Preparing for those tough exams, try your best. What you choose to do, impacts not only your performance but also your feelings.
Focus on keeping calm to create a study plan that helps you increase concentration, self, confidence, and emotional strength.
Stop looking at others and just keep going. You have a unique journey and pace. Stop making excuses and take responsibility for your studies and actions.
Most importantly, be disciplined to make your dreams a reality. Discipline turns dreams into achievements.
Stay focused, hold on tight, and keep working steadily toward your goal; you are building your future.
Note- Attend all 200 Questions Compulsory with Right Answer For Contest Continue & chase Competition ⤵️
1. AI has become a strategic priority for nations because it affects:
A. Economic power
B. Military capability
C. Technological leadership
D. All of the above
2. Countries compete in AI development to gain:
A. Global influence
B. Economic advantage
C. Security leverage
D. All of the above
3. AI rivalry between major powers raises concerns about:
A. Arms races
B. Reduced cooperation
C. Safety shortcuts
D. All of the above
4. National AI strategies often emphasize:
A. Talent development
B. Data access
C. Innovation ecosystems
D. All of the above
5. AI geopolitics is shaped by access to:
A. Computing power
B. Data resources
C. Skilled researchers
D. All of the above
6. Export controls on AI technologies aim to:
A. Protect national security
B. Limit misuse
C. Control strategic advantage
D. All of the above
7. AI supply chains depend heavily on:
A. Semiconductors
B. Cloud infrastructure
C. Energy availability
D. All of the above
8. Smaller countries approach AI competition by:
A. Forming alliances
B. Specializing in niches
C. Adopting global standards
D. All of the above
9. Global AI leadership is influenced by:
A. Research funding
B. Regulation quality
C. Industry strength
D. All of the above
10. International AI cooperation focuses on:
A. Safety research
B. Ethical standards
C. Shared governance
D. All of the above
11. AI competition risks prioritizing:
A. Speed over safety
B. Scale over ethics
C. Power over trust
D. All of the above
12. Data localization laws affect AI by:
A. Limiting data flows
B. Increasing costs
C. Shaping innovation paths
D. All of the above
13. AI diplomacy includes discussions on:
A. Norms
B. Standards
C. Risk reduction
D. All of the above
14. Military use of AI raises questions about:
A. Accountability
B. Escalation risks
C. Human control
D. All of the above
15. Autonomous weapons debates center on:
A. Ethics
B. International law
C. Civilian protection
D. All of the above
16. AI intelligence tools affect geopolitics by:
A. Speeding analysis
B. Expanding surveillance
C. Influencing decisions
D. All of the above
17. Developing countries fear AI geopolitics may:
A. Widen inequality
B. Concentrate power
C. Limit access
D. All of the above
18. AI standards bodies play roles in:
A. Technical coordination
B. Norm-setting
C. Market influence
D. All of the above
19. AI sanctions could impact:
A. Research collaboration
B. Supply chains
C. Innovation speed
D. All of the above
20. Long-term AI geopolitics will depend on:
A. Cooperation
B. Competition
C. Governance choices
D. All of the above
21. AI is used in defense for:
A. Intelligence analysis
B. Logistics
C. Simulation and training
D. All of the above
22. AI-enabled surveillance raises concerns about:
A. Privacy
B. Civil liberties
C. Oversight
D. All of the above
23. Cybersecurity relies on AI for:
A. Threat detection
B. Anomaly analysis
C. Rapid response
D. All of the above
24. AI can both defend and enable:
A. Cyberattacks
B. Disinformation campaigns
C. Digital espionage
D. All of the above
25. Military AI systems must address:
A. Reliability
B. Explainability
C. Human control
D. All of the above
26. Autonomous decision-making in combat raises:
A. Ethical dilemmas
B. Legal questions
C. Escalation risks
D. All of the above
27. AI-driven intelligence analysis may:
A. Reduce human workload
B. Increase speed
C. Introduce bias
D. All of the above
28. Defense AI testing requires:
A. Simulation
B. Stress testing
C. Red teaming
D. All of the above
