D685 Practical Applications of Prompt - Set 3 - Part 1

Test your knowledge of technical writing concepts with these practice questions. Each question includes detailed explanations to help you understand the correct answers.

Question 1: A government agency needs AI to process citizen requests while ensuring equal service access regardless of technological literacy levels. Which ethical principle should guide this implementation?

Question 2: Your AI writing assistant generates different tones when creating business emails versus casual messages. Which prompt component enables this adaptive behavior?

Question 3: A pharmaceutical company discovers their drug discovery AI performs exceptionally on common diseases but poorly on rare conditions. This limitation exemplifies which issue?

Question 4: When implementing AI for disaster response coordination, which capability would be most critical for effective emergency management?

Question 5: Your team needs AI to validate research findings by checking multiple sources for consistency. Which advanced technique best supports this verification process?

Question 6: A travel company wants their AI to understand cultural nuances when providing destination recommendations. Which prompt component would best incorporate this cultural awareness?

Question 7: When training an AI model to recognize fraudulent insurance claims, having examples of both legitimate and fraudulent claims represents which approach?

Question 8: Your organization's AI chatbot starts asking users unnecessary clarifying questions, disrupting conversation flow. Which technique might be overcorrecting?

Question 9: A bank implements AI for mortgage approval but ensures human reviewers make final decisions on borderline cases. This practice demonstrates which principle?

Question 10: When developing AI for mental health support apps, which consideration should take absolute precedence to protect vulnerable users?

Question 11: Your AI model needs to gradually build complex coding solutions starting from basic syntax. Which prompting technique best enables this progression?

Question 12: A manufacturing company's quality control AI consistently misses defects in products made during night shifts. This pattern suggests which type of bias?

Question 13: Your content moderation AI needs to distinguish between educational discussions about harmful topics and actual harmful content. Which capability is essential?

Question 14: A library system wants AI to recommend books while respecting diverse reading preferences and cultural backgrounds. Which mitigation strategy best addresses this need?

Question 15: When an AI model generates marketing copy that needs to maintain brand voice across different campaigns, which prompt component is most critical?

Question 16: Your team implements AI for scientific research that must acknowledge when evidence is insufficient for conclusions. This requirement emphasizes which principle?

Question 17: A telecommunications company needs AI to route customer calls based on urgency and technical complexity. This application requires which capability?

Question 18: Your AI system trained on urban healthcare data performs poorly in rural medical facilities. This performance gap indicates which type of bias?

Question 19: When developing AI for autonomous vehicles, which ethical consideration must take absolute priority in all decision-making algorithms?

Question 20: A consulting firm needs their AI to explore various strategic options before recommending solutions. Which advanced technique enables this exploratory analysis?


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