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Microsoft Certified: Azure AI Fundamentals
AI-900
Microsoft Azure AI Fundamentals Questions and Answers

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Viewing questions 51-60 out of questions

Questions # 51:

What are two tasks that can be performed by using computer vision? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

Options:

Predict stock prices.

Detect brands in an image.

Detect the color scheme in an image

Translate text between languages.

Extract key phrases.

Answer

B, C

Questions # 52:

Match the types of machine learning to the appropriate scenarios.

To answer, drag the appropriate machine learning type from the column on the left to its scenario on the right. Each machine learning type may be used once, more than once, or not at all.

NOTE: Each correct selection is worth one point.

Question # 52

Options:

Answer

Answer:

Explanation

Box 1: Image classification

Image classification is a supervised learning problem: define a set of target classes (objects to identify in images), and train a model to recognize them using labeled example photos.

Box 2: Object detection

Object detection is a computer vision problem. While closely related to image classification, object detection performs image classification at a more granular scale. Object detection both locates and categorizes entities within images.

Box 3: Semantic Segmentation

Semantic segmentation achieves fine-grained inference by making dense predictions inferring labels for every pixel, so that each pixel is labeled with the class of its enclosing object ore region.

[Reference:, https://developers.google.com/machine-learning/practica/image-classification, , https://docs.microsoft.com/en-us/dotnet/machine-learning/tutorials/object-detection-model-builder, , https://nanonets.com/blog/how-to-do-semantic-segmentation-using-deep-learning/, , , ]

Questions # 53:

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?

Options:

anomaly detection

conversational AI

computer vision

natural language processing

Answer

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, , , , ]

Questions # 54:

Match the facial recognition tasks to the appropriate questions.

To answer, drag the appropriate task from the column on the left to its question on the right. Each task may be used once, more than once, or not at all.

NOTE: Each correct selection is worth one point.

Question # 54

Options:

Answer

Answer:

Explanation

Box 1: verification

Face verification: Check the likelihood that two faces belong to the same person and receive a confidence score.

Box 2: similarity

Box 3: Grouping

Box 4: identification

Face detection: Detect one or more human faces along with attributes such as: age, emotion, pose, smile, and facial hair, including 27 landmarks for each face in the image.

[Reference:, https://azure.microsoft.com/en-us/services/cognitive-services/face/#features, , , , ]

Questions # 55:

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

Question # 55

Which type of computer vision was used?

Options:

object detection

semantic segmentation

optical character recognition (OCR)

image classification

Answer

Explanation

Object detection is similar to tagging, but the API returns the bounding box coordinates (in pixels) for each object found. For example, if an image contains a dog, cat and person, the Detect operation will list those objects together with their coordinates in the image. You can use this functionality to process the relationships between the objects in an image. It also lets you determine whether there are multiple instances of the same tag in an image.

The Detect API applies tags based on the objects or living things identified in the image. There is currently no formal relationship between the tagging taxonomy and the object detection taxonomy. At a conceptual level, the Detect API only finds objects and living things, while the Tag API can also include contextual terms like "indoor", which can't be localized with bounding boxes.

[Reference:, https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-object-detection, , , , ]

Questions # 56:

Which type of natural language processing (NLP) entity is used to identify a phone number?

Options:

regular expression

machine-learned

list

Pattern-any

Answer

Questions # 57:

To complete the sentence, select the appropriate option in the answer area.

Question # 57

Options:

Answer

Answer:

Explanation

With Microsoft’s Conversational AI tools developers can build, connect, deploy, and manage intelligent bots that naturally interact with their users on a website, app, Cortana, Microsoft Teams, Skype, Facebook Messenger, Slack, and more.

[Reference:, https://azure.microsoft.com/en-in/blog/microsoft-conversational-ai-tools-enable-developers-to-build-connect-and-manage-intelligent-bots, , , ]

Questions # 58:

You need to make the press releases of your company available in a range of languages.

Which service should you use?

Options:

Translator Text

Text Analytics

Speech

Language Understanding (LUIS)

Answer

Explanation

Press release is a written communication. Speech wouldn't make sense. Plus, the Speech service doesn't translate languages, it "translates" audio into text, and vice versa.

https://docs.microsoft.com/en-us/learn/modules/translate-text-with-translation-service/2-get-started-azure

Questions # 59:

Which AI service can you use to interpret the meaning of a user input such as “Call me back later?”