Microsoft AI-900-CN Actual Free Exam Questions & Community Discussion
在機器學習的過程中，什麼時候應該檢視評估指標？
Correct Answer: B
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您需要使用以下資料集來預測給定客戶的收入範圍。
您應該使用哪兩個欄位作為特徵？每個正確答案都代表一個完整的解決方案。
注意：每個正確的選擇都值得一分。
您應該使用哪兩個欄位作為特徵？每個正確答案都代表一個完整的解決方案。
注意：每個正確的選擇都值得一分。
Correct Answer: A,D
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要完成句子，請在答案區中選擇適當的選項。
Correct Answer:
Explanation:
According to the Microsoft Azure AI Fundamentals (AI-900) official study guide and the Microsoft Learn module "Prepare data for machine learning", feature engineering refers to the process of transforming raw data into meaningful features that can be effectively used by machine learning algorithms. This includes steps such as scaling, normalization, encoding categorical variables, handling missing values, and creating new features derived from existing ones.
The question states:
"Ensuring that the numeric variables in training data are on a similar scale." This directly describes a data normalization or standardization step, which is a core component of feature engineering. The purpose of scaling numeric variables is to ensure that all features contribute equally to the model's learning process. Without normalization, features with large numeric ranges (such as "income in dollars") could dominate smaller-scale features (like "age in years"), leading to biased model performance.
In Azure Machine Learning, this is typically done using the Normalize Data module or transformations in the data preparation stage. Microsoft Learn explains that normalization and feature scaling are applied before model training to ensure that gradient-based algorithms (such as regression or neural networks) converge more efficiently and produce more accurate results.
The other options are not correct:
* Data ingestion refers to collecting and importing data into a system.
* Feature selection involves choosing the most relevant features, not scaling them.
* Model training is the phase where the algorithm learns patterns from the processed data, which occurs after feature engineering.
Therefore, ensuring that numeric variables are on a similar scale is a step in Feature Engineering.
您有一個資料集，其中包含有關給定時間段內發生的計程車行程的資訊。
您需要訓練一個模型來預測計程車行程的費用。
您應該使用什麼作為功能？
您需要訓練一個模型來預測計程車行程的費用。
您應該使用什麼作為功能？
Correct Answer: A
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哪三個操作可以提高使用 GPT-3.5 的生成式 AI 解決方案回傳的回應品質？每個正確答案都代表一個完整的解決方案。
注意：每個正確答案都值一分。
注意：每個正確答案都值一分。
Correct Answer: B,C,E
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您有一個可以識別圖像中鳥類的應用程式。該應用程式執行以下任務：
* 辨識影像中鳥類的位置
* 辨識影像中鳥類的種類
每個任務使用哪種類型的電腦視覺？要回答，請在答案區域中選擇適當的選項。
注意：每個正確的選擇都值得一分。
* 辨識影像中鳥類的位置
* 辨識影像中鳥類的種類
每個任務使用哪種類型的電腦視覺？要回答，請在答案區域中選擇適當的選項。
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 the Microsoft Learn module "Explore computer vision in Microsoft Azure," there are multiple types of computer vision tasks, each designed for different goals such as recognizing, categorizing, or locating objects within an image.
In this question, the application performs two distinct tasks: locating birds within an image and identifying their species. Each of these corresponds to a different type of computer vision capability.
* Locate the birds # Object detection
* Object detection is used when an AI system needs to identify and locate multiple objects within a single image.
* It not only recognizes what the object is but also provides bounding boxes that indicate the exact position of each object.
* In this scenario, locating the birds (drawing rectangles around each bird) is achieved through object detection models, such as those available in the Azure Custom Vision Object Detection domain.
* Identify the species of the birds # Image classification
* Image classification focuses on identifying what is in the image rather than where it is.
* It assigns a single label (or multiple labels in multilabel classification) to an entire image based on its contents.
* In this case, determining the species of a bird (e.g., robin, eagle, parrot) is achieved through image classification, where the model compares visual features against learned patterns from training data.
Incorrect options:
* Automated captioning generates descriptive sentences about an image, not object locations or classifications.
* Optical character recognition (OCR) extracts text from images, irrelevant in this case.
您需要預測某個地區特定動物種類的族群規模。
您應該使用哪種 Azure 機器學習類型？
您應該使用哪種 Azure 機器學習類型？
Correct Answer: C
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一家公司僱用了一支客戶服務代理團隊為客戶提供電話和電子郵件支援。
該公司開發了一個網路聊天機器人，可以自動回答常見的客戶問題。
透過創建網路聊天機器人解決方案，公司應該期望獲得哪些商業利益？
該公司開發了一個網路聊天機器人，可以自動回答常見的客戶問題。
透過創建網路聊天機器人解決方案，公司應該期望獲得哪些商業利益？
Correct Answer: C
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