Keep a clear mind while getting ready for the competitive and qualifying exams as clarity allows you to concentrate better and make wise decisions.
Moreover, recall that focus is more important than talent in terms of consistent performance and achieving the goal in the long run. Commit yourself to completing what you have started consciously, whether it is a study session, a revision plan, or a practice test.
Develop powerful habits that will daily nourish your learning and improvement gradually and get organized to keep growing, by employing clean schedules and sensible goals. At last, eliminating procrastination is to be done in a friendly way with the help of patience, structure, and self, discipline, not pressure.
Keep your focus, keep your consistency, and believe that your habits will take you to the success of qualification.
Note- Attend all 200 Questions Compulsory with Right Answer For Contest Continue & chase Competition ⤵️
1. Artificial intelligence is best described as:
A. Human-like consciousness in machines
B. Machines performing tasks that require human intelligence
C. Fully autonomous robots
D. Science fiction technology
2. AI systems typically rely on:
A. Data
B. Algorithms
C. Computing power
D. All of the above
3. Machine learning is a subset of AI that focuses on:
A. Hard-coded rules
B. Learning from data
C. Mechanical automation
D. Hardware design
4. AI differs from traditional software because it:
A. Learns patterns
B. Adapts over time
C. Makes predictions
D. All of the above
5. Narrow AI refers to systems that:
A. Match human intelligence
B. Perform specific tasks
C. Possess emotions
D. Think independently
6. Examples of narrow AI include:
A. Voice assistants
B. Recommendation systems
C. Image recognition
D. All of the above
7. General AI would theoretically be able to:
A. Learn any intellectual task
B. Reason like a human
C. Adapt across domains
D. All of the above
8. Current AI systems are best described as:
A. Conscious
B. Self-aware
C. Task-specific
D. Autonomous beings
9. Data quality affects AI performance by:
A. Improving accuracy
B. Reducing bias
C. Influencing outcomes
D. All of the above
10. AI systems learn patterns mainly from:
A. Examples
B. Training datasets
C. Feedback loops
D. All of the above
11. Deep learning is based on:
A. Neural networks
B. Logical rules
C. Databases
D. Hardware chips
12. Neural networks are inspired by:
A. Computer circuits
B. Human brain structure
C. Internet networks
D. Mathematical graphs
13. Natural language processing (NLP) allows AI to:
A. Understand text
B. Generate language
C. Translate speech
D. All of the above
14. Computer vision enables machines to: A. See images
B. Interpret videos
C. Recognize objects
D. All of the above
15. Reinforcement learning involves:
A. Trial and error
B. Rewards and penalties
C. Environment interaction
D. All of the above
16. Generative AI is designed to:
A. Classify data
B. Create new content
C. Store information
D. Secure networks
17. Large language models are trained on:
A. Structured databases
B. Text and language data
C. Sensor inputs
D. Manual rules
18. AI models improve accuracy by:
A. More training data
B. Better algorithms
C. Feedback tuning
D. All of the above
19. Bias in AI often originates from:
A. Training data
B. Design decisions
C. Social context
D. All of the above
20. Explainable AI focuses on:
A. Performance only
B. Transparency
C. User trust
D. Both B and C
21. AI is commonly used in smartphones for:
A. Face recognition
B. Voice assistants
C. Camera enhancement
D. All of the above
22. Recommendation algorithms influence:
A. What we watch
B. What we buy
C. What we read
D. All of the above
23. AI improves navigation by:
A. Predicting traffic
B. Optimizing routes
C. Analyzing patterns
D. All of the above
24. Smart home systems rely on AI for:
A. Automation
B. Energy management
C. Security monitoring
D. All of the above
25. AI chatbots are used mainly for:
A. Customer service
B. Information access
C. User interaction
D. All of the above
26. AI-powered translation helps with:
A. Language access
B. Global communication
C. Cultural exchange
D. All of the above
