MCQs

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Overall MCQs for Reference

1. Which best describes a feedback loop in machine learning?
   a. A loop in data preprocessing
   b. Model output influencing future model inputs
   c. A redundant training iteration
   d. Unsupervised learning only
   Answer: b. Model output influencing future model inputsdeepchecks+2​
2. What is a positive feedback loop in ML?
   a. Reinforces successful outcomes
   b. Penalizes incorrect actions
   c. Stops data iteration
   d. Deletes historical data
   Answer: a. Reinforces successful outcomesirisagent+1​
3. Which type of feedback loop maintains a system in a stable state?
   a. Positive feedback loop
   b. Negative feedback loop
   c. Supervised feedback loop
   d. Random loop
   Answer: b. Negative feedback loopdeepchecks+1​
4. In supervised feedback, who provides the feedback?
   a. The model itself
   b. Human annotators
   c. Random generation
   d. Sensor systems
   Answer: b. Human annotatorssigma+2​
5. What is one risk of a strong positive feedback loop in ML?
   a. Model instability
   b. Model accuracy improvement
   c. Slower training time
   d. Data normalization
   Answer: a. Model instabilitylinkedin+1​
6. Which process benefits most from negative feedback loops?
   a. Financial fraud detection
   b. Autonomous temperature control
   c. Image style transfer
   d. Data visualization
   Answer: b. Autonomous temperature controlirisagent+1​
7. What does a feedback loop typically improve in an AI model?
   a. Performance and accuracy
   b. Data storage
   c. Network speed
   d. Hardware consumption
   Answer: a. Performance and accuracysigma+1​
8. Which feedback loop adapts by learning from errors?
   a. Positive loop
   b. Negative loop
   c. Random loop
   d. Output loop
   Answer: b. Negative loopdeepchecks+1​
9. Feature drift monitoring in ML is a type of:
   a. Output feedback
   b. Feedback loop specific to ML systems
   c. Latency check
   d. Hardware feedback
   Answer: b. Feedback loop specific to ML systemsnewsletter.swirlai​
10. A/B testing is best described as which feedback type?
    a. Positive feedback
    b. Online testing feedback
    c. Negative feedback
    d. Unsupervised feedback
    Answer: b. Online testing feedbacknewsletter.swirlai​
11. What does a feedback loop help detect in real-time ML systems?
    a. Concept drift
    b. Algorithm type
    c. GPU model
    d. Programming language
    Answer: a. Concept driftnewsletter.swirlai+1​
12. Which feedback loop involves directly modifying individual attributes?
    a. Individual feedback loop
    b. Feature feedback loop
    c. Outcome feedback loop
    d. Sampling feedback loop
    Answer: a. Individual feedback loopceur-ws​
13. Which feedback loop affects the representation bias in ML models?
    a. Sampling feedback loop
    b. Feature feedback loop
    c. Positive feedback loop
    d. Negative feedback loop
    Answer: a. Sampling feedback looparxiv+1​
14. How does a human-in-the-loop system enhance ML feedback?
    a. By annotating and correcting predictions
    b. By ignoring model outputs
    c. By deleting data entries
    d. By automating hardware upgrades
    Answer: a. By annotating and correcting predictionssigma​
15. What is the primary goal of a feedback loop in model retraining?
    a. To improve predictions based on new information
    b. To reduce model storage space
    c. To increase batch size only
    d. To stop overfitting by data deletion
    Answer: a. To improve predictions based on new informationsensxpert+1​
16. When does an ML model feedback loop occur?
    a. When decisions affect the training dataset for future predictions
    b. When data is transmitted through WiFi
    c. At every hardware upgrade
    d. Only in unsupervised learning
    Answer: a. When decisions affect the training dataset for future predictionsceur-ws+1​
