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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 processing architecture for a solution
- Identify automation requirements
- Select the appropriate AI models and services
- Select the appropriate data processing technologies
- Identify components and technologies required to connect service endpoints
Map security requirements to tools, technologies, and processes
- Identify processes and regulations needed to conform with data privacy, protection, and regulatory requirements
- Identify appropriate tools for a solution
- Identify auditing requirements
- Identify which users and groups have access to information and interfaces
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 a strategy for ingest and egress data
- Design pipelines that use AI apps
- Define an AI application workflow process
- Design the integration point between multiple workflows and pipelines
- Design pipelines that call Azure Machine Learning models
- 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
- Integrate bots and AI solutions
- Design bots that integrate with channels
- Integrate bots with Azure app services and Azure Application Insights
- Design bot services that use Language Understanding (LUIS)
Design the compute infrastructure to support a solution
- Identify whether to use a cloud-based, on-premises, or hybrid compute infrastructure
- Select a compute solution that meets cost constraints
- Identify whether to create a GPU, FPGA, or CPU-based solution
Design for data governance, compliance, integrity, and security
- 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
- Define how users and applications will authenticate to AI services
- 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
- Manage the flow of data through the solution components
- Develop streaming solutions
- Implement data logging processes
- Define and construct interfaces for custom AI services
- Develop AI pipelines
Integrate AI services with solution components
- Implement Azure Search in a solution
- Configure prerequisite components and input datasets to allow the consumption of Cognitive Services APIs
- Configure integration with Cognitive Services
- Configure prerequisite components to allow connectivity to the Bot Framework
Monitor and evaluate the AI environment
- Maintain an AI solution for continuous improvement
- Monitor AI components for availability
- Identify the differences between expected and actual workflow throughput
- Identify the differences between KPIs, reported metrics, and root causes of the differences
- Recommend changes to an AI solution based on performance data
The benefit of obtaining the AI-102: Designing and Implementing an Azure AI Solution Exam Certification
- AI-102 certification has more useful and relevant networks that help them in setting career goals for themselves. AI-102 networks provide them with the correct career guidance than non certified generally are unable to get.
- AI-102 Certification provides practical experience to candidates from all the aspects to be a proficient worker in the organization.
- AI-102 Exam provide proven knowledge to use the tools to complete the task efficiently and cost effectively than the other non-certified professionals lack in doing so.
- AI-102 certified candidates will be confident and stand different from others as their skills are more trained than non-certified professionals.
- AI-102 Certifications provide opportunities to get a job easily in which they are interested in instead of wasting years and ending without getting any experience.
- AI-102 Certification is distinguished among competitors. AI-102 certification can give them an edge at that time easily when candidates appear for employment interview, employers are very fascinated to note one thing that differentiates the individual from all other candidates.
- This certification credential will give you edge over other counterparts. Apart from knowledge from AI-102: Designing and Implementing an Azure AI Solution Exam.
- AI-102 credential delivers higher earning potential and increased promotion opportunities because it shows a good understanding of designing and implementing an Azure AI Solution
- This certification will be judging your skills and knowledge on your understanding Designing and Implementing an Azure AI Solution concepts & Understanding of how to operate on Planning and Administering Designing and Implementing an Azure AI Solution .
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
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AI-102: Designing and Implementing an Azure AI Solution Exam Certified Professional salary
The average salary of a AI-102: Designing and Implementing an Azure AI Solution Exam Certified Expert in
- Europe - 90,547 EURO
- India - 20,00,327 INR
- United State - 120,000 USD
- England - 90,532 POUND
How to book the AI-102: Designing and Implementing an Azure AI Solution Exam
These are following steps for registering the AI-102: Designing and Implementing an Azure AI Solution exam.
- Step 1: Visit to Microsoft Learning and search for AI-102: Developing Solutions for Microsoft Azure.
- Step 2: Sign up/Login to Pearson VUE account
- Step 3: Select local centre based on your country, date, time and confirm with a payment method.
Microsoft AI-102日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement Decision Support Solutions | 10-15% | - Monitor and optimize decision support solutions - Integrate Azure AI services into applications - Design and implement decision automation |
| Topic 2: Implement Natural Language Processing Solutions | 20-25% | - Translate text and speech - Analyze text using Azure AI Language - Build question answering solutions - Implement speech capabilities using Azure AI Speech - Create conversational AI solutions with Azure AI Bot Service |
| Topic 3: Implement Computer Vision Solutions | 15-20% | - Implement Azure AI Face service - Implement object detection and image classification - Analyze images using Azure AI Vision - Read and process documents using Azure AI Document Intelligence - Process video and generate insights |
| Topic 4: Implement Generative AI Solutions | 10-15% | - Use Azure OpenAI Service for generative AI - Apply responsible AI practices - Implement prompt engineering techniques - Integrate Azure OpenAI models into applications |
| Topic 5: Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Implement Azure AI Search solutions - Design document processing pipelines - Create custom skills for Azure AI Search - Implement semantic and vector search |
| Topic 6: Plan and Manage an Azure AI Solution | 15-20% | - Implement governance and compliance for AI solutions - Manage AI costs and resource allocation - Select appropriate Azure AI services and technologies - Plan and configure secure AI solutions |



