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Microsoft AI-102 Certification Exam is an advanced level certification exam that is designed for professionals who want to prove their expertise in designing and implementing solutions that use Azure AI services. Designing and Implementing a Microsoft Azure AI Solution certification exam is intended for individuals who have experience working with Azure Machine Learning, Cognitive Services, and other AI tools and services.

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

Map security requirements to tools, technologies, and processes

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

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

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

2. Design AI solutions (40-45%)

Design solutions that include one or more pipelines

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

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

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

Design the compute infrastructure to support a solution

Identify whether to create a GPU, FPGA, or CPU-based solution
Identify whether to use a cloud-based, on-premises, or hybrid compute infrastructure
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
Design a content moderation strategy for data usage within an AI solution
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

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

Implement an AI workflow

Manage the flow of data through the solution components
Develop AI pipelines
Define and construct interfaces for custom AI services

Integrate AI services with solution components

Implement Azure Search in a solution
Configure prerequisite components to allow connectivity to the Bot Framework
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

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

>> AI-102 Reliable Test Labs <<

Designing and Implementing a Microsoft Azure AI Solution Valid Exam Materials & Designing and Implementing a Microsoft Azure AI Solution Latest pdf vce & Designing and Implementing a Microsoft Azure AI Solution Exam Practice Demo

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Microsoft AI-102 exam consists of multiple-choice questions that are designed to test the candidate's knowledge in various areas. These areas include designing and implementing AI solutions, creating natural language processing solutions, integrating AI services with other applications, and deploying AI models. AI-102 exam is intended for individuals who have a strong understanding of Azure services, machine learning concepts, and AI principles. AI-102 Exam is ideal for professionals who want to advance their career in the field of Artificial Intelligence and demonstrate their proficiency in designing and implementing Azure AI solutions.

Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q173-Q178):

NEW QUESTION # 173
You need to analyze video content to identify any mentions of specific company names.
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.

Answer:

Explanation:

Explanation:

NEW QUESTION # 174
You need to measure the public perception of your brand on social media messages. Which Azure Cognitive Services service should you use?

A. Content Moderator
B. Form Recognizer
C. Text Analytics
D. Computer Vision

Answer: C

NEW QUESTION # 175
You build a QnA Maker resource to meet the chatbot requirements.
Which RBAC role should you assign to each group? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation
Box 1: Cognitive Service User
Ensure that the members of a group named Management-Accountants can approve the FAQs.
Approve=publish.
Cognitive Service User (read/write/publish): API permissions: All access to Cognitive Services resource except for ability to:
1. Add new members to roles.
2. Create new resources.
Box 2: Cognitive Services QnA Maker Editor
Ensure that the members of a group named Consultant-Accountants can create and amend the FAQs.
QnA Maker Editor: API permissions:
1. Create KB API
2. Update KB API
3. Replace KB API
4. Replace Alterations
5. "Train API" [in new service model v5]
Box 3: Cognitive Services QnA Maker Read
Ensure that the members of a group named the Agent-CustomerServices can browse the FAQs.
QnA Maker Read: API Permissions:
1. Download KB API
2. List KBs for user API
3. Get Knowledge base details
4. Download Alterations
Generate Answer
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/concepts/role-based-access-control

NEW QUESTION # 176
You are building a model that will be used in an iOS app.
You have images of cats and dogs. Each image contains either a cat or a dog.
You need to use the Custom Vision service to detect whether the images is of a cat or a dog.
How should you configure the project in the Custom Vision portal? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://cran.r-project.org/web/packages/AzureVision/vignettes/customvision.html

NEW QUESTION # 177
You are developing an application to recognize employees' faces by using the Face Recognition API. Images of the faces will be accessible from a URI endpoint.
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.

Answer:

Explanation:

Explanation:
A. True
B. True
C. True
B: see this example code from documentation that uses PersonGroup of size 10,000 :
https://docs.microsoft.com/en-us/azure/cognitive-services/face/face-api-how-to-topics/how-to-add-faces the question wants to trick you into thinking you need to use a LargePersonGroup for a size of 10,000 - but the documentation for it doesn't include this limitation or criteria: https://docs.microsoft.com/en-us/azure
/cognitive-services/face/face-api-how-to-topics/how-to-use-large-scale
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/face/face-api-how-to-topics/use-persondirectory

NEW QUESTION # 178
......

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AI-102 Reliable Test Labs - AI-102 Test Dump

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

Designing and Implementing a Microsoft Azure AI Solution Valid Exam Materials & Designing and Implementing a Microsoft Azure AI Solution Latest pdf vce & Designing and Implementing a Microsoft Azure AI Solution Exam Practice Demo

Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q173-Q178):

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