17. A recommender system that reinforces popular choices is an example of:
    a. Positive feedback loop
    b. Negative feedback loop
    c. Sampling feedback loop
    d. Adversarial feedback loop
    Answer: a. Positive feedback looptowardsdatascience+2​
18. What is a feedback loop’s effect on bias in ML?
    a. Can perpetuate, reduce, or reinforce bias
    b. Only increases bias
    c. Has no effect on bias
    d. Eliminates all bias
    Answer: a. Can perpetuate, reduce, or reinforce biasarxiv+1​
19. What type of feedback is common in reinforcement learning?
    a. Reward and penalty signals
    b. Annotated image labeling
    c. Sensor hardware adjustments
    d. Database migrations
    Answer: a. Reward and penalty signalsirisagent​
20. Outcome feedback loops affect which ML aspect?
    a. Realization and observation of outcomes
    b. Training time
    c. Hardware efficiency
    d. Loop iteration count
    Answer: a. Realization and observation of outcomesceur-ws​
21. Monitoring system latency is an example of:
    a. Service feedback loop
    b. Individual feedback loop
    c. Feature drift feedback
    d. None
    Answer: a. Service feedback loopnewsletter.swirlai​
22. What ensures feedback loops do not amplify unwanted behaviors?
    a. Careful monitoring and adjustment
    b. Increasing model complexity
    c. Ignoring user feedback
    d. Decreasing batch sizes
    Answer: a. Careful monitoring and adjustmentirisagent+1​
23. In feedback loops, what is retraining with new data called?
    a. Iteration
    b. Feature drift
    c. Data drift
    d. Random feedback
    Answer: a. Iterationsensxpert+1​
24. How does adversarial feedback loop differ from non-adversarial feedback?
    a. Involves strategic action by affected individuals
    b. Is faster in response time
    c. Only in hardware scenarios
    d. No influence on model
    Answer: a. Involves strategic action by affected individualsarxiv+1​
25. Which step is NOT part of a feedback loop?
    a. Input acquisition
    b. Model prediction
    c. Ignoring feedback
    d. Feedback collection
    Answer: c. Ignoring feedbacksigma+1​
26. In neural networks, what kind of network uses feedback?
    a. Auto-associative network
    b. Standard feedforward network
    c. Convolutional network only
    d. Linear regression
    Answer: a. Auto-associative networksanfoundry​
27. Which type of feedback does NOT involve human input?
    a. Unsupervised feedback
    b. Supervised feedback
    c. Reinforcement feedback
    d. Individual feedback loop
    Answer: a. Unsupervised feedbacksupahub+1​
28. What is the effect of feature feedback loops in ML?
    a. Measurement bias
    b. Algorithm selection
    c. Hardware calibration
    d. Network speed increase
    Answer: a. Measurement biasceur-ws+1​
29. Which loop is crucial for end-to-end ML DevOps pipelines?
    a. Feedback loop at every stage
    b. Only at deployment
    c. Only during testing
    d. Only during data acquisition
    Answer: a. Feedback loop at every stagewjaets​
30. Why is online feedback testing important in ML systems?
    a. Evaluates model on real business metrics
    b. Determines hardware limits
    c. Changes algorithm architecture
    d. Increases neural network size
    Answer: a. Evaluates model on real business metricsnewsletter.swirlai​
31. Which type of loop acts on the observable characteristics of individuals?
    a. Feature feedback loop
    b. Individual feedback loop
    c. Sampling feedback loop
    d. Model feedback loop
    Answer: a. Feature feedback loopceur-ws​
32. Closed-loop learning in ML refers to:
    a. Using output and end-user actions to inform next model iteration
    b. Data transfer closure
    c. Finalizing hardware architecture
    d. Looping over training labels only
    Answer: a. Using output and end-user actions to inform next model iterationc3+1​
33. Which feedback loop is commonly used to alert on data drift?
    a. Monitoring feedback loop
    b. Training feedback loop
    c. Feature feedback loop
    d. Outcome feedback loop
    Answer: c. Feature feedback loopnewsletter.swirlai+1​
34. Why is it important to distinguish feedback loop types in ML pipelines?
    a. To anticipate and prevent biases
    b. To stop training prematurely
    c. To increase hardware energy use
    d. To ignore future outcomes
    Answer: a. To anticipate and prevent biasesarxiv+1​
35. What role do annotators play in iterative feedback loops?
    a. Refine data and flag biases
    b. Only label images
    c. Set hardware specifications
    d. Delete repeated datasets
    Answer: a. Refine data and flag biasessupahub+1​
36. Sampling feedback loop can lead to which ML bias?
    a. Representation bias
    b. Measurement bias
    c. Historical bias
    d. Outcome bias
    Answer: a. Representation biasarxiv+1​
