AI-900 practice questions 1–10

1. Question 1 · 236 in bank

   A company employs a team of customer service agents to provide telephone and email support to customers. The company develops a webchat bot to provide automated answers to common customer queries. Which business benefit should the company expect as a result of creating the webchat bot solution?

   • Aincreased sales
   • Ba reduced workload for the customer service agents
   • Cimproved product reliability

   Show answer

   Answer: B

   Explanation

   Vote for 'B' A. increased sales ==> Wrong (Chat Bot is just for answer queries, and it could be common queries like product status etc) - It will not increase sales. B. a reduced workload for the customer service agents ==> Correct (if answer will be given automatic by chat bot, it will reduce agent workload) C. improved product reliability ==> Wrong (No relation with product reliability which company is selling..)

   Source: Adapted from community discussion — sumanshu

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2. Question 2 · 236 in bank

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

   Reliability and safety: To build trust, it's critical that AI systems operate reliably, safely, and consistently under normal circumstances and in unexpected conditions. These systems should be able to operate as they were originally designed, respond safely to unanticipated conditions, and resist harmful manipulation. Reference: 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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3. Question 3 · 236 in bank

   Select 2

   You plan to develop a bot that will enable users to query a knowledge base by using natural language processing. Which two services should you include in the solution? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

   • AQnA Maker
   • BAzure Bot Service
   • CForm Recognizer
   • DAnomaly Detector

   Show answer

   Answer: AB

   Explanation

   I took the exam today 8/19/2022. The QnA has been replaced by "Language Service". I managed to pass the exam with the score of 916/1000.

   Source: Adapted from community discussion — idioteque

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4. Question 4 · 236 in bank

   Select 2

   In which two scenarios can you use a speech synthesis solution? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

   • Aan automated voice that reads back a credit card number entered into a telephone by using a numeric keypad
   • Bgenerating live captions for a news broadcast
   • Cextracting key phrases from the audio recording of a meeting
   • Dan AI character in a computer game that speaks audibly to a player

   Show answer

   Answer: AD

   Explanation

   Speech recognition - the ability to detect and interpret spoken input. Speech synthesis - the ability to generate spoken output.

   Source: Adapted from community discussion — Kline

   References

   • Microsoft Learn
   • Microsoft Learn

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5. Question 5 · 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. 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

   The translator service provides multi-language support for text translation, transliteration, language detection, and dictionaries. Speech-to-Text, also known as automatic speech recognition (ASR), is a feature of Speech Services that provides transcription. Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/Translator/translator-info-overview https://docs.microsoft.com/en-us/legal/cognitive-services/speech-service/speech-to-text/transparency-note

   Source: Adapted from community discussion — idioteque

   References

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

   

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6. Question 6 · 236 in bank

   DRAG DROP - You need to scan the news for articles about your customers and alert employees when there is a negative article. Positive articles must be added to a press book. Which natural language processing tasks should you use to complete the process? To answer, drag the appropriate tasks to the correct locations. Each task 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

   Box 1: Entity recognition - the Named Entity Recognition module in Machine Learning Studio (classic), to identify the names of things, such as people, companies, or locations in a column of text. Named entity recognition is an important area of research in machine learning and natural language processing (NLP), because it can be used to answer many real-world questions, such as: ✑ Which companies were mentioned in a news article? ✑ Does a tweet contain the name of a person? Does the tweet also provide his current location? ✑ Were specified products mentioned in complaints or reviews? Box 2: Sentiment Analysis - The Text Analytics API's Sentiment Analysis feature provides two ways for detecting positive and negative sentiment. If you send a Sentiment Analysis request, the API will return sentiment labels (such as "negative", "neutral" and "positive") and confidence scores at the sentence and document-level. Reference: https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/named-entity-recognition https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-sentiment-analysis

   Source: Adapted from community discussion — Radoslavov

   

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7. Question 7 · 236 in bank

   You are building a knowledge base by using QnA Maker. Which file format can you use to populate the knowledge base?

   • APPTX
   • BXML
   • CZIP
   • DPDF

   Show answer

   Answer: D

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8. Question 8 · 236 in bank

   In which scenario should you use key phrase extraction?

   • Aidentifying whether reviews of a restaurant are positive or negative
   • Bgenerating captions for a video based on the audio track
   • Cidentifying which documents provide information about the same topics
   • Dtranslating a set of documents from English to German

   Show answer

   Answer: C

   Explanation

   C - "Use key phrase extraction to quickly identify the main concepts in text. For example, in the text "The food was delicious and the staff were wonderful.", key phrase extraction will return the main topics: "food" and "wonderful staff"."

   Source: Adapted from community discussion — Radoslavov

   References

   • Microsoft Learn
   • Microsoft Learn
   • Microsoft Learn

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9. Question 9 · 236 in bank

   You have insurance claim reports that are stored as text. You need to extract key terms from the reports to generate summaries. Which type of AI workload should you use?

   • Anatural language processing
   • Bconversational AI
   • Canomaly detection
   • Dcomputer vision

   Show answer

   Answer: A

   Explanation

   The AI workload that could be used to extract key terms from text reports to generate summaries is Natural Language Processing (NLP).

   Source: Adapted from community discussion — XtraWest

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10. Question 10 · 236 in bank

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

    Natural language processing (NLP) is used for tasks such as sentiment analysis, topic detection, language detection, key phrase extraction, and document categorization. Reference: https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language-processing

    

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AI-900 practice, question 1. 236 questions available.