NSCT – Introduction to AI, ML & Data Analytics MCQs 20 min Score: 0 Attempted: 0/20 Subscribe 1. . Artificial Intelligence (AI) is: (A) The simulation of human intelligence in machines that are programmed to think and learn (B) Encrypting data only (C) Compressing files only (D) Backup onlyShow All Answers 2. . Machine Learning (ML) is: (A) Backup only (B) Encrypting algorithms (C) Compressing code (D) A subset of AI that allows systems to learn from data and improve performance without explicit programming 3. . Data Analytics involves: (A) Examining datasets to discover patterns, draw conclusions, and support decision making (B) Encrypting datasets (C) Compressing datasets (D) Backup only 4. . Supervised learning in ML uses: (A) Encryption keys only (B) Unlabeled data only (C) Labeled data to train models to predict outcomes (D) Backup only 5. . Unsupervised learning in ML uses: (A) Unlabeled data to identify patterns and groupings (B) Labeled data only (C) Encryption data (D) Backup only 6. . Reinforcement learning in ML involves: (A) Learning through trial and error with rewards and penalties (B) Encrypting rewards (C) Compressing rewards (D) Backup only 7. . Common applications of AI include: (A) Backup only (B) Encrypting files only (C) Compressing files only (D) Natural language processing, robotics, image recognition, and autonomous vehicles 8. . Big data analytics helps organizations by: (A) Backup only (B) Encrypting big data (C) Compressing big data (D) Extracting insights from large and complex datasets to make informed decisions 9. . Feature engineering in ML is: (A) Compressing features (B) Encrypting features (C) The process of selecting, transforming, and creating variables for better model performance (D) Backup only 10. . Overfitting in ML occurs when: (A) Encrypting models (B) A model performs well on training data but poorly on new, unseen data (C) Compressing models (D) Backup only 11. . Underfitting occurs when: (A) Compressing models (B) Encrypting models (C) A model is too simple to capture patterns in data (D) Backup only 12. . AI ethics focuses on: (A) Compressing ethical data (B) Encrypting ethical data (C) Ensuring responsible, fair, and transparent use of AI technologies (D) Backup only 13. . Predictive analytics uses: (A) Compression data only (B) Encryption data only (C) Historical data to forecast future trends and behaviors (D) Backup only 14. . Descriptive analytics is used to: (A) Summarize and interpret historical data (B) Encrypt data (C) Compress data (D) Backup only 15. . Prescriptive analytics helps in: (A) Encrypting prescriptions (B) Recommending actions based on data analysis and predictions (C) Compressing predictions (D) Backup only 16. . AI and ML require: (A) Backup only (B) Encrypting datasets only (C) Compressing datasets only (D) Large datasets, computing power, and well-defined algorithms 17. . Natural Language Processing (NLP) is: (A) AI technology that enables machines to understand, interpret, and generate human language (B) Encrypting text (C) Compressing text (D) Backup only 18. . Key challenges in AI and ML include: (A) Backup only (B) Encrypting challenges (C) Compressing challenges (D) Data quality, bias, interpretability, and computational cost 19. . Deep learning is: (A) Backup only (B) Encrypting networks (C) Compressing networks (D) A subset of ML using neural networks with multiple layers for complex pattern recognition 20. . The main purpose of AI, ML, and data analytics is to: (A) Backup only (B) Encrypt data only (C) Compress files only (D) Automate processes, extract insights, and make data-driven decisions efficiently