27. AI affects social media by:
A. Ranking content
B. Moderating posts
C. Targeting ads
D. All of the above
28. Voice recognition accuracy depends on:
A. Audio quality
B. Accent diversity
C. Training data
D. All of the above
29. AI in photography improves:
A. Image quality
B. Low-light shots
C. Object detection
D. All of the above
30. Everyday AI often works:
A. Invisibly
B. Automatically
C. In the background
D. All of the above
31. Businesses use AI to:
A. Increase efficiency
B. Reduce costs
C. Improve decisions
D. All of the above
32. AI-driven analytics help companies:
A. Predict trends
B. Understand customers
C. Optimize operations
D. All of the above
33. Automation powered by AI affects jobs by:
A. Replacing some tasks
B. Creating new roles
C. Changing skill needs
D. All of the above
34. AI in finance is used for:
A. Fraud detection
B. Risk analysis
C. Algorithmic trading
D. All of the above
35. Retailers use AI to:
A. Manage inventory
B. Personalize offers
C. Forecast demand
D. All of the above
36. AI adoption challenges include:
A. Cost
B. Skills gap
C. Data availability
D. All of the above
37. Startups leverage AI to:
A. Scale faster
B. Innovate products
C. Compete globally
D. All of the above
38. AI changes productivity mainly by:
A. Automating routine work
B. Enhancing human decision-making
C. Speeding processes
D. All of the above
39. Ethical AI practices are important for:
A. Consumer trust
B. Brand reputation
C. Regulatory compliance
D. All of the above
40. AI-driven decision systems require:
A. Oversight
B. Testing
C. Accountability
D. All of the above
41. AI supports healthcare through:
A. Diagnostics
B. Imaging analysis
C. Treatment planning
D. All of the above
42. Medical AI systems assist doctors by:
A. Reducing workload
B. Improving accuracy
C. Speeding diagnosis
D. All of the above
43. AI in education enables:
A. Personalized learning
B. Adaptive testing
C. Student support
D. All of the above
44. Learning analytics help educators:
A. Track progress
B. Identify gaps
C. Improve outcomes
D. All of the above
45. AI tutoring systems are designed to:
A. Replace teachers
B. Support learners
C. Provide feedback
D. Both B and C
46. Healthcare AI risks include:
A. Data privacy issues
B. Bias in diagnosis
C. Over-reliance on systems
D. All of the above
47. AI helps medical research by:
A. Analyzing datasets
B. Discovering patterns
C. Speeding trials
D. All of the above
48. AI-based grading systems raise concerns about:
A. Fairness
B. Transparency
C. Accuracy
D. All of the above
49. Patient trust in AI depends on:
A. Reliability
B. Explainability
C. Human oversight
D. All of the above
50. AI-enabled telemedicine improves:
A. Access
B. Efficiency
C. Remote care
D. All of the above
51. Ethical AI seeks to ensure:
A. Fairness
B. Transparency
C. Accountability
D. All of the above
52. Bias in AI can lead to:
A. Discrimination
B. Unfair outcomes
C. Loss of trust
D. All of the above
53. Data privacy concerns arise from:
A. Data collection
B. Data storage
C. Data usage
D. All of the above
54. AI regulation aims to:
A. Protect users
B. Ensure safety
C. Guide innovation
D. All of the above
55. Facial recognition debates focus on:
A. Privacy
B. Surveillance
C. Accuracy
D. All of the above
56. AI transparency helps users:
A. Understand decisions
B. Build trust
C. Challenge outcomes
D. All of the above
57. Responsible AI development includes:
A. Human oversight
B. Bias testing
C. Ethical review
D. All of the above
58. AI misuse risks include:
A. Misinformation
B. Deepfakes
C. Cybercrime
D. All of the above
59. Social impact of AI includes:
A. Job shifts
B. Power concentration
C. Digital divides
D. All of the above
60. Public trust in AI depends on:
A. Governance
B. Transparency
C. Accountability
D. All of the above
61. AI-generated content affects journalism by:
A. Speeding production
B. Raising credibility questions
C. Changing workflows
D. All of the above
62. Deepfake technology raises concerns about:
A. Misinformation
B. Trust in media
C. Political manipulation
D. All of the above
63. AI tools assist journalists through:
A. Data analysis
B. Fact-checking support
