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| Certification Vendor: | USAII |
|---|---|
| Exam Name: | Certified Artificial Intelligence Consultant |
| Exam Number: | CAIC |
| Exam Price: | USD 894 |
| Related Certifications: | CAIC™ |
| Certificate Validity Period: | Lifetime |
| Exam Duration: | 100 minutes |
| Exam Format: | Multiple Response, Multiple Choice |
| Passing Score: | 70% |
| Real Exam Qty: | 35 |
| Available Languages: | English |
| Sample Questions: | USAII CAIC Sample Questions |
| Exam Way: | Online |
| Pre Condition: | Programming skills are not mandatory to apply for CAIC™ certification. |
| Official Syllabus URL: | https://www.usaii.org/artificial-intelligence-certifications/caic |
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33. Frage
Why is prompt important?
Antwort: A
Begründung:
The correct answer is E. a, b and c only because all three statements explain why prompt design is important when working with generative AI and language models. A prompt is the instruction, question, or context given to an AI system to guide its response. When the prompt is clear, specific, and well-structured, the model is more likely to produce useful, relevant, and accurate output. This supports statement A because well- defined prompts help create a successful and productive conversation.
Statement B is also correct because poorly-defined prompts can make the conversation less useful. If the prompt is vague, incomplete, or confusing, the model may produce broad, irrelevant, or low-quality responses. Statement C is correct because unclear prompts can also lead to misleading content, especially when the model fills in missing details or interprets the request incorrectly. Therefore, prompt quality directly affects response quality, usefulness, and reliability, making E the best answer.
34. Frage
Artificial general intelligence (AGI) is also commonly expressed as ____.
Antwort: E
Begründung:
Artificial General Intelligence, or AGI, is commonly referred to as Strong AI because it describes an AI system with human-like cognitive ability across many different tasks and domains. Unlike narrow or weak AI, which is designed to perform a specific task such as image recognition, language translation, recommendation, fraud detection, or chatbot response generation, AGI would be able to understand, learn, reason, adapt, and solve problems broadly in a way similar to human intelligence.
Weak AI is incorrect because it refers to task-specific AI systems that operate within limited boundaries.
General AI is related in meaning, but the commonly used expression for AGI in AI classification is Strong AI.
SuperAI is different because it refers to intelligence that would exceed human intelligence, while ExpertAI is not the standard term for AGI. Therefore, the correct answer is B. Strong AI .
35. Frage
Which of the following is a step for the Value Engineering Framework?
Antwort: E
36. Frage
A model is trained using historical customer records where each record already contains the correct outcome, such as "churn" or "not churn." The model then predicts whether future customers are likely to churn. This is an example of ______.
Antwort: B
Begründung:
Supervised learning is used when a machine learning model is trained on labeled data. In this case, the historical customer records already include the correct outcome labels, such as "churn" or "not churn." The model learns the relationship between customer attributes and the known outcome, then applies that learned relationship to predict outcomes for new customers. This is a classic classification problem. Unsupervised learning is incorrect because it works with unlabeled data and is commonly used for clustering or discovering hidden patterns. Reinforcement learning is incorrect because there is no reward-based decision-making environment described. Generative learning is not the best answer because the task is prediction, not creating new content. Therefore, the correct answer is A. supervised learning .
37. Frage
Which one of the following should NOT be used while designing the prompt?
Antwort: E
Begründung:
The correct answer is E. All of the above because effective prompt design requires clarity, focus, structure, and useful constraints. Information overload should not be used because giving too much unnecessary detail can confuse the model, weaken the main instruction, and reduce the quality of the response. A prompt should include relevant context, but it should avoid excessive or unrelated information.
Open-ended questions should also be avoided when the goal is a specific, controlled, or business-ready answer. Broad prompts often produce vague, incomplete, or inconsistent outputs. Instead, prompts should clearly state the desired task, format, scope, and expected outcome. Lack of constraints is also a poor prompt design practice because constraints guide the model on length, tone, structure, audience, output type, and boundaries. Without constraints, the model may generate responses that are too broad, too long, or misaligned with the user's intent.
Since information overload, overly open-ended questions, and lack of constraints can all weaken prompt quality, the correct answer is E. All of the above .
38. Frage
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