Microsoft Azure AI Fundamentals (AI-900) 3 — Questions and Answers
Question 1: Which Azure service is specifically designed to extract structured data from documents such as invoices, receipts, and forms?
- Azure Computer Vision
- Azure Form Recognizer (Correct answer)
- Azure Text Analytics
- Azure Content Moderator
Correct answer: Azure Form Recognizer
Azure Form Recognizer uses machine learning to identify and extract key-value pairs, tables, and text from structured and semi-structured documents.
Question 2: In Azure Machine Learning, what is a 'compute cluster' used for?
- Storing trained model artifacts
- Running scalable training and batch inference jobs (Correct answer)
- Monitoring model drift in production
- Managing feature engineering pipelines
Correct answer: Running scalable training and batch inference jobs
A compute cluster is a managed multi-node resource in Azure ML that scales up to run training experiments and batch scoring jobs, then scales down to save cost.
Question 3: What is 'data augmentation' in the context of training computer vision models?
- Adding metadata labels to images
- Artificially expanding the training dataset by applying transformations like flipping or cropping (Correct answer)
- Removing low-quality images from the dataset
- Converting images to grayscale to reduce noise
Correct answer: Artificially expanding the training dataset by applying transformations like flipping or cropping
Data augmentation creates additional training examples by applying transformations such as rotation, flipping, and color jitter to existing images.
Question 4: Which Azure Cognitive Service can convert spoken audio into written text in real time?
- Azure Text Analytics
- Azure Speech-to-Text (Speech service) (Correct answer)
- Azure Language Understanding (LUIS)
- Azure Translator
Correct answer: Azure Speech-to-Text (Speech service)
The Speech-to-Text capability of Azure Cognitive Services Speech transcribes spoken language into text in real time or from audio files.
Question 5: A developer wants to identify the primary topic of customer support tickets automatically. Which NLP task best describes this use case?
- Named Entity Recognition
- Sentiment Analysis
- Text Classification (Correct answer)
- Machine Translation
Correct answer: Text Classification
Text classification assigns predefined category labels to text documents, making it ideal for routing tickets to the correct support topic.
Question 6: What is the role of 'features' in a machine learning model?
- They are the output labels the model predicts
- They are the input variables used by the model to make predictions (Correct answer)
- They are hyperparameters that control the training algorithm
- They are evaluation metrics that measure model accuracy
Correct answer: They are the input variables used by the model to make predictions
Features are the measurable input attributes—such as age, price, or pixel values—that the model uses to learn patterns and generate predictions.
Question 7: Which Azure AI capability is used to detect, identify, and verify human faces in images?
- Azure Video Analyzer
- Azure Face API (Correct answer)
- Azure Custom Vision
- Azure Spatial Analysis
Correct answer: Azure Face API
The Azure Face API detects human faces in images and can perform verification (is this the same person?), identification, and attribute analysis.
Microsoft Azure AI Fundamentals (AI-900) 3
Which Azure service is specifically designed to extract structured data from documents such as invoices, receipts, and forms?