Microsoft Azure AI Fundamentals Microsoft Azure AI Fundamentals MCQ 2 — Questions and Answers
Question 1: Which Azure service provides pre-built AI models for vision, speech, language, and decision tasks without requiring ML expertise?
- Azure Machine Learning
- Azure Cognitive Services (Correct answer)
- Azure Databricks
- Azure Synapse Analytics
Correct answer: Azure Cognitive Services
Azure Cognitive Services offers pre-built AI APIs for common AI tasks that developers can integrate without training custom models.
Question 2: A company wants to detect whether a customer review is positive, negative, or neutral. Which AI technique is most appropriate?
- Object detection
- Sentiment analysis (Correct answer)
- Speech synthesis
- Image classification
Correct answer: Sentiment analysis
Sentiment analysis is an NLP technique that determines the emotional tone of text, categorizing it as positive, negative, or neutral.
Question 3: What does the term 'overfitting' mean in the context of machine learning?
- The model trains too slowly on the dataset
- The model performs well on training data but poorly on new data (Correct answer)
- The model requires too much computational power
- The model cannot converge to a solution
Correct answer: The model performs well on training data but poorly on new data
Overfitting occurs when a model learns the training data too well, including its noise, causing poor generalization to unseen data.
Question 4: Which Azure AI service would you use to extract text from scanned documents and images?
- Azure Face API
- Azure Video Indexer
- Azure Form Recognizer (Correct answer)
- Azure Bot Service
Correct answer: Azure Form Recognizer
Azure Form Recognizer (now Document Intelligence) uses AI to extract text, key-value pairs, and tables from documents and images.
Question 5: In responsible AI, which principle ensures that AI systems are transparent about how they make decisions?
- Fairness
- Reliability
- Explainability (Correct answer)
- Privacy
Correct answer: Explainability
Explainability (also called transparency) ensures that AI decision-making processes can be understood and interpreted by humans.
Question 6: Which type of machine learning involves learning from labeled training data to predict outcomes for new inputs?
- Unsupervised learning
- Reinforcement learning
- Supervised learning (Correct answer)
- Semi-supervised learning
Correct answer: Supervised learning
Supervised learning uses labeled datasets where the correct outputs are known to train models that can predict outcomes for new, unseen inputs.
Question 7: What is the primary purpose of Azure Machine Learning's automated ML (AutoML) feature?
- To deploy ML models to production automatically
- To automatically select and tune the best ML algorithm for a dataset (Correct answer)
- To manage ML infrastructure costs
- To generate synthetic training data
Correct answer: To automatically select and tune the best ML algorithm for a dataset
AutoML automates the process of selecting the best algorithm and hyperparameters for a given dataset, reducing the need for manual experimentation.
Microsoft Azure AI Fundamentals Microsoft Azure AI Fundamentals MCQ 2
Which Azure service provides pre-built AI models for vision, speech, language, and decision tasks without requiring ML expertise?