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 only
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