detection.

Attributes are a set of features that can optionally be detected by the Face - Detect API. The following attributes can be detected:

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Exposure. The exposure of the face in the image. This attribute returns a value between zero and one and an informal rating of underExposure, goodExposure, or overExposure.

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Noise. The visual noise detected in the face image. This attribute returns a value between zero and one and an informal rating of low, medium, or high.

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Occlusion. Whether there are objects blocking parts of the face. This attribute returns a Boolean value for eyeOccluded, foreheadOccluded, and mouthOccluded.

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Etc.

Reference: https://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-face-detection

Correct Answer:

Box 1: Reliability and safety

Reliability and safety: AI systems should perform reliably and safely.

Box 2: Privacy and security

Privacy and security: AI systems should be secure and respect privacy.

Incorrect:

Inclusiveness: AI systems should empower everyone and engage people.

Fairness: AI systems should treat all people fairly.

Reference: https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/strategy/responsible-ai

Correct Answer:

Box 1: Custom Vision

The Custom Vision service uses a machine learning algorithm to analyze images. You submit sets of images that have and don't have the visual characteristics you're looking for. Then you label the images with your own custom labels (tags)

at the time of submission. The algorithm trains to this data and calculates its own accuracy by testing itself on the same images. Once you've trained your model, you can test, retrain, and eventually use it in your image recognition app to

classify images or detect objects.

Box 2: Form Recognized

Box 3: Face

The Azure Face service provides AI algorithms that detect, recognize, and analyze human faces in images. Facial recognition software is important in many different scenarios, such as identity verification, touchless access control, and face

blurring for privacy.

Reference:

https://learn.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/overview

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

Correct Answer: B

Correct Answer: B

https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/split-data

Correct Answer: BC

B: Azure's Computer Vision service provides developers with 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.

C: Computer Vision includes Optical Character Recognition (OCR) capabilities. You can use the new Read API to extract printed and handwritten text from images and documents.

Reference:

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

Detect faces in an image - Face API

Microsoft Azure provides multiple cognitive services that you can use to detect and analyze faces, including:

Computer Vision, which offers face detection and some basic face analysis, such as determining age.

Video Indexer, which you can use to detect and identify faces in a video.

Face, which offers pre-built algorithms that can detect, recognize, and analyze faces.

Recognize hand written text - Read API

The Read API is a better option for scanned documents that have a lot of text. The Read API also has the ability to automatically determine the proper recognition model

Correct Answer: C

Correct Answer: A

Correct Answer: C