C. Content summarization
D. All of the above
64. Creative industries use AI for:
A. Music generation
B. Visual art
C. Writing assistance
D. All of the above
65. AI’s future development depends on:
A. Research investment
B. Regulation
C. Public acceptance
D. All of the above
66. Human–AI collaboration is expected to:
A. Enhance productivity
B. Support creativity
C. Improve decision-making
D. All of the above
67. AI literacy is important for:
A. Informed citizens
B. Workforce readiness
C. Ethical use
D. All of the above
68. Concerns about AI autonomy focus on:
A. Control
B. Alignment
C. Safety
D. All of the above
69. The future of work with AI will involve:
A. Reskilling
B. New job roles
C. Human–machine teamwork
D. All of the above
70. AI’s long-term societal impact will depend on:
A. Governance choices
B. Ethical standards
C. Human values
D. All of the above
71. Public debate on AI is shaped by:
A. Media coverage
B. Expert voices
C. Personal experience
D. All of the above
72. AI innovation must balance:
A. Speed
B. Safety
C. Responsibility
D. All of the above
73. Global AI competition influences:
A. Economic power
B. Security policy
C. Innovation leadership
D. All of the above
74. AI governance requires cooperation between:
A. Governments
B. Industry
C. Civil society
D. All of the above
75. AI adoption in society should prioritize:
A. Human benefit
B. Fair access
C. Long-term sustainability
D. All of the above
76. AI’s role in problem-solving includes:
A. Climate modeling
B. Healthcare innovation
C. Urban planning
D. All of the above
77. Public fears about AI often relate to:
A. Job loss
B. Loss of control
C. Ethical misuse
D. All of the above
78. Building trustworthy AI requires:
A. Transparency
B. Accountability
C. Inclusive design
D. All of the above
79. The most common expert advice on AI is to:
A. Adopt cautiously
B. Invest in skills
C. Regulate responsibly
D. All of the above
80. Ultimately, AI’s value will be measured by its ability to:
A. Serve human needs
B. Improve quality of life
C. Support sustainable progress
D. All of the above
81. AI regulation aims primarily to:
A. Slow innovation
B. Protect public interest
C. Control companies
D. Replace human judgment
82. Governments regulate AI to address:
A. Safety risks
B. Bias and discrimination
C. Accountability
D. All of the above
83. AI laws often struggle because technology:
A. Evolves quickly
B. Crosses borders
C. Is hard to define
D. All of the above
84. Global AI governance requires:
A. International cooperation
B. Shared standards
C. Policy alignment
D. All of the above
85. The main challenge of regulating AI models is:
A. Transparency
B. Scale
C. Rapid deployment
D. All of the above
86. AI oversight bodies are designed to:
A. Audit systems
B. Enforce standards
C. Protect users
D. All of the above
87. Liability for AI decisions raises questions about:
A. Developers
B. Deployers
C. End users
D. All of the above
88. Ethical AI guidelines usually emphasize:
A. Human rights
B. Fairness
C. Accountability
D. All of the above
89. Regulating generative AI focuses on:
A. Content accuracy
B. Misinformation risks
C. Copyright issues
D. All of the above
90. AI policy debates often balance:
A. Innovation
B. Safety
C. Economic competitiveness
D. All of the above
91. National AI strategies usually aim to:
A. Build local capacity
B. Attract investment
C. Develop talent
D. All of the above
92. AI regulation differs globally due to:
A. Political systems
B. Economic priorities
C. Cultural values
D. All of the above
93. Public consultation in AI governance helps:
A. Build trust
B. Reflect social values
C. Improve legitimacy
D. All of the above
94. Enforcement of AI laws is difficult because of:
A. Technical complexity
B. Limited expertise
C. Jurisdictional issues
D. All of the above
95. AI governance frameworks often include:
A. Risk classification
B. Impact assessments
C. Human oversight rules
D. All of the above
96. Transparency requirements aim to ensure:
A. Explainability
B. Accountability
C. User understanding
D. All of the above
97. Algorithmic audits are used to:
A. Detect bias
B. Test performance
C. Ensure compliance
