Test Online Free Microsoft AI-102 Exam Questions and Answers

• A. Fiddler
• B. Bot Framework Composer
• C. Bot Framework Emulator
• D. Bot Framework CLI
• E. ngrok
• F. nginx

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• A. transparency
• B. fairness
• C. inclusiveness
• D. reliability and safety
• E. privacy and security

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• A. Content Moderator
• B. Form Recognizer
• C. Computer Vision
• D. Language service

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HOTSPOT
Select the answer that correctly completes the sentence.

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Answer:

• A. Create a person model and associate the model to the videos.
• B. Create person objects and provide face images for each object.
• C. Invite the entire staff of the company to Video Indexer.
• D. Edit the faces in the videos.
• E. Upload names to a language model.

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DRAG DROP
You are building a retail chatbot that will use a QnA Maker service.
You upload an internal support document to train the model. The document contains the following question: "What is your warranty period?"
Users report that the chatbot returns the default QnA Maker answer when they ask the following question: "How long is the warranty coverage?"
The chatbot returns the correct answer when the users ask the following question: 'What is your warranty period?"
Both questions should return the same answer.
You need to increase the accuracy of the chatbot responses.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. (Choose three.)

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Answer:


Explanation:
Step 1: Add alternative phrasing to the question and answer (QnA) pair.
Add alternate questions to an existing QnA pair to improve the likelihood of a match to a user query.
Step 2: Retrain the model.
Periodically select Save and train after making edits to avoid losing changes.
Step 3: Republish the model
Note: A knowledge base consists of question and answer (QnA) pairs. Each pair has one answer and a pair contains all the information associated with that answer.

• A. Azure Files
• B. Azure Blob
• C. Azure Table
• D. Azure Queue

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HOTSPOT
You are developing an application that will use the Computer Vision client library.
The application has the following code.



For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.

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Answer:

• A. transparency
• B. fairness
• C. inclusiveness
• D. reliability and safety

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HOTSPOT
You have a library that contains thousands of images.
You need to tag the images as photographs, drawings, or clipart.
Which service endpoint and response property should you use? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

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Answer:

• A. Azure Metrics Advisor
• B. Form Recognizer
• C. Azure Machine teaming
• D. Anomaly Detector

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HOTSPOT
You are developing a text processing solution.
You develop the following method.



You call the method by using the following code.
GetKeyPhrases(textAnalyticsClient, "the cat sat on the mat");
For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.

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Answer:


Explanation:
Box 1: Yes
The Key Phrase Extraction API evaluates unstructured text, and for each JSON document, returns a list of key phrases.
Box 2: No
'the' is not a key phrase.
This capability is useful if you need to quickly identify the main points in a collection of documents. For example, given input text "The food was delicious and there were wonderful staff", the service returns the main talking points: "food" and "wonderful staff".
Box 3: No
Key phrase extraction does not have confidence levels.

HOTSPOT
You plan to deploy a containerized version of an Azure Cognitive Services service that will be used for text analysis.
You configure https://contoso.cognitiveservices.azure.com as the endpoint URI for the service, and you pull the latest version of the Text Analytics Sentiment Analysis container.
You need to run the container on an Azure virtual machine by using Docker.
How should you complete the command? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

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Answer:


Explanation:
Box 1: mcr.microsoft.com/azure-cognitive-services/textanalytics/sentiment
To run the Sentiment Analysis v3 container, execute the following docker run command. docker run --rm -it -p 5000:5000 --memory 8g --cpus 1 \ mcr.microsoft.com/azure-cognitive-services/textanalytics/sentiment \ Eula=accept \
Billing={ENDPOINT_URI} \
ApiKey={API_KEY} is the endpoint for accessing the Text Analytics API. https://<your-custom-subdomain>.cognitiveservices.azure.com
Box 2: https://contoso.cognitiveservices.azure.com
{ENDPOINT_URI} is the endpoint for accessing the Text Analytics API: https://<your-custom-subdomain>.cognitiveservices.a The endpoint for accessing the Text Analytics API. zure.com
Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-install-containers?tabs=sentiment

