AI-102 Practice Test Questions Updated 116 Questions [Q20-Q43]

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AI-102 Practice Test Questions Updated 116 Questions

Microsoft AI-102 Dumps – Secret To Pass in First Attempt

Topics of AI-102: Designing and Implementing an Azure AI Solution Exam

Candidates should apprehend the examination topics before they begin of preparation.
because it’ll extremely facilitate them in touch the core. Our AI-102 exam dumps will include the following topics:

1. Analyze solution requirements (25-30%)

Recommend Cognitive Services APIs to meet business requirements

Identify components and technologies required to connect service endpoints
Identify automation requirements
Select the processing architecture for a solution
Select the appropriate data processing technologies
Select the appropriate AI models and services

Map security requirements to tools, technologies, and processes

Identify which users and groups have access to information and interfaces
Identify auditing requirements
Identify processes and regulations needed to conform with data privacy, protection, and regulatory requirements
Identify appropriate tools for a solution

Select the software, services, and storage required to support a solution

Identify integration points with other Microsoft services
Identify storage required to store logging, bot state data, and Cognitive Services output
Identify appropriate services and tools for a solution

2. Design AI solutions (40-45%)

Design solutions that include one or more pipelines

Design the integration point between multiple workflows and pipelines
Define an AI application workflow process
Design pipelines that call Azure Machine Learning models

Design solutions that uses Cognitive Services

Design solutions that use vision, speech, language, knowledge, search, and anomaly detection APIs

Design solutions that implement the Bot Framework

Design bot services that use Language Understanding (LUIS)
Integrate bots with Azure app services and Azure Application Insights
Integrate bots and AI solutions
Design bots that integrate with channels

Design the compute infrastructure to support a solution

Identify whether to use a cloud-based, on-premises, or hybrid compute infrastructure
Identify whether to create a GPU, FPGA, or CPU-based solution
Select a compute solution that meets cost constraints

Design for data governance, compliance, integrity, and security

Ensure that data adheres to compliance requirements defined by your organization
Ensure appropriate governance of data
Define how users and applications will authenticate to AI services
Design strategies to ensure that the solution meets data privacy regulations and industry standards
Design a content moderation strategy for data usage within an AI solution

3. Implement and monitor AI solutions (25-30%)

Implement an AI workflow

Create solution endpoints
Develop AI pipelines
Define and construct interfaces for custom AI services
Develop streaming solutions

Integrate AI services with solution components

Configure integration with Cognitive Services
Implement Azure Search in a solution
Configure prerequisite components to allow connectivity to the Bot Framework
Configure prerequisite components and input datasets to allow the consumption of Cognitive Services APIs

Monitor and evaluate the AI environment

Identify the differences between KPIs, reported metrics, and root causes of the differences
Identify the differences between expected and actual workflow throughput
Monitor AI components for availability
Recommend changes to an AI solution based on performance data
Maintain an AI solution for continuous improvement

What is the duration, language, and format of AI-102: Designing and Implementing an Azure AI Solution Exam

This is beta exam.
Passing Score: 700 / 1000
Type of Questions: This test format is multiple choice.
Language: English, Japanese, Chinese (Simplified), Korean.

NO.20 You train a Custom Vision model to identify a company’s products by using the Retail domain.
You plan to deploy the model as part of an app for Android phones.
You need to prepare the model for deployment.
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.

NO.21 You are building a bot and that will use Language Understanding.
You have a LUDown file that contains the following content.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.

NO.22 You have the following C# method for creating Azure Cognitive Services resources programmatically.

You need to call the method to create a free Azure resource in the West US Azure region. The resource will be used to generate captions of images automatically.
Which code should you use?

create_resource(client, “res1”, “ComputerVision”, “F0”, “westus”)

create_resource(client, “res1”, “CustomVision.Prediction”, “F0”, “westus”)

create_resource(client, “res1”, “ComputerVision”, “S0”, “westus”)

create_resource(client, “res1”, “CustomVision.Prediction”, “S0”, “westus”)

NO.23 You are designing a conversation flow to be used in a chatbot.
You need to test the conversation flow by using the Microsoft Bot Framework Emulator.
How should you complete the .chat file? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

NO.24 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.

