Microsoft Microsoft Certifications AI-102 Questions & Answers

• Question 101:

  You are developing a new sales system that will process the video and text from a public- facing website.

  You plan to notify users that their data has been processed by the sales system.

  Which responsible AI principle does this help meet?

  A. transparency

  B. fairness

  C. inclusiveness

  D. reliability and safety

  Correct Answer: A

  "When an AI application relies on personal data, such as a facial recognition system that takes images of people to recognize them; you should make it clear to the user how their data is used and retained, and who has access to it." from: https://docs.microsoft.com/en-us/learn/paths/prepare-for-ai-engineering/

• Question 102:

  You need to measure the public perception of your brand on social media messages. Which Azure Cognitive Services service should you use?

  A. Text Analytics

  B. Content Moderator

  C. Computer Vision

  D. Form Recognizer

  Correct Answer: A

  Text Analytics Cognitive Service could be used to quickly determine the public perception for a specific topic, event or brand.

  Example: A NodeJS app which pulls Tweets from Twitter using the Twitter API based on a specified search term. Then pass these onto Text Analytics for sentiment scoring before storing the data and building a visualisation in PowerBI. The Architecture looked something like this:

  

  Reference: https://www.linkedin.com/pulse/measuring-public-perception-azure-cognitive-services- steve-dalai

• Question 103:

  You need to build a chatbot that meets the following requirements: Supports chit-chat, knowledge base, and multilingual models Performs sentiment analysis on user messages Selects the best language model automatically

  What should you integrate into the chatbot?

  A. QnA Maker, Language Understanding, and Dispatch

  B. Translator, Speech, and Dispatch

  C. Language Understanding, Text Analytics, and QnA Maker

  D. Text Analytics, Translator, and Dispatch

  Correct Answer: C

  Language Understanding: An AI service that allows users to interact with your applications, bots, and IoT devices by using natural language.

  QnA Maker is a cloud-based Natural Language Processing (NLP) service that allows you to create a natural conversational layer over your data. It is used to find the most appropriate answer for any input from your custom knowledge base (KB) of information.

  Text Analytics: Mine insights in unstructured text using natural language processing (NLP)--no machine learning expertise required. Gain a deeper understanding of customer opinions with sentiment analysis. The Language Detection feature of the Azure Text Analytics REST API evaluates text input

  Reference: https://azure.microsoft.com/en-us/services/cognitive-services/text-analytics/ https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/overview/overview

• Question 104:

  You have an app named App1 that uses an Azure Cognitive Services model to identify anomalies in a time series data stream. You need to run App1 in a location that has limited connectivity. The solution must minimize costs. What should you use to host the model?

  A. Azure Kubernetes Services (AKS)

  B. a Kubernetes cluster hosted in an Azure Stack Hub integrated system

  C. Azure Container instances

  D. the Docker Engine

  Correct Answer: C

• Question 105:

  You need to enable speech capabilities for a chatbot.

  Which three actions should you perform? Each correct answer presents part of the solution.

  NOTE: Each correct selection is worth one point.

  A. Enable WebSockets for the chatbot app.

  B. Create a Speech service.

  C. Register a Direct Line Speech channel.

  D. Register a Cortana channel.

  E. Enable CORS for the chatbot app.

  F. Create a Language Understanding service.

  Correct Answer: ABC

  You can use the Speech service to voice-enable a chat bot.

  The Direct Line Speech channel uses the text-to-speech service, which has neural and standard voices.

  You'll need to make a small configuration change so that your bot can communicate with the Direct Line Speech channel using web sockets.

  Reference:

  https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/tutorial-voice- enable-your-bot-speech-sdk

• Question 106:

  You build a Language Understanding model by using the Language Understanding portal. You export the model as a JSON file as shown in the following sample.

  

  To what does the Weather.Historic entity correspond in the utterance?

  A. by month

  B. chicago

  C. rain

  D. location

  Correct Answer: A

• Question 107:

  You plan to provision a QnA Maker service in a new resource group named RG1.

  In RG1, you create an App Service plan named AP1.

  Which two Azure resources are automatically created in RG1 when you provision the QnA Maker service? Each correct answer presents part of the solution.

  NOTE: Each correct selection is worth one point.

  A. Language Understanding

  B. Azure SQL Database

  C. Azure Storage

  D. Azure Cognitive Search

  E. Azure App Service

  Correct Answer: DE

  Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/how-to/set-up-qnamaker-service-azure?tabs=v1#delete-azure-resources

  "When you create a QnAMaker resource, you host the data in your own Azure subscription. Azure Search is used to index your data." and "When you create a QnAMaker resource, you host the runtime in your own Azure subscription. App Service is the compute engine that runs the QnA Maker queries for you."

• Question 108:

  Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while

  others might not have a correct solution.

  After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

  You build a language model by using a Language Understanding service. The language model is used to search for information on a contact list by using an intent named FindContact.

  A conversational expert provides you with the following list of phrases to use for training.

  Find contacts in London. Who do I know in Seattle?

  Search for contacts in Ukraine.

  You need to implement the phrase list in Language Understanding.

  Solution: You create a new pattern in the FindContact intent.

  Does this meet the goal?

  A. Yes

  B. No

  Correct Answer: B

  Instead use a new intent for location.

  Note: An intent represents a task or action the user wants to perform. It is a purpose or goal expressed in a user's utterance.

  Define a set of intents that corresponds to actions users want to take in your application.

  Reference:

  https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-concept-intent

• Question 109:

  You are examining the Text Analytics output of an application.

  The text analyzed is: "Our tour guide took us up the Space Needle during our trip to Seattle last week."

  The response contains the data shown in the following table.

  

  Which Text Analytics API is used to analyze the text?

  A. Sentiment Analysis

  B. Named Entity Recognition

  C. Entity Linking

  D. Key Phrase Extraction

  Correct Answer: B

• Question 110:

  You are building a retail kiosk system that will use a custom neural voice. You acquire audio samples and consent from the voice talent. You need to create a voice talent profile. What should you upload to the profile?

  A. a five-minute wav or mp3 file of the voce talent describing the kiosk system

  B. a five-minute .flac audio file and the associated transcript as a w file

  C. a .wav or mp3 file of the voice talent consenting to the creation of a synthetic version of their voice

  D. a .zip file that contains 10-second .wav files and the associated transcripts as .txt files

  Correct Answer: C