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AI-102 New Study Plan & AI-102 Reliable Test Simulator

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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

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

Map security requirements to tools, technologies, and processes

Identify appropriate tools for a solution
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

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

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

2. Design AI solutions (40-45%)

Design solutions that include one or more pipelines

Design pipelines that use AI apps
Design a strategy for ingest and egress data
Define an AI application workflow process
Select an AI solution that meet cost constraints

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 and AI solutions
Integrate bots with Azure app services and Azure Application Insights
Design bots that integrate with channels

Design the compute infrastructure to support a solution

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

Design for data governance, compliance, integrity, and security

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

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

Implement an AI workflow

Develop AI pipelines
Develop streaming solutions
Implement data logging processes

Integrate AI services with solution components

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

Monitor and evaluate the AI environment

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

Microsoft AI-102 Exam is designed for professionals who want to validate their skills and knowledge in designing and implementing artificial intelligence (AI) solutions on the Microsoft Azure platform. AI-102 exam is intended for developers, data scientists, and AI engineers who want to demonstrate their expertise in building intelligent applications using various Azure services, including Cognitive Services, Machine Learning, and Bot Service.

Earning the Microsoft AI-102 certification demonstrates that you have the skills and knowledge needed to design and implement complex AI solutions using Microsoft Azure services. Designing and Implementing a Microsoft Azure AI Solution certification is ideal for professionals who want to advance their careers in the field of artificial intelligence, and it is a valuable asset for organizations that are looking to implement AI solutions in their operations.

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Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q250-Q255):

NEW QUESTION # 250
You plan to build a chatbot to support task tracking.
You create a Language Understanding service named lu1.
You need to build a Language Understanding model to integrate into the chatbot. The solution must minimize development time to build the model.
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.)

Answer:

Explanation:

Explanation
1. Add a new application
2. Add a prebuilt domain intent ToDo (it has already utterances so we can skip this step)
3. Train
4. Publish

NEW QUESTION # 251
You are building a chatbot that will provide information to users as shown in the following exhibit.

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.

Answer:

Explanation:

Explanation
Box 1: Adaptive card
Box 2: an image
Reference:
https://docs.microsoft.com/en-us/microsoftteams/platform/task-modules-and-cards/cards/cards-reference
https://docs.microsoft.com/en-us/composer/how-to-send-cards?tabs=v1x

NEW QUESTION # 252
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?

A. create_resource(client, "res1", "CustomVision.Prediction", "S0", "westus")
B. create_resource(client, "res1", "ComputerVision", "S0", "westus")
C. create_resource(client, "res1", "ComputerVision", "F0", "westus")
D. create_resource(client, "res1", "CustomVision.Prediction", "F0", "westus")

Answer: D

Explanation:
https://azure.microsoft.com/en-us/pricing/details/cognitive-services/computer-vision/

NEW QUESTION # 253
You are building an Azure web app named App1 that will translate text from English to Spanish.
You need to use the Text Translation REST API to perform the translation. The solution must ensure that you have data sovereignty in the United States.
How should you complete the URI? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 254
You are using a Language Understanding service to handle natural language input from the users of a web- based customer agent.
The users report that the agent frequently responds with the following generic response: "Sorry, I don't understand that." You need to improve the ability of the agent to respond to requests.
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.)

Answer:

Explanation:

Explanation:
- enable active learning
- validate the utterances
- train and republish
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-how-to-review-endpoint-utterances#log- user-queries-to-enable-active-learning
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-concept-prebuilt-model

NEW QUESTION # 255
......

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Max Reed Max Reed

Biography

AI-102 New Study Plan & AI-102 Reliable Test Simulator

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

Quiz 2025 Updated AI-102: Designing and Implementing a Microsoft Azure AI Solution New Study Plan

Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q250-Q255):

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