Language Understanding

Azure SQL Database

Azure Storage

Azure Cognitive Search

Azure App Service

NO.25 You are developing the shopping on-the-go project.
You need to build the Adaptive Card for the chatbot.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

NO.26 You have an existing Azure Cognitive Search service.
You have an Azure Blob storage account that contains millions of scanned documents stored as images and PDFs.
You need to make the scanned documents available to search as quickly as possible. What should you do?

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.

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.

Create a Cognitive Search service for each type of document.

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.

NO.27 You are creating an enrichment pipeline that will use Azure Cognitive Search. The knowledge store contains unstructured JSON data and scanned PDF documents that contain text.
Which projection type should you use for each data type? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

NO.28 You are developing a photo application that will find photos of a person based on a sample image by using the Face API.
You need to create a POST request to find the photos.
How should you complete the request? To answer, drag the appropriate values to the correct targets. Each value 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.

NO.29 You are developing a call to the Face API. The call must find similar faces from an existing list named employeefaces. The employeefaces list contains 60,000 images.
How should you complete the body of the HTTP request? To answer, drag the appropriate values to the correct targets. Each value 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.

NO.30 You build a conversational bot named bot1.
You need to configure the bot to use a QnA Maker application.
From the Azure Portal, where can you find the information required by bot1 to connect to the QnA Maker application?

Access control (IAM)

Properties

Keys and Endpoint

Identity

NO.31 You are developing a method that uses the Computer Vision client library. The method will perform optical character recognition (OCR) in images. The method has the following code.

During testing, you discover that the call to the GetReadResultAsync method occurs before the read operation is complete.
You need to prevent the GetReadResultAsync method from proceeding until the read operation is complete.
Which two actions should you perform? Each correct answer presents part of the solution. (Choose two.) NOTE: Each correct selection is worth one point.

Remove the Guid.Parse(operationId) parameter.

Add code to verify the results.Status value.

Add code to verify the status of the txtHeaders.Status value.

Wrap the call to GetReadResultAsync within a loop that contains a delay.

NO.32 You develop an application that uses the Face API.
You need to add multiple images to a person group.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

NO.33 You are creating an enrichment pipeline that will use Azure Cognitive Search. The knowledge store contains unstructured JSON data and scanned PDF documents that contain text.
Which projection type should you use for each data type? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

NO.34 You are planning the product creation project.
You need to recommend a process for analyzing videos.
Which four 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 four.)

NO.35 You build a custom Form Recognizer model.
You receive sample files to use for training the model as shown in the following table.

Which three files can you use to train the model? Each correct answer presents a complete solution. (Choose three.) NOTE: Each correct selection is worth one point.

File1

File2

File3

File4

File5

File6

NO.36 You train a Custom Vision model used in a mobile app.
You receive 1,000 new images that do not have any associated data.
You need to use the images to retrain the model. The solution must minimize how long it takes to retrain the model.
Which three actions should you perform in the Custom Vision portal? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

NO.37 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.

Language Understanding

Azure SQL Database

Azure Storage

Azure Cognitive Search

Azure App Service

NO.38 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.

Enable WebSockets for the chatbot app.

Create a Speech service.

Enable CORS for the chatbot app.

Create a Language Understanding service.

NO.39 You develop a test method to verify the results retrieved from a call to the Computer Vision API. The call is used to analyze the existence of company logos in images. The call returns a collection of brands named brands.
You have the following code segment.

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

NO.40 You are building an Azure Weblob that will create knowledge bases from an array of URLs.
You instantiate a QnAMakerClient object that has the relevant API keys and assign the object to a variable named client.
You need to develop a method to create the knowledge bases.
Which two actions should you include in the method? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

Create a CreaceKbDTO object.

Create a list of FileDTO objects that represents data from the WebJob.

Call the client. Knowledgebase. CreateAsync method.

Create a list of QnADTO objects that represents data from the WebJob.

NO.41 You develop an application that uses the Face API.
You need to add multiple images to a person group.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

NO.42 You are developing the smart e-commerce project.
You need to design the skillset to include the contents of PDFs in searches.
How should you complete the skillset design diagram? To answer, drag the appropriate services to the correct stages. Each service 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.

NO.43 You are developing a method that uses the Computer Vision client library. The method will perform optical character recognition (OCR) in images. The method has the following code.

During testing, you discover that the call to the GetReadResultAsync method occurs before the read operation is complete.
You need to prevent the GetReadResultAsync method from proceeding until the read operation is complete.
Which two actions should you perform? Each correct answer presents part of the solution. (Choose two.) NOTE: Each correct selection is worth one point.