37. An adversarial feedback loop can be initiated by:
    a. Strategic individual action
    b. Automated hardware updates
    c. Model overfitting only
    d. Unsupervised learning
    Answer: a. Strategic individual actionceur-ws+1​
38. Which loop is concerned with data annotation quality?
    a. Feedback loop with human review
    b. Feature drift loop
    c. Sampling loop only
    d. Neural loop exclusively
    Answer: a. Feedback loop with human reviewsupahub+1​
39. The main advantage of a feedback loop for business metrics is:
    a. Continuous model improvement
    b. Increased hardware reliability
    c. Shorter testing cycles
    d. Isolated decision making
    Answer: a. Continuous model improvementsigma+1​
40. Which feedback type is self-generated by the model itself?
    a. Self-supervised feedback
    b. Supervised feedback
    c. Negative feedback
    d. Feature feedback
    Answer: a. Self-supervised feedbackirisagent​
41. In recommender systems, feedback loops can result in:
    a. Reinforcement of popular products
    b. Random product selection
    c. Irrelevant recommendations only
    d. Halted model iteration
    Answer: a. Reinforcement of popular productstowardsdatascience+1​
42. Which feedback loop updates the extraction and realization of features?
    a. Feature feedback loop
    b. Outcome feedback loop
    c. Individual loop
    d. Sampling feedback loop
    Answer: a. Feature feedback looparxiv+1​
43. In AI, human feedback is essential for:
    a. Preventing silent creep of bias
    b. Increasing algorithm speed
    c. Data storage upgrades
    d. Loop termination
    Answer: a. Preventing silent creep of biassupahub+1​
44. Which process cycles until the AI system reaches proficiency?
    a. Continuous feedback loop iteration
    b. Hardware reboot
    c. Data transfer closure
    d. Model inversion
    Answer: a. Continuous feedback loop iterationirisagent+1​
45. How is feedback utilized following model prediction?
    a. Human review and model adjustment
    b. Data compression only
    c. Ignoring prediction
    d. Labeling with random values
    Answer: a. Human review and model adjustmentsupahub+1​
46. What is the purpose of retraining in feedback loop cycles?
    a. Improve future predictions using new data
    b. Delete historical model checkpoints
    c. Generate synthetic data
    d. Change annotation guidelines only
    Answer: a. Improve future predictions using new datasensxpert+1​
47. Closed-loop learning is also known as:
    a. Feedback loop
    b. Reinforcement loop
    c. Randomized loop
    d. Annotation cycle
    Answer: a. Feedback loopzonkafeedback+1​
48. Feedback loops in real-time AI systems are essential for:
    a. Adaptive prediction and error correction
    b. Model encryption only
    c. Static output generation
    d. Data compression exclusively
    Answer: a. Adaptive prediction and error correctionzonkafeedback+2​
49. What ensures feedback loops remain aligned with business objectives?
    a. Monitoring chosen metrics and user feedback
    b. Random sampling
    c. Increasing annotation speed
    d. Limiting human intervention
    Answer: a. Monitoring chosen metrics and user feedbacksigma+1​
50. Which feedback type allows the AI model to autonomously improve via self-play?
    a. Self-supervised feedback
    b. Supervised feedback
    c. Negative feedback
    d. Feature feedback
    Answer: a. Self-supervised feedbackirisagent​

1. https://www.deepchecks.com/question/how-do-youcreate-feedback-loops-for-machine-learning-models/
2. https://irisagent.com/blog/the-power-of-feedback-loops-in-ai-learning-from-mistakes/
3. https://sigma.ai/feedback-loops-ai/
4. https://www.linkedin.com/pulse/positive-feedback-loops-machine-learning-systems-anton-khritankov
5. https://supahub.com/glossary/ai-feedback-loop
6. https://www.newsletter.swirlai.com/p/sai-24-feedback-loops-in-machine
7. https://ceur-ws.org/Vol-3442/paper-18.pdf
8. https://arxiv.org/pdf/2305.06055.pdf
9. https://sensxpert.com/blog/feedback-loops-model-validation-retraining/
10. https://towardsdatascience.com/handling-feedback-loops-in-recommender-systems-deep-bayesian-bandits-e83f34e2566a/
11. https://www.sanfoundry.com/artificial-intelligence-mcqs-neural-networks-1/
12. https://wjaets.com/sites/default/files/WJAETS-2024-0424.pdf
13. https://c3.ai/glossary/features/feedback-loop/
14. https://www.zonkafeedback.com/blog/ai-feedback-loop
15. https://testbook.com/question-answer/what-does-the-term-feedback-loop-imp–68bb8e6c820085211b96af26
16. https://diptisurvase.wordpress.com/wp-content/uploads/2022/09/ml-mcqs.pdf
17. https://www.freshersnow.com/machine-learning-mcqs-and-answers-with-explanation/
18. https://dl.acm.org/doi/10.1145/3617574.3617861
19. https://www.scribd.com/document/551547756/Machine-Learning-Unit-2-MCQ
20. https://dl.acm.org/doi/fullHtml/10.1145/3617694.3623227