29. International humanitarian law debates focus on:
A. Civilian protection
B. Accountability
C. Human oversight
D. All of the above
30. AI arms control proposals include:
A. Bans on autonomy
B. Transparency measures
C. Confidence-building steps
D. All of the above
31. Security agencies use AI to:
A. Monitor threats
B. Analyze data
C. Allocate resources
D. All of the above
32. AI errors in security contexts can cause:
A. False positives
B. Escalation
C. Loss of trust
D. All of the above
33. Military AI ethics emphasize:
A. Human responsibility
B. Proportionality
C. Control
D. All of the above
34. AI-powered border systems raise concerns about:
A. Bias
B. Accuracy
C. Human rights
D. All of the above
35. Strategic stability may be affected by AI through:
A. Faster decision cycles
B. Reduced transparency
C. Increased uncertainty
D. All of the above
36. AI security cooperation requires:
A. Information sharing
B. Joint standards
C. Trust-building
D. All of the above
37. Dual-use AI technologies complicate:
A. Regulation
B. Export controls
C. Enforcement
D. All of the above
38. AI-enabled misinformation can influence:
A. Elections
B. Public trust
C. Social stability
D. All of the above
39. Security agencies must balance AI use with:
A. Oversight
B. Rights protection
C. Accountability
D. All of the above
40. Long-term security risks of AI depend on:
A. Governance
B. Control mechanisms
C. International norms
D. All of the above
41. Data is central to AI because it:
A. Trains models
B. Shapes outputs
C. Influences bias
D. All of the above
42. Personal data concerns relate to:
A. Consent
B. Storage
C. Use
D. All of the above
43. Large datasets raise privacy risks due to:
A. Re-identification
B. Data breaches
C. Surveillance
D. All of the above
44. Data governance aims to ensure:
A. Protection
B. Fair use
C. Accountability
D. All of the above
45. AI systems can infer sensitive information from:
A. Non-sensitive data
B. Behavioral patterns
C. Metadata
D. All of the above
46. Consent in AI data collection is challenged by:
A. Complexity
B. Scale
C. Opacity
D. All of the above
47. Anonymization techniques aim to:
A. Protect identity
B. Reduce risk
C. Enable data use
D. All of the above
48. Data ownership debates focus on:
A. Individuals
B. Platforms
C. Governments
D. All of the above
49. Surveillance capitalism concerns include:
A. Exploitation
B. Power imbalance
C. Loss of autonomy
D. All of the above
50. AI-driven profiling can affect:
A. Credit access
B. Employment
C. Policing
D. All of the above
51. Cross-border data flows affect:
A. Innovation
B. Regulation
C. Privacy standards
D. All of the above
52. Data minimization principles aim to:
A. Reduce risk
B. Limit collection
C. Protect users
D. All of the above
53. Children’s data requires special protection because of:
A. Vulnerability
B. Long-term impact
C. Consent limitations
D. All of the above
54. AI transparency in data use improves:
A. Trust
B. Accountability
C. User control
D. All of the above
55. Algorithmic profiling raises fairness concerns when:
A. Data is biased
B. Models are opaque
C. Oversight is absent
D. All of the above
56. Privacy-preserving AI techniques include:
A. Federated learning
B. Differential privacy
C. Secure computation
D. All of the above
57. Public attitudes toward data use depend on:
A. Trust in institutions
B. Perceived benefit
C. Transparency
D. All of the above
58. AI regulation increasingly includes:
A. Data protection rules
B. Impact assessments
C. User rights
D. All of the above
59. Misuse of data can lead to:
A. Harm
B. Discrimination
C. Loss of trust
D. All of the above
60. Ethical data practices are essential for:
A. Responsible AI
B. Public confidence
C. Long-term sustainability
D. All of the above
61. AI contributes to climate action by:
A. Modeling climate systems
B. Optimizing energy use
C. Supporting mitigation
D. All of the above
62. Environmental costs of AI include:
A. Energy consumption
B. Carbon emissions
C. Resource use
D. All of the above
63. Data centers impact the environment through:
A. Electricity demand
B. Water use
C. Heat output
D. All of the above
64. AI helps renewable energy by:
A. Forecasting supply
B. Managing grids
C. Improving efficiency
D. All of the above
