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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 data processing technologies
  • Identify automation requirements
  • Select the processing architecture for a solution
  • Select the appropriate AI models and services
  • 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 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 pipelines that call Azure Machine Learning models
  • Design the integration point between multiple workflows and pipelines
  • Design a strategy for ingest and egress data
  • Select an AI solution that meet cost constraints
  • Design pipelines that use AI apps
  • Define an AI application workflow process

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

Design the compute infrastructure to support a solution

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

Design for data governance, compliance, integrity, and security

  • 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
  • Define how users and applications will authenticate to AI services

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

Implement an AI workflow

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

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

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

Designing and Implementing a Microsoft Azure AI Solution Exam Certification Details:

Exam Price$165 (USD)
Exam CodeAI-102
Books / TrainingCourse AI-102T00: Designing and Implementing a Microsoft Azure AI Solution
Schedule ExamPearson VUE
Passing Score700 / 1000
Exam NameMicrosoft Certified - Azure AI Engineer Associate
Duration130 mins
Sample QuestionsDesigning and Implementing a Microsoft Azure AI Solution Sample Questions
Number of Questions40-60

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102

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How to Register For Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution?

Exam Register Link: https://examregistration.microsoft.com/?locale=en-us&examcode=AI-102&examname=Exam%20AI-102:%20Designing%20and%20Implementing%20a%20Microsoft%20Azure%20AI%20Solution&returnToLearningUrl=https%3A%2F%2Fdocs.microsoft.com%2Flearn%2Fcertifications%2Fexams%2Fai-102

Microsoft AI-102 Exam Syllabus Topics:

SectionObjectives
Topic 1: Implement Generative AI Solutions- Implement Azure OpenAI Service solutions
- Integrate prompt engineering techniques
- Build retrieval-augmented generation (RAG) solutions
Topic 2: Implement Computer Vision Solutions- Analyze images and videos using Azure AI Vision
- Extract information using OCR and form recognition
- Implement custom vision models
Topic 3: Implement Knowledge Mining and Document Intelligence- Enrich and index data for search scenarios
- Implement document intelligence solutions
- Build Azure AI Search solutions
Topic 4: Plan and Manage an Azure AI Solution- Select appropriate Azure AI services
- Manage security, compliance, and responsible AI
- Plan solution requirements and architecture
Topic 5: Implement Natural Language Processing Solutions- Analyze text using Azure AI Language
- Translate and interpret language using Azure AI services
- Implement question answering and conversational AI

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