AI-102: Microsoft Azure AI Solution Exam Practice Test w/Lab
AI-102 Microsoft Azure AI Solution / AI Engineer Associate Practice Exam / Test with Case Studies and PBIX files
What you will learn
Fully Prepare for AI-102: Microsoft Azure AI Solution Certification Exam with a Comperhensive Course designed to give you the best learning experience.
Gain a clear understanding of the course structure, purpose, and importance of the AI-102: Microsoft Azure AI Solution certification.
Students will feel confident taking the AI-102 exam knowing these practice tests have prepared them for what they will see on the real exam.
Focus your studies with breakdown of how you answered the questions.
Why take this course?
¡Hola! It seems like you've provided a detailed overview of the topics covered in the AI-102: Microsoft Azure AI Engineer Associate Practice Exam. This practice exam is designed to help candidates prepare for the official certification exam by providing a simulation of the actual exam experience, along with study materials that cover the various aspects of working with AI services on Microsoft Azure.
To summarize, the practice exam and study guide are structured around several key domains of Azure AI Services:
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AI Language Understanding and Text Analytics: This includes extracting key phrases, entities, sentiment, language detection, and PII from text. It's crucial for understanding and processing natural language.
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Azure AI Speech Services: This domain focuses on implementing and using speech services, including text-to-speech, speech-to-text, speech synthesis enhancements with SSML, and custom speech solutions like intent and keyword recognition.
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Language Translation: This involves using Azure's translation services to translate text, documents, and even speech across multiple languages. It also includes creating and managing custom translation models.
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Language Understanding Model Management: Here, you'll learn how to create, train, evaluate, deploy, test, and optimize language understanding models, as well as consume them in client applications and manage their lifecycle.
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Question Answering Solutions: This includes setting up a question answering system using Azure AI Language services, adding sources, training knowledge bases, and creating multi-language solutions.
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Document Intelligence: This domain covers extracting data from documents using prebuilt models or custom models, training and publishing these models, and integrating them with Azure AI Search as skills.
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Content Generation with Azure OpenAI Service: This involves provisioning Azure OpenAI resources, deploying models, generating natural language and code, and fine-tuning models for more accurate and relevant outputs.
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Knowledge Mining and Document Intelligence Solutions (10–15%): A subset of the exam focuses on using AI to extract meaningful information from documents and various data sources.
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Search Solutions with Azure AI Search: This includes setting up an Azure AI Search resource, creating data sources, indexes, skillsets, and custom skills, as well as querying indices with various parameters.
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Generative AI Solutions (10–15%): This domain explores the use of generative models like GPT-3 to create content, code, and images using prompts and parameters, and includes fine-tuning these models for specific use cases.
By covering all these areas in depth, the AI-102 practice exam helps ensure that candidates are well-prepared for the official exam. It's designed to simulate the real exam as closely as possible, providing a valuable learning tool and helping candidates identify areas where they may need further study. With this practice exam, candidates can gain confidence and a better understanding of how to apply AI services effectively within the Azure ecosystem. Good luck with your preparations!