D. All of the above
98. AI regulation may affect startups by:
A. Increasing compliance costs
B. Raising entry barriers
C. Shaping innovation paths
D. All of the above
99. Open-source AI raises regulatory questions about:
A. Responsibility
B. Control
C. Misuse
D. All of the above
100. The future of AI law will likely be:
A. Adaptive
B. Risk-based
C. Iterative
D. All of the above
101. AI affects employment primarily by:
A. Automating tasks
B. Reshaping roles
C. Creating new jobs
D. All of the above
102. Jobs most affected by AI are those involving:
A. Repetitive tasks
B. Data processing
C. Pattern recognition
D. All of the above
103. AI is more likely to:
A. Replace entire professions
B. Replace specific tasks
C. Eliminate all jobs
D. Stop human work
104. Reskilling is necessary because AI:
A. Changes skill demands
B. Alters workflows
C. Creates new tools
D. All of the above
105. Creative workers are using AI to:
A. Speed production
B. Generate ideas
C. Experiment creatively
D. All of the above
106. Workplace AI raises concerns about:
A. Surveillance
B. Productivity pressure
C. Worker autonomy
D. All of the above
107. AI-driven hiring systems raise issues of:
A. Bias
B. Transparency
C. Fair access
D. All of the above
108. AI productivity gains may lead to:
A. Economic growth
B. Job displacement
C. Inequality shifts
D. All of the above
109. Labor unions increasingly focus on:
A. AI transparency
B. Worker protection
C. Human oversight
D. All of the above
110. AI in management decisions can affect:
A. Performance evaluation
B. Scheduling
C. Promotions
D. All of the above
111. Knowledge workers use AI mainly as:
A. Assistants
B. Research tools
C. Drafting aids
D. All of the above
112. Gig economy platforms use AI for:
A. Task allocation
B. Pricing
C. Worker evaluation
D. All of the above
113. AI adoption can widen inequality if:
A. Skills access is uneven
B. Benefits are concentrated
C. Regulation is weak
D. All of the above
114. Ethical workplace AI requires:
A. Transparency
B. Worker consent
C. Human oversight
D. All of the above
115. AI’s impact on work culture includes:
A. Faster pace
B. Data-driven decisions
C. Remote collaboration
D. All of the above
116. New AI-related jobs include:
A. Prompt designers
B. AI auditors
C. Ethics specialists
D. All of the above
117. Employers adopt AI to:
A. Reduce costs
B. Improve efficiency
C. Gain competitive advantage
D. All of the above
118. AI training data may reflect:
A. Historical inequality
B. Past hiring patterns
C. Social bias
D. All of the above
119. Future labor policy must address:
A. Job transitions
B. Social protection
C. Lifelong learning
D. All of the above
120. The long-term impact of AI on work remains:
A. Certain
B. Fixed
C. Uncertain
D. Fully predictable
121. Generative AI challenges traditional ideas of:
A. Authorship
B. Originality
C. Ownership
D. All of the above
122. Artists use AI as:
A. A collaborator
B. A tool
C. A source of inspiration
D. All of the above
123. AI-generated art raises questions about:
A. Copyright
B. Attribution
C. Fair compensation
D. All of the above
124. Music created with AI can be:
A. Fully automated
B. Human-guided
C. Hybrid collaboration
D. All of the above
125. AI creativity depends heavily on:
A. Training data
B. Model design
C. Human input
D. All of the above
126. Cultural critics worry AI may:
A. Homogenize content
B. Reduce diversity
C. Favor dominant styles
D. All of the above
127. AI tools help writers by:
A. Drafting text
B. Editing
C. Generating ideas
D. All of the above
128. Film and media use AI for:
A. Visual effects
B. Script analysis
C. Localization
D. All of the above
129. AI challenges creative labor markets by:
A. Increasing supply
B. Lowering barriers
C. Changing value perception
D. All of the above
130. Cultural acceptance of AI art depends on:
A. Transparency
B. Human involvement
C. Social norms
D. All of the above
131. AI-generated content risks include:
A. Plagiarism
B. Misinformation
C. Cultural dilution
D. All of the above
132. Museums and galleries explore AI to:
A. Create exhibits
B. Analyze collections
C. Engage audiences
D. All of the above