65. Sustainable AI design focuses on:
A. Efficiency
B. Responsible scaling
C. Environmental impact
D. All of the above
66. AI can improve agriculture by:
A. Precision farming
B. Yield prediction
C. Resource management
D. All of the above
67. Climate modeling with AI improves:
A. Accuracy
B. Speed
C. Scenario analysis
D. All of the above
68. Environmental justice concerns arise when:
A. Costs are unequal
B. Benefits are concentrated
C. Communities lack voice
D. All of the above
69. Green AI initiatives aim to:
A. Reduce energy use
B. Optimize models
C. Lower emissions
D. All of the above
70. AI-assisted urban planning supports:
A. Sustainable transport
B. Energy efficiency
C. Climate resilience
D. All of the above
71. Environmental data challenges include:
A. Gaps
B. Quality issues
C. Accessibility
D. All of the above
72. AI can support biodiversity through:
A. Species monitoring
B. Habitat mapping
C. Conservation planning
D. All of the above
73. AI-driven climate tools require:
A. Reliable data
B. Long-term funding
C. Policy integration
D. All of the above
74. Environmental impact assessments of AI focus on:
A. Energy use
B. Lifecycle emissions
C. Resource extraction
D. All of the above
75. Sustainable AI adoption depends on:
A. Policy incentives
B. Industry commitment
C. Public awareness
D. All of the above
76. AI risks increasing global inequality by:
A. Concentrating power
B. Limiting access
C. Favoring wealthy nations
D. All of the above
77. Developing countries face AI challenges related to:
A. Infrastructure
B. Skills
C. Investment
D. All of the above
78. Digital divides affect AI outcomes by:
A. Limiting participation
B. Skewing benefits
C. Reinforcing inequality
D. All of the above
79. Inclusive AI strategies emphasize:
A. Capacity building
B. Local context
C. Fair access
D. All of the above
80. Language gaps in AI systems affect:
A. Cultural representation
B. Access to tools
C. Information equity
D. All of the above
81. Global AI datasets often underrepresent:
A. Minority languages
B. Global South contexts
C. Local knowledge
D. All of the above
82. AI development can benefit low-income regions through:
A. Health applications
B. Education tools
C. Agricultural support
D. All of the above
83. Unequal AI access may affect:
A. Economic growth
B. Social mobility
C. Political participation
D. All of the above
84. Capacity-building initiatives focus on:
A. Training
B. Infrastructure
C. Policy support
D. All of the above
85. Ethical AI frameworks should include:
A. Global perspectives
B. Cultural diversity
C. Equity considerations
D. All of the above
86. AI localization improves:
A. Relevance
B. Trust
C. Adoption
D. All of the above
86. International organizations support AI equity through:
A. Funding
B. Standards
C. Knowledge sharing
D. All of the above
87. Without inclusion, AI may reinforce:
A. Historical inequalities
B. Power imbalances
C. Economic gaps
D. All of the above
88. Global AI governance must address:
A. Access
B. Representation
C. Benefit sharing
D. All of the above
89. The long-term social impact of AI inequality could include:
A. Economic divergence
B. Political instability
C. Social tension
D. All of the above
90. Family hope was sustained through:
A. Shared beliefs
B. Collective resilience
C. Future aspirations
D. All of the above
91. Faith or belief systems helped people cope by:
A. Providing comfort
B. Offering meaning
C. Encouraging patience
D. All of the above
92. Religious practices were affected by:
A. Safety concerns
B. Access to places of worship
C. Displacement
D. All of the above
93. Group prayer or reflection supported:
A. Emotional relief
B. Social connection
C. Collective hope
D. All of the above
94. Spiritual leaders played roles in:
A. Emotional guidance
B. Community cohesion
C. Moral support
D. All of the above
95. Moments of silence or remembrance helped with:
A. Grieving
B. Emotional processing
C. Community solidarity
D. All of the above
96. Coping with fear involved:
A. Faith
B. Routine
C. Social support
D. All of the above
97. Loss of religious spaces affected:
A. Community gathering
B. Emotional wellbeing
C. Cultural continuity
D. All of the above
98. Personal beliefs influenced decisions about:
