Microsoft Microsoft Certifications AI-102 Questions & Answers

• Question 201:

  You are building an app that will include one million scanned magazine articles. Each article will be stored as an image file.

  You need to configure the app to extract text from the images. The solution must minimize development effort.

  What should you include in the solution?

  A. Computer Vision Image Analysis

  B. the Read API in Computer Vision

  C. Form Recognizer

  D. Azure Cognitive Service for Language

  Correct Answer: B

  Use this interface to get the result of a Read operation, employing the state-of-the-art Optical Character Recognition (OCR) algorithms optimized for text-heavy documents.

  https://learn.microsoft.com/en-us/rest/api/computervision/3.2preview2/read/read?tabs=HTTP

• Question 202:

  You have a 20-GB video file named File1.avi that is stored on a local drive.

  You need to index File1.avi by using the Azure Video Indexer website.

  What should you do first?

  A. Upload File1.avi to an Azure Storage queue.

  B. Upload File1.avi to the Azure Video Indexer website.

  C. Upload File1.avi to Microsoft OneDrive.

  D. Upload File1.avi to the www.youtube.com webpage.

  Correct Answer: C

  Uploading Guidelines:

  Uploading files to Video Indexer

  Uploading a local file from your device

  Supported file formats include: .wmv, .avi, .mov.

  The file should be up to 2GB and up to 4 hours.

  You can upload up to 10 files at a time.

  Uploading an online file

  The URL should lead to an online media file (for example a OneDrive file),

  not a webpage (like www.youtube.com).

  The file should be up to 30GB and up to 4 hours.

  You can upload up to 10 files at a time.

• Question 203:

  You develop an application to identify species of flowers by training a Custom Vision model.

  You receive images of new flower species.

  You need to add the new images to the classifier.

  Solution: You add the new images, and then use the Smart Labeler tool.

  Does this meet the goal?

  A. Yes

  B. No

  Correct Answer: B

  The model need to be extended and retrained.

  Note: Smart Labeler to generate suggested tags for images. This lets you label a large number of images more quickly when training a Custom Vision model.

• Question 204:

  You have the following data sources: Finance: On-premises Microsoft SQL Server database Sales: Azure Cosmos DB using the Core (SQL) API Logs: Azure Table storage HR: Azure SQL database

  You need to ensure that you can search all the data by using the Azure Cognitive Search REST API. What should you do?

  A. Migrate the data in HR to Azure Blob storage.

  B. Migrate the data in HR to the on-premises SQL server.

  C. Export the data in Finance to Azure Data Lake Storage.

  D. Ingest the data in Logs into Azure Sentinel.

  Correct Answer: C

  https://learn.microsoft.com/en-us/azure/search/search-indexer-overview

• Question 205:

  You have an Azure Cognitive Services model named Model1 that identifies the intent of text input.

  You develop an app in C# named App1.

  You need to configure App1 to use Model1.

  Which package should you add to App1?

  A. Universal.Microsoft.CognitiveServices.Speech

  B. SpeechServicesToolkit

  C. Azure.AI.Language.Conversations

  D. Xamarin.Cognitive.Speech

  Correct Answer: C

  https://learn.microsoft.com/en-us/dotnet/api/overview/azure/ai.language.conversations-readme?view=azure-dotnet

  Conversational Language Understanding - aka CLU for short - is a cloud-based conversational AI service which provides many language understanding capabilities like:

  -Conversation App: It's used in extracting intents and entities in conversations

  Start by importing the namespace for the ConversationAnalysisClient and related class:

  -using Azure.AI.Language.Conversations;

• Question 206:

  You have the following C# function.

  

  You call the function by using the following code.

  

  Which output will you receive?

  A. The quick The lazy

  B. the quick brown fox jumps over the lazy dog

  C. jumps over the

  D. quick brown fox lazy dog

  Correct Answer: D

• Question 207:

  You have an Azure Cognitive Search solution and an enrichment pipeline that performs Sentiment Analysis on social media posts.

  You need to define a knowledge store that will include the social media posts and the Sentiment Analysis results.

  Which two fields should you include in the definition? Each correct answer presents part of the solution.

  A. storageContainer

  B. storageConnectionString

  C. files

  D. tables

  E. objects

  Correct Answer: BE

  https://learn.microsoft.com/en-us/azure/search/knowledge-store-concept-intro?tabs=portal#knowledge-store-definition A knowledge store is defined inside a skillset definition and it has two components:

  -A connection string to Azure Storage

  - Projections that determine whether the knowledge store consists of tables, objects or files. The projections element is an array. You can create multiple sets of table-object-file combinations within one knowledge store.

• Question 208:

  You create a bot by using the Microsoft Bot Framework SDK.

  You need to configure the bot to respond to events by using custom text responses.

  What should you use?

  A. a dialog

  B. an activity handler

  C. an adaptive card

  D. a skill

  Correct Answer: B

  https://learn.microsoft.com/en-us/azure/bot-service/bot-activity-handler-concept?view=azure-bot-service-4.0andtabs=csharp

• Question 209:

  You have a chatbot that uses question answering in Azure Cognitive Service for Language.

  Users report that the responses of the chatbot lack formality when answering spurious questions.

  You need to ensure that the chatbot provides formal responses to spurious questions.

  Solution: From Language Studio, you change the chitchat source to qna_chitchat_friendly.tsv, and then retrain and republish the model.

  Does this meet the goal?

  A. Yes

  B. No

  Correct Answer: B

  https://learn.microsoft.com/en-us/azure/cognitive-services/language-service/question-answering/how-to/chit-chat

• Question 210:

  You have a chatbot that uses question answering in Azure Cognitive Service for Language.

  Users report that the responses of the chatbot lack formality when answering spurious questions.

  You need to ensure that the chatbot provides formal responses to spurious questions.

  Solution: From Language Studio, you modify the question and answer pairs for the custom intents, and then retrain and republish the model.

  Does this meet the goal?

  A. Yes

  B. No

  Correct Answer: B

  https://learn.microsoft.com/en-us/azure/cognitive-services/language-service/question-answering/how-to/chit-chat