Microsoft Azure AI Fundamentals (AI-900中文版) - AI-900 中文 Exam Practice Test
選出正確完成句子的答案。
Correct Answer:
Explanation:
According to the Microsoft Azure AI Fundamentals (AI-900) Official Study Guide and the Microsoft Learn module "Identify guiding principles for responsible AI," Fairness is one of Microsoft's six core principles of Responsible AI. The principle of fairness ensures that AI systems treat all individuals and groups equitably, and that the models do not produce biased or discriminatory outcomes.
Bias in AI systems can occur when training data reflects existing prejudices, inequalities, or imbalances. For example, if a dataset used for a hiring model underrepresents a certain demographic group, the AI system might produce unfair recommendations. Microsoft emphasizes that AI should not reflect or reinforce bias and that developers must actively design, test, and monitor models to mitigate unfairness.
Microsoft's Six Responsible AI Principles:
* Fairness - AI systems should treat everyone equally and avoid bias.
* Reliability and safety - AI systems must operate as intended even under unexpected conditions.
* Privacy and security - AI must protect personal and business data.
* Inclusiveness - AI should empower all people and be accessible to diverse users.
* Transparency - AI systems should be understandable and their decisions explainable.
* Accountability - Humans should be accountable for AI system outcomes.
The other options do not fit this context:
* Accountability ensures human responsibility for AI decisions.
* Inclusiveness focuses on accessibility and empowering all users.
* Transparency relates to making AI systems understandable.
Therefore, the correct answer is fairness, as it directly addresses the principle that AI systems should NOT reflect biases from the datasets used to train them.
哪種場景是網路聊天機器人的範例？
Correct Answer: A
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您可以使用 Azure 機器學習設計器來發佈推理管道。
您應該使用哪兩個參數來使用管道？每個正確答案都代表了解決方案的一部分。
注意：每個正確的選擇都值得一分。
您應該使用哪兩個參數來使用管道？每個正確答案都代表了解決方案的一部分。
注意：每個正確的選擇都值得一分。
Correct Answer: A,D
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將 Azure 認知服務服務與適當的操作相符。
若要回答，請將對應的服務從左側的列拖曳到右側的操作。每項服務可能使用一次、多次或完全不使用。
注意：每場正確的比賽都值得一分。
若要回答，請將對應的服務從左側的列拖曳到右側的操作。每項服務可能使用一次、多次或完全不使用。
注意：每場正確的比賽都值得一分。
Correct Answer:
Explanation:
These matches are based on the Microsoft Azure AI Fundamentals (AI-900) Official Study Guide and the Microsoft Learn module "Explore Azure Cognitive Services." Microsoft Azure provides Cognitive Services that enable developers to integrate artificial intelligence capabilities-such as vision, speech, language understanding, and decision-making-into applications without requiring in-depth AI expertise.
* Convert a user's speech to text # Speech ServiceThe Azure Speech Service supports speech-to-text (STT) conversion, which transcribes spoken language into written text. This feature is commonly used in voice assistants, transcription systems, and voice-enabled apps. The service uses advanced speech recognition models to handle different accents, languages, and background noises.
* Identify a user's intent # Language ServiceThe Azure AI Language Service (which includes capabilities from LUIS - Language Understanding) is used to interpret what a user means or wants to achieve based on their words. It identifies intents (the goal or action behind the input) and entities (key pieces of information) from natural language text. This is a key component in conversational AI applications, allowing chatbots and virtual assistants to respond intelligently.
* Provide a spoken response to the user # Speech ServiceThe Speech Service also supports text-to-speech (TTS) functionality, which converts textual responses into natural-sounding speech. This enables applications to communicate audibly with users, completing the conversational loop.
Translator Text is not used here because it's primarily designed for language translation between different languages, not for speech recognition or intent understanding.
在什麼場景下應該使用關鍵字提取？
Correct Answer: A
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應使用哪種 Azure Al Document Intelligence 預建模型從法律文件中提取當事人和司法管轄區？
Correct Answer: B
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在哪兩種場景下可以使用 Azure AI 文件智慧服務（以前稱為「表單識別器」）？每個正確答案都提供了一個完整的解決方案。
注意：每個正確選擇值一分。
注意：每個正確選擇值一分。
Correct Answer: B,C
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對於以下每個陳述，如果該陳述為真，請選擇「是」。否則，選擇“否”。 注意：每個正確的選擇都值得一分。
Correct Answer:
Explanation:
According to the Microsoft Azure AI Fundamentals (AI-900) official study guide and Microsoft Learn module "Describe core concepts of machine learning on Azure", the Azure Machine Learning Designer is a drag-and-drop, no-code/low-code interface that allows users to build, test, and deploy machine learning models visually without needing to write extensive code.
* Drag-and-Drop Visual Canvas # YESThe Azure Machine Learning Designer indeed provides a graphical interface where users can connect prebuilt modules for data preprocessing, training, evaluation, and deployment. Microsoft documentation describes it as a "drag-and-drop visual environment that simplifies machine learning model creation." This allows beginners and business users to construct machine learning pipelines intuitively, confirming this statement as True.
* Save Progress as a Pipeline Draft # YESThe designer lets users save their current work as a pipeline draft, enabling them to pause and return later. Microsoft Learn explicitly states that you can "save and publish pipeline drafts before running or deploying them." This functionality ensures workflow continuity, collaboration, and version management-making this statement also True.
* Include Custom JavaScript Functions # NOThe Azure Machine Learning Designer allows the integration of Python scripts through the "Execute Python Script" module for custom logic, but it does not support JavaScript. Custom code in the designer environment is limited to Python, as the platform is built for data science and machine learning tasks typically handled in Python-based environments.
Therefore, this statement is False.