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Practice Test Microsoft AI-102 Fee, AI-102 Reliable Test Answers
Practice Test AI-102 Fee,AI-102 Reliable Test Answers,Online AI-102 Tests,New AI-102 Test Answers,New AI-102 Test Review, Practice Test Microsoft AI-102 Fee, AI-102 Reliable Test Answers

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Microsoft AI-102 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Iterate on and optimize a language model by using language understanding
  • Manage a language understanding model
Topic 2
  • Select the appropriate cognitive service for a language analysis solution
  • Secure Cognitive Services by using Azure Virtual Network
Topic 3
  • Build an initial language model by using language understanding
  • Analyze text by using the Language service
Topic 4
  • Analyze video by using Azure Video Analyzer for Media (formerly Video Indexer)
  • Extract facial information from images
Topic 5
  • Configure diagnostic logging for a Cognitive Services resource
  • Deploy Cognitive Services containers in Microsoft Azure
Topic 6
  • Integrate Cognitive Services into a bot
  • Implement conversational AI solutions
Topic 7
  • Create a bot by using the Bot Framework Composer
  • Create a bot by using the Bot Framework SDK
Topic 8
  • Plan for a solution that meets responsible AI principles
  • Select the appropriate cognitive service for a speech solution
Topic 9
  • Analyze images by using the Computer Vision API
  • Implement an object detection solution by using the Custom Vision service

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

Map security requirements to tools, technologies, and processes

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

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

  • Select an AI solution that meet cost constraints
  • Design pipelines that use AI apps
  • Design a strategy for ingest and egress data
  • 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 bots that integrate with channels
  • Design bot services that use Language Understanding (LUIS)
  • Integrate bots with Azure app services and Azure Application Insights
  • Integrate bots and AI solutions

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 that data adheres to compliance requirements defined by your organization
  • Ensure appropriate governance of data
  • 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

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

Integrate AI services with solution components

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

Monitor and evaluate the AI environment

  • Maintain an AI solution for continuous improvement
  • 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
  • Monitor AI components for availability

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

  • Passing Score: 700 / 1000
  • Number of Questions: 40 to 60 questions(Since Microsoft does not publish this information, the number of exam questions may change without notice.)
  • This is beta exam.
  • Language: English, Japanese, Chinese (Simplified), Korean.

Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q182-Q187):

NEW QUESTION # 182
Select the answer that correctly completes the sentence.

Answer:

Explanation:


NEW QUESTION # 183
You are building a chatbot for a Microsoft Teams channel by using the Microsoft Bot Framework SDK. The chatbot will use 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:

Reference:
https://docs.microsoft.com/en-us/dotnet/api/microsoft.bot.builder.activityhandler.onmembersaddedasync?view=botbuilder-dotnet-stable


NEW QUESTION # 184
You have a web app that uses Azure Cognitive Search.
When reviewing billing for the app, you discover much higher than expected charges. You suspect that the query key is compromised.
You need to prevent unauthorized access to the search endpoint and ensure that users only have read only access to the documents collection. The solution must minimize app downtime.
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:

1 - Add a new query key.
2 - Change the app to use the new key.
3 - Delete the compromised key.
Reference:
https://docs.microsoft.com/en-us/azure/search/search-security-api-keys


NEW QUESTION # 185
You are reviewing the design of a chatbot. The chatbot includes a language generation file that contains the following fragment.
# Greet(user)
- ${Greeting()}, ${user.name}
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:
Box 1: No
Example: Greet a user whose name is stored in `user.name`
- ${ welcomeUser(user.name) }
Example: Greet a user whose name you don't know:
- ${ welcomeUser() }
Box 2: No
Greet(User) is a Send a response action.
Box 3: Yes
Reference:
https://docs.microsoft.com/en-us/composer/how-to-ask-for-user-input


NEW QUESTION # 186
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.)

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/how-to/edit-knowledge-base


NEW QUESTION # 187
......

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