• A. Split the data into multiple blob containers. Create a Cognitive Search service for each container. Within each indexer definition, schedule the same runtime execution pattern.
• B. Split the data into multiple blob containers. Create an indexer for each container. Increase the search units. Within each indexer definition, schedule a sequential execution pattern.
• C. Create a Cognitive Search service for each type of document.
• D. Split the data into multiple virtual folders. Create an indexer for each folder. Increase the search units. Within each indexer definition, schedule the same runtime execution pattern.

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Topic 2, Contoso, Ltd.Case Study

This is a case study Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.

To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.

At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.

To start the case study
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab. note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.

General Overview
Contoso, Ltd. is an international accounting company that has offices in France. Portugal, and the United Kingdom.
Contoso has a professional services department that contains the roles shown in the following table.




Infrastructure
Contoso has the following subscriptions:
• Azure
• Microsoft 365
• Microsoft Dynamics 365
Azure Active (Azure AD) Directory
Contoso has Azure Active Directory groups for securing role-based access.
The company uses the following group naming conventions:
• ICountryJ-[Levell-[Role]
• [Level]-[Role]
Intellectual Property
Contoso has the intellectual property shown in the following table.



Text-based content is provided only in one language and is not translated.

Planned Projects
Contoso plans to develop the following:
• A document processing workflow to extract information automatically from PDFs and images of financial documents
• A customer-support chatbot that will answer questions by using FAQs
• A searchable knowledgebase of all the intellectual property

Technical Requirements
Contoso identifies the following technical requirements:
• All content must be approved before being published.
• All planned projects must support English, French, and Portuguese.
• All content must be secured by using role-based access control (RBAC).
• RBAC role assignments must use the principle of least privilege.
• RBAC roles must be assigned only to Azure Active Directory groups.
• Al solution responses must have a confidence score that is equal to or greater than 70 percent.
• When the response confidence score of an Al response is lower than 70 percent, the response must be improved by human input.

Chatbot Requirements
Contoso identifies the following requirements for the chatbot:
• Provide customers with answers to the FAQs.
• Ensure that the customers can chat to a customer service agent.
• Ensure that the members of a group named Management-Accountants can approve the FAQs.
• Ensure that the members of a group named Consultant-Accountants can create and amend the FAQs.
• Ensure that the members of a group named the Agent-CustomerServices can browse the FAQs.
• Ensure that access to the customer service agents is managed by using Omnichannel for Customer Service.
• When the response confidence score is low. ensure that the chatbot can provide other response options to the customers.

Document Processing Requirements
Contoso identifies the following requirements for document processing:
• The document processing solution must be able to process standardized financial documents that have the following characteristics:
• Contain fewer than 20 pages.
• Be formatted as PDF or JPEG files.
• Have a distinct standard for each office.
• The document processing solution must be able to extract tables and text from the financial documents.
• The document processing solution must be able to extract information from receipt images.
• Members of a group named Management-Bookkeeper must define how to extract tables from the financial documents.
• Members of a group named Consultant-Bookkeeper must be able to process the financial documents.

Knowledgebase Requirements
Contoso identifies the following requirements for the knowledgebase:
• Supports searches for equivalent terms
• Can transcribe jargon with high accuracy
• Can search content in different formats, including video
• Provides relevant links to external resources for further research

You are developing the knowledgebase by using Azure Cognitive Search.
You need to process wiki content to meet the technical requirements.
What should you include in the solution?

• A. an indexer for Azure Blob storage attached to a skillset that contains the language detection skill and the text translation skill
• B. an indexer for Azure Blob storage attached to a skillset that contains the language detection skill
• C. an indexer for Azure Cosmos DB attached to a skillset that contains the document extraction skill and the text translation skill
• D. an indexer for Azure Cosmos DB attached to a skillset that contains the language detection skill and the text translation skill

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