133. AI storytelling raises ethical concerns about:
A. Representation
B. Bias
C. Stereotyping
D. All of the above
134. Creative AI adoption varies across:
A. Cultures
B. Industries
C. Generations
D. All of the above
135. AI challenges the idea that creativity is:
A. Exclusively human
B. Emotion-based
C. Intentional
D. All of the above
136. Cultural policy debates around AI focus on:
A. Protection of artists
B. Fair compensation
C. Cultural diversity
D. All of the above
137. AI-generated media can influence:
A. Public opinion
B. Cultural narratives
C. Social norms
D. All of the above
138. Transparency in AI art helps audiences:
A. Understand process
B. Evaluate authenticity
C. Build trust
D. All of the above
139. AI creativity tools lower barriers for:
A. New creators
B. Non-experts
C. Underrepresented voices
D. All of the above
140. The future of creativity with AI is likely to be:
A. Collaborative
B. Hybrid
C. Evolving
D. All of the above
141. Major AI risks discussed by experts include:
A. Misinformation
B. Bias
C. Loss of control
D. All of the above
142. AI safety research focuses on:
A. Alignment
B. Robustness
C. Reliability
D. All of the above
143. Alignment means AI systems:
A. Follow human values
B. Act as intended
C. Avoid harmful outcomes
D. All of the above
144. Autonomous AI raises concerns about:
A. Accountability
B. Control
C. Ethics
D. All of the above
145. Misinformation risks increase with:
A. Generative models
B. Scale of deployment
C. Speed of sharing
D. All of the above
146. AI misuse can occur through:
A. Malicious actors
B. Poor design
C. Lack of oversight
D. All of the above
147. Safety testing of AI models includes:
A. Stress testing
B. Red teaming
C. Scenario analysis
D. All of the above
148. Long-term AI risks are hard to assess because:
A. Technology is evolving
B. Outcomes are uncertain
C. Social impact is complex
D. All of the above
149. Calls for AI pauses focus on:
A. Risk assessment
B. Governance gaps
C. Public safety
D. All of the above
150. AI concentration among few companies raises:
A. Power imbalance
B. Market dominance
C. Governance concerns
D. All of the above
151. Open access to AI models can:
A. Democratize innovation
B. Increase misuse risk
C. Challenge regulation
D. All of the above
152. AI safety debates include:
A. Technical risks
B. Social risks
C. Existential risks
D. All of the above
153. Trustworthy AI requires:
A. Testing
B. Transparency
C. Accountability
D. All of the above
154. International AI safety cooperation aims to:
A. Share research
B. Prevent harm
C. Coordinate standards
D. All of the above
155. Public fear of AI often stems from:
A. Media narratives
B. Job insecurity
C. Lack of understanding
D. All of the above
156. Long-term AI scenarios range from:
A. Beneficial collaboration
B. Economic disruption
C. Loss of human control
D. All of the above
157. Human-in-the-loop systems ensure:
A. Oversight
B. Intervention
C. Accountability
D. All of the above
158. AI arms race concerns involve:
A. Speed over safety
B. National competition
C. Reduced oversight
D. All of the above
159. Managing AI risk requires:
A. Technical solutions
B. Policy frameworks
C. Social dialogue
D. All of the above
160. The future impact of AI depends largely on:
A. Human choices
B. Governance decisions
C. Ethical priorities
D. All of the above
161. AI reflects societal values through:
A. Training data
B. Design choices
C. Deployment context
D. All of the above
162. Public acceptance of AI depends on:
A. Trust
B. Perceived benefit
C. Fairness
D. All of the above
163. AI systems can reinforce inequality if:
A. Bias is unaddressed
B. Access is limited
C. Oversight is weak
D. All of the above
164. Democratic oversight of AI includes:
A. Public debate
B. Regulation
C. Accountability mechanisms
D. All of the above
165. AI affects human autonomy by:
A. Influencing choices
B. Shaping information
C. Automating decisions
D. All of the above
166. Cultural attitudes toward AI differ based on:
A. History
B. Trust in institutions
C. Economic conditions
D. All of the above
167. Human-centered AI prioritizes:
A. Well-being
B. Dignity
C. Human control
