AI-102 Microsoft Azure AI Solution Practice Tests Exam Prep

Learn and Achieve be recognized as AI Engineer Design and Implement a Microsoft Azure AI Solution

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AI-102 Microsoft Azure AI Solution Practice Tests Exam Prep
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103 questions
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May 2022
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What you will learn

Candidates for Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution build, manage, and deploy AI solutions that leverage Azure Cognitive Servic

Mission includes participating in all phases of AI solutions development—from requirements definition and design to development, deployment, maintenanc

solution architects to translate their vision and with data scientists, data engineers, IoT specialists, and AI developers to build complete end-to-end AI solut

Candidates for this exam should be proficient in C# or Python and should be able to use REST-based APIs and SDKs to build computer vision, natural language proc

Why take this course?

根据您提供的技能分类和描述,以下是一些可能的职位角色和相应的关键技能要求:

职位角色: Azure AI/ML 解决方案架构师

关键技能要求:

  • Azure Cognitive Services: 部署自定义对象检测模型到容器、使用 Video Indexer 分析视频内容、提取视频中的洞察和成果、定制视频分面器中的品牌、语言和人物模型、从视频流中提取洞察等。
  • 自然语言处理: 使用 Text Analytics 服务进行文本分析(键词提取、实体识别、情感分析、语言检测)、实现基于语言的对话框架和机器人、使用 LUIS 创建、训练和优化语言模型等。
  • 机器翻译: 使用 Translator 服务进行文本和语音翻译等。
  • 知识挖掘: 实现 Cognitive Search 解决方案,包括创建数据源、定义索引、配置自动完成和自动提示、设置重要性过滤、实现自定义技能等。
  • 对话系统: 使用 Bot Framework SDK 或 Composer 创建和部署机器人、集成 Cognitive Services(如 QnA Maker、LUIS、Speech 服务)等。
  • 数据科学和机器学习: 管理和优化 LUIS 模型、使用 Active Learning、监控和纠正数据不平衡等。

职位角色: Azure AI/ML 专家

关键技能要求:

  • Azure Video Indexer: 处理视频内容、提取视频洞察、定制模型、分析实时视频流等。
  • Azure Text Analytics: 文本分析、情感分析、主题检测等。
  • Azure Bot Service: 设计对话流程、集成 LUIS、QnA Maker、Speech Services 等。
  • Azure Cognitive Services: 定制视觉模型、语言理解、自然语言生成等。
  • 机器学习(ML)和深度学习: 使用 Azure ML Studio、TensorFlow、PyTorch 等工具进行模型训练和部署。
  • 数据科学: 使用 R、Python 等编程语言进行数据分析和可视化。

职位角色: 对话系统开发者/机器人开发者

关键技能要求:

  • Bot Framework SDK 或 Composer: 创建和部署机器人、使用 Bot Framework Emulator 进行测试等。
  • LUIS: 设计和实现语言理解模型、训练和优化等。
  • QnA Maker: 创建知识库、使用 Active Learning、导入和导出知识库等。
  • 适应卡(Adaptive Cards): 设计用户界面元素,实现富交互体验等。
  • Azure Cognitive Services: 集成 Speech Services 进行语音交互、使用 QnA Maker 作为知识库等。

职位角色: Azure AI/ML 解决方案顾问

关键技能要求:

  • 跨领域的 AI/ML 应用: 提供解决方案架构、指导客户如何实现他们的商业目标等。
  • Azure Cognitive Services: 定制服务和模型、集成到不同的应用场景中等。
  • NLP(自然语言处理): 使用 LUIS、Text Analytics 等工具进行复杂的文本分析和意图识别等。
  • 机器学习: 使用 Azure ML Studio 或其他 ML 框架进行模型开发和部署等。

这些职位角色和关键技能要求是根据您提供的描述整合出来的,实际的工作职位可能会根据公司的具体需求和市场趋势有所不同。

Our review

***** Course Review for AI-102 Mock Exam Preparation *****

Overall Rating: 3.55/5

Pros:

  • Effective Preparation: Recent reviews indicate that the mock tests provided in the course have been instrumental in preparing students for the actual AI-102 exam, with several learners successfully passing the exam after using these resources.

    • Success Example: "Cleared AI-102 exam today with 960 marks. All the questions similar and came from this Mock tests. Thanks a lot udemy."

    • Success Example: "I have cleared exam today with 900!, these mock tests were very helpful to me and highly recommended. Thank you."

  • Practical Approach: The course is praised for its practical approach, with one learner noting that it is more practical than another one they had used.

Cons:

  • Technical Issues in Q&A Section: There have been reports of technical issues within the Q&A section of the course. One user indicated that they reported some questions as incorrect but did not receive a response.

    • Issue Reported: "In the Q&A of this course, I reported some questions are not correct. But I have not received any response."
  • Question and Answer Quality: The quality of some questions and answers is a concern, with at least one learner pointing out that some answers provided in the mock tests are incorrect. They recommend purchasing contributor access from examtopics.com for a better understanding and to identify inaccuracies.

    • Inaccuracy Concern: "All the questions are copied from examtopics (www.examtopics.com) website including the answers and reasoning. Quite a few of them have wrong answers as the author has selected the general examtopics answers."
  • Content and Formatting Issues: Several learners have highlighted formatting issues with some questions, leading to barely readable content. Additionally, there are instances where code snippets or vital information for answering certain questions are missing.

    • Formatting Concerns: "-No immediate correct answers are shown.\n-Explanations are sometimes (very) good, but often very poor.\n-The formatting of the questions is sometimes awful and results in barely readable questions.\n-For some questions parts of the questions, such as code snippets, are missing."
  • Redo Option for Incorrect Answers: The course lacks an option to redo wrongly answered questions, which could be a significant drawback for learners looking to fully understand their mistakes and improve.

    • Feature Missing: "No option to redo worngly answered questions."
  • Content Completeness: Some learners have noted that there are fewer questions and tasks available in this course compared to other learning tools or websites, which might affect the comprehensiveness of exam preparation.

    • Content Concern: "Some questions and task seem to be missing compared to other learning tools/websites."
  • Answer Accuracy: There are concerns about the accuracy of some answers within the mock tests, as highlighted by a learner who suggested purchasing access to examtopics.com for a more accurate understanding.

    • Incorrect Answers: "Some answers are wrong!"

Summary: The AI-102 Mock Exam Preparation course has received positive feedback from learners who have successfully passed the AI-102 exam with the help of its mock tests. However, concerns regarding technical support within the Q&A section, inaccuracies in question answers, formatting issues, lack of a redo option for incorrect answers, and insufficient content completeness have been raised. Despite these drawbacks, the course remains a valuable resource for those preparing for the AI-102 exam, provided that learners are aware of its limitations and potential inaccuracies. It is recommended that the course creators address these issues to improve the overall learner experience.

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