Sample Questions and Answers
1. What is the primary purpose of Azure Machine Learning?
A. Store big data
B. Create web applications
C. Train, deploy, and manage machine learning models
D. Monitor virtual machines
Answer: C
Explanation: Azure Machine Learning is a cloud-based platform for building, training, and deploying machine learning models efficiently.
2. Which Microsoft tool allows low-code/no-code model building for beginners?
A. Azure CLI
B. Visual Studio Code
C. Azure Machine Learning Designer
D. Azure DevOps
Answer: C
Explanation: Azure Machine Learning Designer is a drag-and-drop tool in the Azure portal used to build ML models with minimal code.
3. What type of AI is used by a chatbot to understand natural language?
A. Computer Vision
B. Machine Learning
C. Natural Language Processing (NLP)
D. Deep Learning
Answer: C
Explanation: NLP helps machines understand and respond to human language in a meaningful way, which is core to chatbots.
4. Which of the following services enables image classification in Azure?
A. Azure Speech Service
B. Azure Form Recognizer
C. Azure Custom Vision
D. Azure Translator
Answer: C
Explanation: Azure Custom Vision allows users to build, deploy, and improve image classifiers that recognize specific content.
5. Which algorithm type is used in supervised learning?
A. Clustering
B. Regression
C. Association Rules
D. Dimensionality Reduction
Answer: B
Explanation: Regression is a common supervised learning technique used for predicting continuous values.
6. Which Azure service provides pre-trained AI models for text analysis?
A. Azure Bot Service
B. Azure Text Analytics
C. Azure Functions
D. Azure Notebooks
Answer: B
Explanation: Azure Text Analytics is part of Azure Cognitive Services and provides pre-trained models for sentiment analysis, key phrase extraction, etc.
7. What is a key benefit of using pre-trained models in Azure?
A. They are always more accurate
B. They eliminate the need for coding
C. They reduce time-to-deployment
D. They always support all languages
Answer: C
Explanation: Pre-trained models can be used immediately, saving time and resources for deployment.
8. Which task is best suited for computer vision?
A. Text translation
B. Sentiment analysis
C. Image recognition
D. Speech synthesis
Answer: C
Explanation: Computer vision enables machines to analyze and interpret visual data from the world.
9. What is the primary purpose of the Azure Bot Service?
A. Generate images
B. Build conversational agents
C. Train ML models
D. Translate documents
Answer: B
Explanation: Azure Bot Service allows developers to create intelligent, conversational bots across multiple channels.
10. Which metric is best for evaluating classification models?
A. Mean Squared Error
B. R-squared
C. Accuracy
D. Euclidean distance
Answer: C
Explanation: Accuracy measures the proportion of correctly predicted instances and is commonly used for classification problems.
11. What is an example of an unsupervised learning task?
A. Image classification
B. Text sentiment analysis
C. Clustering customers
D. Predicting sales
Answer: C
Explanation: Clustering is an unsupervised learning technique used to group data without predefined labels.
12. What is Azure Cognitive Services?
A. A database for AI models
B. A suite of pre-built AI APIs
C. A data visualization tool
D. A programming language
Answer: B
Explanation: Azure Cognitive Services is a set of APIs that enable developers to add AI capabilities to applications without machine learning expertise.
13. What feature does Azure Speech Service not offer?
A. Speech-to-text
B. Text-to-speech
C. Translation
D. Image recognition
Answer: D
Explanation: Azure Speech Service is focused on audio and language capabilities, not image processing.
14. What does Responsible AI in Azure promote?
A. Faster model training
B. Cost-efficient virtual machines
C. Fairness, privacy, and transparency
D. Real-time gaming
Answer: C
Explanation: Responsible AI ensures AI systems are designed with fairness, inclusivity, accountability, and transparency.
15. Which data type is most commonly used for computer vision?
A. Text
B. Audio
C. Image
D. Video
Answer: C
Explanation: Images are the fundamental data type analyzed in computer vision tasks.
16. Which of the following is NOT a component of machine learning?
A. Data
B. Algorithm
C. Model
D. Browser
Answer: D
Explanation: Browser is not related to the core ML workflow which involves data, algorithms, and models.
17. What is model overfitting?
A. Model works too fast
B. Model memorizes training data too well
C. Model underperforms on training data
D. Model requires fewer parameters
Answer: B
Explanation: Overfitting occurs when a model performs well on training data but poorly on new, unseen data.
18. Which Azure AI tool helps label data?
A. Azure ML SDK
B. Azure Data Factory
C. Azure ML Data Labeling
D. Azure Blob Storage
Answer: C
Explanation: Azure Machine Learning Data Labeling is used for annotating datasets used in model training.
19. What’s a benefit of using cloud-based AI solutions?
A. Limited scalability
B. High manual configuration
C. Easy deployment and scalability
D. Only available on Windows OS
Answer: C
Explanation: Cloud-based AI provides flexible scalability and easy access to infrastructure and services.
20. What is inferencing in machine learning?
A. Training the model
B. Tuning hyperparameters
C. Making predictions with a trained model
D. Selecting training data
Answer: C
Explanation: Inferencing is the process of using a trained model to make predictions on new data.
21. Which task would Azure Form Recognizer be best used for?
A. Face detection
B. Reading scanned invoices
C. Translating text
D. Object detection
Answer: B
Explanation: Azure Form Recognizer extracts structured data from forms, receipts, and documents.
22. What’s a key characteristic of reinforcement learning?
A. Pre-labeled data
B. Rewards and penalties
C. Clustering data
D. Real-time graphics
Answer: B
Explanation: Reinforcement learning uses rewards and penalties to learn optimal actions in an environment.
23. Which Azure service allows language translation?
A. Azure Translate
B. Azure Speech Studio
C. Azure Vision API
D. Azure Face API
Answer: A
Explanation: Azure Translator (formerly Microsoft Translator) is used for real-time text translation between languages.
24. What is the output of a classification model?
A. A number
B. A cluster
C. A category label
D. A time series
Answer: C
Explanation: Classification models output discrete labels like “spam” or “not spam.”
25. Why is labeled data important in supervised learning?
A. It reduces processing power
B. It’s used for testing only
C. It trains the model to recognize patterns
D. It eliminates training time
Answer: C
Explanation: Labeled data provides known outputs for the model to learn from and adjust predictions accordingly.
26. What does the AI term ‘bias’ refer to?
A. Faster processing
B. Prediction delays
C. Systematic error in model output
D. Data overuse
Answer: C
Explanation: Bias in AI refers to systematic errors in prediction caused by flawed data or design.
27. Which Azure feature supports model versioning?
A. Azure Notebooks
B. Azure Machine Learning Workspaces
C. Azure Marketplace
D. Azure Event Hubs
Answer: B
Explanation: Azure Machine Learning Workspaces support model tracking, versioning, and management.
28. Which type of AI system mimics human vision?
A. Computer Vision
B. Natural Language Processing
C. Predictive Analytics
D. Anomaly Detection
Answer: A
Explanation: Computer Vision is designed to replicate how humans see and interpret visual information.
29. Which visual interface is used to build AI workflows in Azure?
A. Azure CLI
B. Azure Machine Learning Designer
C. PowerShell
D. Azure Data Explorer
Answer: B
Explanation: Azure ML Designer provides a GUI for building AI workflows using drag-and-drop modules.
30. What does sentiment analysis determine in a text?
A. Length of text
B. Language used
C. Emotional tone
D. Number of characters
Answer: C
Explanation: Sentiment analysis detects whether text expresses positive, negative, or neutral emotions.
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