AI-900 practice questions 151–160

1. Question 151 · 236 in bank

   DRAG DROP - Match the machine learning models to the appropriate descriptions. To answer, drag the appropriate model from the column on the left to its description on the right. Each model may be used once, more than once, or not at all. NOTE: Each correct match is worth one point.

   

   This is an interactive task on the real exam — a drag-and-drop, hotspot or ordering question. There is nothing to select here, so the answer is shown below for reference.

   Show the answer figure

   Answer: See figure below

   

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2. Question 152 · 236 in bank

   HOTSPOT - Select the answer that correctly completes the sentence. Hot Area:

   

   This is an interactive task on the real exam — a drag-and-drop, hotspot or ordering question. There is nothing to select here, so the answer is shown below for reference.

   Show the answer figure

   Answer: See figure below

   Explanation

   Fairness is a core ethical principle that all humans aim to understand and apply. This principle is even more important when AI systems are being developed. Key checks and balances need to make sure that the system's decisions don't discriminate or run a gender, race, sexual orientation, or religion bias toward a group or individual. Reference: https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai

   

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3. Question 153 · 236 in bank

   You are building a tool that will process images from retail stores and identify the products of competitors. The solution must be trained on images provided by your company. Which Azure AI service should you use?

   • AForm Recognizer
   • BCustom Vision
   • CFace
   • DComputer Vision

   Show answer

   Answer: B

   Explanation

   B - Custom vision. The keywords are "must be trained on images provided by your company" - meaning the use of custom data.

   Source: Adapted from community discussion — Castiel

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4. Question 154 · 236 in bank

   HOTSPOT - Select the answer that correctly completes the sentence.

   

   This is an interactive task on the real exam — a drag-and-drop, hotspot or ordering question. There is nothing to select here, so the answer is shown below for reference.

   Show the answer figure

   Answer: See figure below

   Explanation

   Predicting how many hours of overtime a delivery person will work based on the number of orders received is an example of a regression model. Regression is used for predicting numerical values based on input data, which in this case is the number of hours of overtime based on the number of orders.

   Source: Adapted from community discussion — gpt_test

   

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5. Question 155 · 236 in bank

   Predicting agricultural yields based on weather conditions and soil quality measurements is an example of which type of machine learning model?

   • Aclassification
   • Bregression
   • Cclustering

   Show answer

   Answer: B

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6. Question 156 · 236 in bank

   You need to identify street names based on street signs in photographs. Which type of computer vision should you use?

   • Aobject detection
   • Boptical character recognition (OCR)
   • Cimage classification
   • Dfacial recognition

   Show answer

   Answer: B

   Explanation

   B. optical character recognition (OCR) OCR is specifically designed to identify and read printed or handwritten text within images, which is necessary for extracting street names from photographs of street signs. Incorrect Options: A. Object detection: While this could identify the presence of a street sign in an image, it wouldn't read the text on the sign. C. Image classification: This would categorize the image but not provide the detailed text information from the street signs. D. Facial recognition: This is used for identifying and verifying individuals from images or video frames, not for text extraction.

   Source: Adapted from community discussion — gpt_test

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7. Question 157 · 236 in bank

   DRAG DROP - Match the types of computer vision workloads to the appropriate scenarios. To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all. NOTE: Each correct selection is worth one point.

   

   This is an interactive task on the real exam — a drag-and-drop, hotspot or ordering question. There is nothing to select here, so the answer is shown below for reference.

   Show the answer figure

   Answer: See figure below

   Explanation

   Image classification -> Generate captions for images. Object detection -> Locate vehicles in images. Optical character recognition (OCR) -> Extract movie title names from movie poster images.

   Source: Adapted from community discussion — gpt_test

   References

   • Microsoft Learn

   

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8. Question 158 · 236 in bank

   You have a bot that identifies the brand names of products in images of supermarket shelves. Which service does the bot use?

   • AAI enrichment for Azure Search capabilities
   • BComputer Vision Image Analysis capabilities
   • CCustom Vision Image Classification capabilities
   • DLanguage Understanding capabilities

   Show answer

   Answer: B

   Explanation

   For a bot that identifies brand names of products in images of supermarket shelves, the service used is: B. Computer Vision Image Analysis capabilities Computer Vision can analyze images to detect and identify objects and text, making it ideal for recognizing brand names in images. Incorrect Options: A. AI enrichment for Azure Search capabilities: This is more for enhancing search capabilities with AI, not specifically for image analysis. C. Custom Vision Image Classification capabilities: While it can classify images, Custom Vision requires specific training for each brand, which might not be practical for a wide range of supermarket products. D. Language Understanding capabilities: This service is used for understanding spoken or written language, not for image analysis.

   Source: Adapted from community discussion — gpt_test

   References

   • Microsoft Learn

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9. Question 159 · 236 in bank

   You are developing a chatbot solution in Azure. Which service should you use to determine a user’s intent?

   • ATranslator
   • BLanguage
   • CAzure Cognitive Search
   • DSpeech

   Show answer

   Answer: B

   Explanation

   For developing a chatbot in Azure and determining a user's intent, you should use: B. Language Azure Language Service (formerly known as Text Analytics) includes features for understanding user intent from text inputs, making it suitable for chatbots. Incorrect Options: A. Translator: Used for language translation, not for intent recognition. C. Azure Cognitive Search: Primarily used for search capabilities within large datasets, not for interpreting user intent. D. Speech: Focused on converting speech to text and vice versa, not directly on understanding intent.

   Source: Adapted from community discussion — gpt_test

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10. Question 160 · 236 in bank

    DRAG DROP - Match the types of AI workloads to the appropriate scenarios. To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all. NOTE: Each correct selection is worth one point. Select and Place:

    

    This is an interactive task on the real exam — a drag-and-drop, hotspot or ordering question. There is nothing to select here, so the answer is shown below for reference.

    Show the answer figure

    Answer: See figure below

    Explanation

    Box 1: Knowledge mining - You can use Azure Cognitive Search's knowledge mining results and populate your knowledge base of your chatbot. Box 2: Computer vision - Box 3: Natural language processing Natural language processing (NLP) is used for tasks such as sentiment analysis. Reference: https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language-processing

    Source: Adapted from community discussion — zellck

    References

    • azure.microsoft.com documentation
    • Microsoft Learn
    • Microsoft Learn
    • Microsoft Learn

    

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AI-900 practice, question 151. 236 questions available.