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USAII CAIC Exam Overview:

Certification Vendor:USAII (United States Artificial Intelligence Institute)
Exam Name:Certified Artificial Intelligence Consultant
Exam Number:CAIC
Real Exam Qty:70
Exam Format:Multiple-choice, Computer-based, Single or multiple correct answers
Passing Score:70%
Related Certifications:CAIE™ (Certified Artificial Intelligence Engineer)
CAIS™ (Certified Artificial Intelligence Specialist)
Certificate Validity Period:3 years
Available Languages:English
Exam Price:US $894
Exam Duration:100 minutes
Recommended Training:Official CAIC Learning Material
Exam Registration:USAII Official Registration
Sample Questions:USAII CAIC Sample Questions
Exam Way:Online remote proctored or onsite computer-based exam
Pre Condition:4 eligibility paths: 1) Associate/Diploma + 6 years programming experience; 2) Bachelor's + 2 years relevant experience; 3) Master's (current/completed) + basic proficiency preferred; 4) CAIE certification + 1–4 years experience (depending on degree)
Official Syllabus URL:https://www.usaii.org/artificial-intelligence-certifications/certified-artificial-intelligence-consultant

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USAII CAIC 시험요강:

주제소개
주제 1
  • NLP for Business: Transforming Data into Decisions: Covers natural language processing tools and techniques used to extract meaning from text and speech data for business decision-making.
주제 2
  • Solution Architecture: From Concept to Implementation: Guides the design and deployment of end-to-end AI solutions, from problem framing and model selection to integration and scaling.
주제 3
  • Responsible AI: Ethics, Fairness, and Regulation: Addresses ethical principles, bias mitigation, transparency, and compliance frameworks governing the responsible deployment of AI systems.
주제 4
  • ML for Transforming Operations and Strategy: Explores how machine learning techniques can be applied to optimize business operations, automate processes, and drive competitive strategy.
주제 5
  • AI Essentials for Business Leaders: Covers foundational AI and ML concepts, terminology, and frameworks that business leaders need to make informed strategic decisions.

최신 Artificial Intelligence Consultant CAIC 무료샘플문제 (Q71-Q76):

질문 # 71
Which of the following is NOT a CORRECT element of the Planning and execution phase in the risk framework?

정답:A

설명:
The correct answer is D. Ethics because ethics is not best treated as a single operational element of the planning and execution phase. In an AI risk framework, the planning and execution phase usually focuses on practical implementation activities such as defining the AI use case, aligning the solution with strategy, assessing financial feasibility, designing the product or solution, and preparing it for release. These activities help convert an AI concept into a working business or technical solution.
Conceptualization of the AI use case is correct because every AI initiative must begin with a clearly defined problem, objective, and intended business value. Strategy is also correct because the AI solution must align with organizational goals and risk appetite. Finance is relevant because organizations must consider cost, investment, expected return, and resource allocation. Design and release of the final product or solution is also part of execution.
Ethics is important across the entire AI lifecycle, but it is not the specific planning and execution element listed here. Therefore, the best answer is D. Ethics .


질문 # 72
Select the MOST CORRECT statement for Few-shot learning.

정답:B

설명:
The correct answer is E. b and c only because few-shot learning means a model learns or adapts to a new task using only a small number of examples. In generative AI and large language model usage, few-shot prompting often provides a few demonstrations so the model can understand the expected pattern, format, classification logic, or response style. Option B is correct because few-shot learning uses a limited number of examples rather than a large training dataset.
Option C is also correct because few-shot learning depends on the model's prior knowledge learned during pretraining. The model uses that existing knowledge to generalize from the small set of examples and apply the same logic to new inputs. Option A is not the best statement because "a large number of examples" does not match the idea of few-shot learning. Therefore, the most correct answer is E. b and c only .


질문 # 73
What is the main advantage of using deep learning over traditional machine learning?

정답:E


질문 # 74
Choose the CORRECT example of Supervised Learning.

정답:A

설명:
The correct answer is B. House price prediction . Supervised learning is a machine learning approach where a model is trained using labeled data. In a house price prediction problem, the training data usually contains property features such as size, location, number of rooms, age of the house, and past selling prices. The known selling price acts as the label or target value. The model learns the relationship between the input features and the price, then predicts prices for new houses.
A driverless car is not the best single example because autonomous driving uses a combination of AI techniques, including supervised learning, reinforcement learning, computer vision, sensor fusion, planning, and control systems. ChatGPT is a generative AI language model and is not typically used as the basic example of supervised learning in this context. Since house price prediction directly represents supervised learning with labeled input-output data, the correct answer is B .


질문 # 75
Which of the following is an example of AGI?

정답:B

설명:
The correct answer is E. None of the above because Artificial General Intelligence, or AGI, refers to an AI system that can understand, learn, reason, adapt, and perform intellectual tasks across many domains at a human-like level. AGI is different from narrow AI, which is designed to perform specific tasks within limited boundaries.
Google's search engine is not AGI because it is built to retrieve, rank, and organize information based on search queries. Amazon's recommendation engine is also not AGI because it is designed for a specific purpose: recommending products based on user behavior, preferences, and patterns. ChatGPT is a powerful generative AI and language model, but it is still not AGI because it does not possess true general intelligence, consciousness, self-awareness, or independent human-like reasoning across all domains.
Since none of the listed systems qualifies as Artificial General Intelligence, the correct answer is E. None of the above .


질문 # 76
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