AI-900 practice questions 101–110

1. Question 101 · 236 in bank

   HOTSPOT - To complete the sentence, select the appropriate option in the answer 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

   It doesnt really matter which it is as Microsoft discontinues these parts of concept face detection. Question therefore outdated. "Microsoft will be retiring facial recognition capabilities that can be used to try to infer emotional states and identity attributes which, if misused, can subject people to stereotyping, discrimination or unfair denial of services. These include capabilities that predict emotion, gender, age, smile, facial hair, hair and makeup. Existing customers have until June 30, 2023 to discontinue use of these capabilities before they are retired. " https://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-face-detection

   Source: Adapted from community discussion — AzlearnRB

   References

   • Microsoft Learn
   • Microsoft Learn
   • Microsoft Learn
   • Microsoft Learn

   

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2. Question 102 · 236 in bank

   DRAG DROP - Match the Azure Cognitive Services to the appropriate AI workloads. To answer, drag the appropriate service from the column on the left to its workload on the right. Each service 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

   Explanation

   https://learn.microsoft.com/en-us/azure/applied-ai-services/form-recognizer/overview?view=form-recog-3.0.0 Azure Form Recognizer is a cloud-based Azure Applied AI Service that enables you to build intelligent document processing solutions. Massive amounts of data, spanning a wide variety of data types, are stored in forms and documents. Form Recognizer enables you to effectively manage the velocity at which data is collected and processed and is key to improved operations, informed data-driven decisions, and enlightened innovation. https://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview-identity 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.

   Source: Adapted from community discussion — zellck

   References

   • Microsoft Learn
   • Microsoft Learn
   • Microsoft Learn

   

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3. Question 103 · 236 in bank

   You need to implement a pre-built solution that will identify well-known brands in digital photographs. Which Azure Cognitive Services service should you use?

   • ACustom Vision
   • BForm Recognizer
   • CFace
   • DComputer Vision

   Show answer

   Answer: D

   Explanation

   D is the answer. https://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-brand-detection Brand detection is a specialized mode of object detection that uses a database of thousands of global logos to identify commercial brands in images or video. You can use this feature, for example, to discover which brands are most popular on social media or most prevalent in media product placement. The Computer Vision service detects whether there are brand logos in a given image; if there are, it returns the brand name, a confidence score, and the coordinates of a bounding box around the logo.

   Source: Adapted from community discussion — zellck

   References

   • Microsoft Learn

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4. Question 104 · 236 in bank

   Natural language processing can be used to __________. Select the answer that correctly completes the sentence.

   • AAnalyze video content
   • BGenerate speech
   • CClassify email messages as work-related or personal.
   • DClassify images

   Show answer

   Answer: C

   Explanation

   I think B is also a correct answer, check the Microsoft AI fundamental self-learning web site Recognize and synthesize speech with Azure AI Speech (https://learn.microsoft.com/en-us/training/modules/recognize-synthesize-speech/) this section is under Explore natural language processing training module (https://learn.microsoft.com/en-us/training/paths/explore-natural-language-processing/)

   Source: Adapted from community discussion — vlu

   References

   • Microsoft Learn
   • Microsoft Learn
   • Microsoft Learn

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5. Question 105 · 236 in bank

   HOTSPOT - For each of the following statements, select Yes if the statement is true. Otherwise, select No. 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

   References

   • Microsoft Learn

   

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6. Question 106 · 236 in bank

   An app that analyzes social media posts to identify their tone is an example of which type of natural language processing (NLP) workload?

   • Asentiment analysis
   • Bspeech recognition
   • Ckey phrase extraction
   • Dentity recognition

   Show answer

   Answer: A

   Explanation

   An app that analyzes social media posts to identify their tone is an example of a sentiment analysis natural language processing (NLP) workload.

   Source: Adapted from community discussion — XtraWest

   References

   • Microsoft Learn
   • Microsoft Learn
   • Microsoft Learn

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7. Question 107 · 236 in bank

   You are building a chatbot that will use natural language processing (NLP) to perform the following actions based on the text input of a user. • Accept customer orders. • Retrieve support documents. • Retrieve order status updates. Which type of NLP should you use?

   • Asentiment analysis
   • Bnamed entity recognition
   • Ctranslation
   • Dlanguage modeling

   Show answer

   Answer: B

   Explanation

   I think given answer is correct. the most suitable type of natural language processing (NLP) to use would be named entity recognition (B). Named entity recognition involves identifying and classifying specific named entities within text, such as customer orders, support documents, and order status updates. By applying named entity recognition, the chatbot can extract the relevant information from user input and perform the corresponding actions accordingly. Sentiment analysis (A) focuses on analyzing emotions and opinions expressed in text, which is not directly related to the actions described. Translation (C) involves converting text from one language to another, which is not necessary for the described actions. Language modeling (D) involves predicting the next word or phrase in a given context, which is not directly applicable to the described actions either. (Chat GPT)

   Source: Adapted from community discussion — rdemontis

   References

   • Microsoft Learn

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8. Question 108 · 236 in bank

   For a machine learning progress, how should you split data for training and evaluation?

   • AUse features for training and labels for evaluation.
   • BRandomly split the data into rows for training and rows for evaluation.
   • CUse labels for training and features for evaluation.
   • DRandomly split the data into columns for training and columns for evaluation.

   Show answer

   Answer: B

   Explanation

   Vote for 'B' A. Use features for training and labels for evaluation. ==> Wrong (Training need both features and labels) B. Randomly split the data into rows for training and rows for evaluation. ==> Correct (few data used for training and on few data we can evaluate performance of model) , (so split in rows) C. Use labels for training and features for evaluation. ==> Wrong (for training we need both features and labels) D. Randomly split the data into columns for training and columns for evaluation. ==> Wrong (Data will be split row -wise)

   Source: Adapted from community discussion — sumanshu

   References

   • Microsoft Learn

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9. Question 109 · 236 in bank

   DRAG DROP - Match the principles of responsible AI to appropriate requirements. To answer, drag the appropriate principles from the column on the left to its requirement on the right. Each principle may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content. 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

   Reference: https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles

   Source: Adapted from community discussion — zellck

   References

   • Microsoft Learn

   

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10. Question 110 · 236 in bank

    DRAG DROP - Match the Azure Cognitive Services service to the appropriate actions. To answer, drag the appropriate service from the column on the left to its action on the right. Each service 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

    1. Speech 2. Language Service 3. Language Service https://learn.microsoft.com/en-us/azure/cognitive-services/speech-service/overview The Speech service provides speech to text and text to speech capabilities with an Speech resource. You can transcribe speech to text with high accuracy, produce natural-sounding text to speech voices, translate spoken audio, and use speaker recognition during conversations.

    Source: Adapted from community discussion — zellck

    References

    • Microsoft Learn
    • Microsoft Learn

    

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AI-900 practice, question 101. 236 questions available.