A. Endurance
B. Hope
C. Daily conduct
D. All of the above
99. Rituals helped people by:
A. Marking time
B. Processing loss
C. Preserving identity
D. All of the above
100. Emotional exhaustion was addressed through:
A. Prayer or reflection
B. Family presence
C. Quiet moments
D. All of the above
101. Hope was expressed through:
A. Faith
B. Children’s futures
C. Community strength
D. All of the above
102. Belief systems provided a sense of:
A. Purpose
B. Stability
C. Endurance
D. All of the above
103. Collective mourning practices strengthened:
A. Social bonds
B. Shared healing
C. Community identity
D. All of the above
104. Faith-based aid initiatives supported:
A. Food distribution
B. Shelter assistance
C. Emotional care
D. All of the above
105. Maintaining belief practices was challenged by:
A. Displacement
B. Fear
C. Resource scarcity
D. All of the above
106. Civilians described their immediate future concerns as:
A. Safety
B. Shelter
C. Access to basic needs
D. All of the above
107. Long-term hopes focused on:
A. Stability
B. Education
C. Economic opportunity
D. All of the above
108. Youth aspirations were shaped by:
A. Current hardship
B. Family encouragement
C. Desire for normal life
D. All of the above
109. Rebuilding priorities identified by civilians included:
A. Homes
B. Schools
C. Health facilities
D. All of the above
110. Trust in future recovery depended on:
A. Security
B. International support
C. Local resilience
D. All of the above
111. Civilians wanted the world to understand:
A. Daily suffering
B. Human dignity
C. Civilian resilience
D. All of the above
112. Feelings about the future included:
A. Fear
B. Cautious hope
C. Determination
D. All of the above
113. Community discussions about the future focused on:
A. Rebuilding
B. Peace
C. Opportunities for youth
D. All of the above
114. Return to normal life was associated with:
A. Safety
B. Education reopening
C. Economic activity
D. All of the above
115. Expectations from leadership centered on:
A. Protection
B. Accountability
C. Service restoration
D. All of the above
116. Education was viewed as key to:
A. Recovery
B. Stability
C. Future prospects
D. All of the above
117. Women’s voices emphasized needs for:
A. Safety
B. Healthcare
C. Participation in recovery
D. All of the above
118. Youth expressed desire for:
A. Learning opportunities
B. Freedom of movement
C. Peaceful future
D. All of the above
119. Civilian priorities after the war included:
A. Healing
B. Rebuilding trust
C. Economic recovery
D. All of the above
120. Memories of the war were important for:
A. Justice
B. Awareness
C. Preventing repetition
D. All of the above
121. Civilians hoped international actors would:
A. Listen
B. Protect civilians
C. Support reconstruction
D. All of the above
122. Community resilience narratives highlighted:
A. Solidarity
B. Adaptability
C. Mutual aid
D. All of the above
123. Emotional recovery was expected to require:
A. Time
B. Support systems
C. Stability
D. All of the above
124. Civilians defined dignity as:
A. Safety
B. Access to basic needs
C. Ability to live normally
D. All of the above
125. The most common message from civilians was:
A. “We want safety”
B. “We want dignity”
C. “We want a future”
D. All of the above
126. Which trend informs public participation in policy-making?
a) Digital tools
b) Deliberative forums
c) Transparency measures
d) Civic education
127. Which issue shapes climate-aligned corporate accountability?
a) Disclosure
b) Governance
c) Legal liability
d) Verification
128. Which concern shapes cross-border digital rights enforcement?
a) Courts
b) Regulators
c) Platform compliance
d) Civil society
129. Which factor shapes global food system resilience?
a) Diversification
b) Storage capacity
c) Trade coordination
d) Local production
130. Which trend informs international disaster response reform?
a) Pre-agreements
b) Logistics coordination
c) Financing mechanisms
d) Accountability
131. Which issue shapes trust in public health messaging?
a) Consistency
b) Transparency
c) Credibility
d) Cultural relevance
132. Which concern shapes climate adaptation finance absorption?
a) Project readiness
b) Institutional capacity
c) Co-financing
d) Monitoring