D. All of the above
168. AI literacy helps citizens:
A. Understand risks
B. Use tools effectively
C. Make informed decisions
D. All of the above
169. Public participation in AI policy improves:
A. Legitimacy
B. Fairness
C. Trust
D. All of the above
170. AI narratives in media shape:
A. Public perception
B. Policy pressure
C. Adoption rates
D. All of the above
171. Ethical AI frameworks are influenced by:
A. Cultural norms
B. Legal traditions
C. Social values
D. All of the above
172. AI challenges the meaning of:
A. Work
B. Creativity
C. Intelligence
D. All of the above
173. Long-term human–AI coexistence requires:
A. Mutual adaptation
B. Clear boundaries
C. Ongoing governance
D. All of the above
174. AI may change social relationships by:
A. Mediating interaction
B. Replacing some roles
C. Altering communication
D. All of the above
175. AI’s societal benefits depend on:
A. Inclusive design
B. Fair access
C. Responsible deployment
D. All of the above
176. Public trust erodes when AI systems are:
A. Opaque
B. Biased
C. Unaccountable
D. All of the above
177. Human values must guide AI to ensure:
A. Safety
B. Fairness
C. Shared benefit
D. All of the above
178. AI adoption should consider impacts on:
A. Vulnerable groups
B. Social cohesion
C. Democracy
D. All of the above
179. AI ethics is ultimately about:
A. Power
B. Responsibility
C. Human choice
D. All of the above
180. The most important question about AI’s future is:
A. What can it do
B. Who controls it
C. Who benefits
D. All of the above
a) Surveillance networks
b) Workforce training
c) Supply chain coordination
d) Governance
182. Which issue shapes trust in official statistics?
a) Independence
b) Methodology
c) Transparency
d) Communication
183. Which concern shapes cross-border energy infrastructure projects?
a) Regulatory alignment
b) Financing risk
c) Political trust
d) Technical standards
184. Which factor shapes humanitarian funding allocation?
a) Severity of need
b) Donor priorities
c) Access constraints
d) Accountability
185. Which trend informs digital inclusion strategies?
a) Infrastructure rollout
b) Affordability programs
c) Skills development
d) Local content
186. Which issue shapes global climate finance credibility?
a) Additionality
b) Measurement
c) Verification
d) Transparency
187. Which concern shapes public acceptance of automation?
a) Job security
b) Productivity gains
c) Regulation
d) Social protection
188. Which factor shapes international education system resilience?
a) Digital capacity
b) Teacher support
c) Equity
d) Financing
189. Which trend informs future disaster risk governance?
a) Anticipation
b) Coordination
c) Learning systems
d) Accountability
190. Which issue shapes humanitarian data responsibility?
a) Consent
b) Data minimization
c) Protection
d) Oversight
191. Which concern shapes cross-border digital trade facilitation?
a) E-documents
b) Customs automation
c) Interoperability
d) Legal recognition
192. Which factor shapes climate-resilient urban investment?
a) Risk screening
b) Financing tools
c) Governance
d) Community engagement
193. Which trend informs international peacebuilding finance?
a) Long-term funding
b) Local ownership
c) Results measurement
d) Donor coordination
194. Which issue shapes public trust in environmental data?
a) Open access
b) Scientific rigor
c) Independent review
d) Communication
195. Which concern shapes humanitarian access negotiation success?
a) Neutrality
b) Security guarantees
c) Monitoring
d) Political support
196. Which factor shapes digital government service quality?
a) Reliability
b) User experience
c) Data protection
d) Accessibility
197. Which trend informs climate-smart transport planning?
a) Electrification
b) Modal shifts
c) Demand management
d) Infrastructure
198. Which issue shapes global biodiversity governance effectiveness?
a) National implementation
b) Financing
c) Monitoring
d) Enforcement
199. Which concern shapes international tax cooperation trust?
a) Information exchange
b) Transparency
c) Fairness
d) Sovereignty
200. Which factor shapes humanitarian workforce resilience?
a) Training
b) Safety
c) Well-being
d) Career development