133. Which factor shapes digital public infrastructure sustainability?
a) Funding models
b) Governance
c) Adoption
d) Maintenance
134. Which trend informs global labor mobility governance?
a) Skills recognition
b) Rights protection
c) Demographic needs
d) Political acceptance
135. Which issue shapes humanitarian innovation ethics?
a) Consent
b) Equity
c) Data protection
d) Accountability
136. Which concern shapes public confidence in climate policy?
a) Fairness
b) Cost distribution
c) Communication
d) Results
137. Which factor shapes international research collaboration funding?
a) Priority alignment
b) Burden sharing
c) Evaluation
d) Governance
138. Which trend informs digital platform safety standards?
a) Risk assessment
b) User reporting
c) Enforcement
d) Transparency
139. Which issue shapes climate-resilient water systems?
a) Infrastructure investment
b) Demand management
c) Governance
d) Financing
140. Which concern shapes humanitarian data interoperability?
a) Standards
b) Governance
c) Privacy
d) Adoption
141. Which factor shapes global education reform momentum?
a) Learning outcomes
b) Digital access
c) Teacher capacity
d) Financing
142. Which trend informs future energy security strategies?
a) Diversification
b) Storage
c) Interconnection
d) Efficiency
143. Which issue shapes public trust in fiscal reforms?
a) Transparency
b) Fairness
c) Communication
d) Impact
144. Which concern shapes cross-border infrastructure dispute resolution?
a) Arbitration
b) Contract clarity
c) Political risk
d) Enforcement
145. Which factor shapes humanitarian coordination effectiveness?
a) Leadership
b) Information systems
c) Funding alignment
d) Role clarity
146. AI is used in journalism primarily to:
A. Analyze data
B. Automate routine tasks
C. Support reporting
D. All of the above
147. Newsrooms use AI to assist with:
A. Transcription
B. Translation
C. Summarization
D. All of the above
148. AI-generated news raises concerns about:
A. Accuracy
B. Credibility
C. Accountability
D. All of the above
149. Journalists worry AI could:
A. Reduce jobs
B. Lower standards
C. Spread misinformation
D. All of the above
150. AI-assisted reporting can improve:
A. Speed
B. Scale
C. Data analysis
D. All of the above
151. Editorial oversight is necessary when using AI to:
A. Ensure accuracy
B. Maintain ethics
C. Prevent harm
D. All of the above
152. AI in investigative journalism helps with:
A. Pattern detection
B. Large dataset analysis
C. Hidden connections
D. All of the above
153. Transparency about AI use in news builds:
A. Trust
B. Credibility
C. Accountability
D. All of the above
154. AI-generated headlines risk:
A. Sensationalism
B. Oversimplification
C. Bias
D. All of the above
155. Journalistic integrity with AI depends on:
A. Human judgment
B. Editorial standards
C. Ethical guidelines
D. All of the above
156. AI fact-checking tools support journalists by:
A. Verifying claims
B. Flagging inconsistencies
C. Saving time
D. All of the above
157. AI can unintentionally reinforce media bias if:
A. Training data is skewed
B. Oversight is weak
C. Models are opaque
D. All of the above
158. News personalization algorithms affect:
A. Audience reach
B. Content diversity
C. Information exposure
D. All of the above
159. AI-powered recommendation systems risk creating:
A. Echo chambers
B. Filter bubbles
C. Polarization
D. All of the above
160. Ethical journalism requires AI systems to be:
A. Transparent
B. Auditable
C. Accountable
D. All of the above
161. AI can help local journalism by:
A. Reducing costs
B. Automating routine content
C. Supporting data reporting
D. All of the above
162. Deepfake detection tools are important for:
A. Media verification
B. Public trust
C. Democratic stability
D. All of the above
163. Journalists using AI must understand:
A. Tool limitations
B. Bias risks
C. Ethical implications
D. All of the above
164. AI challenges traditional journalism values of:
A. Authorship
B. Attribution
C. Responsibility
D. All of the above
165. The future newsroom is likely to be:
A. Human-led
B. AI-assisted
C. Data-driven
D. All of the above
166. AI-generated misinformation spreads faster because of:
A. Automation
B. Scale
C. Low cost
D. All of the above
167. Deepfakes pose risks to democracy by:
A. Undermining trust
B. Manipulating voters
C. Distorting reality
D. All of the above
168. AI can be used to defend democracy through:
A. Fact-checking
B. Detection of fake content
C. Election monitoring
D. All of the above
169. Political campaigns use AI for:
A. Targeted messaging
B. Voter analysis
C. Strategy optimization
D. All of the above
170. Algorithmic amplification affects public debate by:
A. Prioritizing engagement
B. Rewarding extreme content
C. Shaping narratives
D. All of the above
171. AI regulation in elections focuses on:
A. Transparency
B. Disclosure
C. Content authenticity
D. All of the above
172. Democracies worry AI could:
A. Undermine free elections
B. Erode trust
C. Manipulate opinion
D. All of the above
173. Platform responsibility includes:
A. Content moderation
B. Algorithmic oversight
C. User protection
D. All of the above
174. AI-driven political advertising raises concerns about:
A. Manipulation
B. Privacy
C. Fairness
D. All of the above
175. Safeguarding democracy against AI misuse requires:
A. Regulation
B. Media literacy
C. Technology safeguards
D. All of the above
176. AI-powered bots can influence discourse by:
A. Simulating humans
B. Amplifying messages
C. Distorting trends
D. All of the above
177. Public trust in elections depends on:
A. Transparency
B. Information integrity
C. Institutional credibility
D. All of the above
178. AI content labeling aims to:
A. Inform users
B. Prevent deception
C. Improve accountability
D. All of the above
179. Authoritarian misuse of AI often involves:
A. Surveillance
B. Censorship
C. Propaganda
D. All of the above
180. Democratic oversight of AI requires:
A. Independent institutions
B. Legal frameworks
C. Public scrutiny
D. All of the above
181. Civic education must adapt to AI by teaching:
A. Critical thinking
B. Media literacy
C. Digital awareness
D. All of the above
182. AI-driven misinformation campaigns exploit:
A. Emotional triggers
B. Speed
C. Platform algorithms
D. All of the above
183. Election integrity tools increasingly rely on:
A. AI monitoring
B. Pattern detection
C. Real-time analysis
D. All of the above
184. Democratic resilience to AI threats depends on:
A. Trust
B. Institutions
C. Informed citizens
D. All of the above
185. The biggest democratic risk of AI is:
A. Automation
B. Scale of misuse
C. Loss of shared reality
D. All of the above
186. AI in education supports:
A. Personalized learning
B. Adaptive content
C. Student feedback
D. All of the above
187. Teachers use AI mainly to:
A. Reduce workload
B. Track progress
C. Enhance instruction
D. All of the above
188. AI tutoring systems raise questions about:
A. Equity
B. Access
C. Pedagogical quality
D. All of the above
189. Students use AI tools for:
A. Research
B. Writing assistance
C. Study support
D. All of the above
190. Academic integrity concerns arise from:
A. AI-generated essays
B. Plagiarism risks
C. Assessment validity
D. All of the above
191. Education systems adapt to AI by:
A. Updating curricula
B. Teaching AI literacy
C. Emphasizing critical thinking
D. All of the above
192. AI assessment tools risk bias if:
A. Data is skewed
B. Context is ignored
C. Oversight is weak
D. All of the above
193. Personalized learning systems depend on:
A. Student data
B. Adaptive algorithms
C. Teacher oversight
D. All of the above
194. AI may widen education inequality if:
A. Access is unequal
B. Tools are expensive
C. Infrastructure is limited
D. All of the above
195. Ethical AI in education requires:
A. Transparency
B. Student consent
C. Human control
D. All of the above
196. Lifelong learning becomes more important because AI:
A. Changes jobs
B. Speeds innovation
C. Alters skill needs
D. All of the above
197. AI literacy includes understanding:
A. Capabilities
B. Limits
C. Risks
D. All of the above
198. AI feedback systems can improve learning by:
A. Identifying gaps
B. Offering guidance
C. Supporting motivation
D. All of the above
199. Teachers’ roles in AI-assisted classrooms become more:
A. Facilitative
B. Mentorship-based
C. Human-centered
D. All of the above
200. Education policy must address AI by:
A. Setting standards
B. Protecting students
C. Supporting teachers
D. All of the above
