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| Certification Vendor: | USAII (United States Artificial Intelligence Institute) |
|---|---|
| Exam Name: | Certified Artificial Intelligence Consultant |
| Exam Number: | CAIC |
| Real Exam Qty: | 70 |
| Exam Format: | Single or multiple correct answers, Multiple-choice, Computer-based |
| Certificate Validity Period: | 3 years |
| Passing Score: | 70% |
| Exam Price: | US $894 |
| Related Certifications: | CAIE™ (Certified Artificial Intelligence Engineer) CAIS™ (Certified Artificial Intelligence Specialist) |
| Available Languages: | English |
| 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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NEW QUESTION # 37
Which of the following is an example of AGI?
Answer: B
Explanation:
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 .
NEW QUESTION # 38
Which of the following is a step for the Value Engineering Framework?
Answer: A
NEW QUESTION # 39
Select the most CORRECT statement.
Answer: B
Explanation:
The correct answer is D. a and c only because dimensionality reduction is the process of reducing the number of variables or features considered in a dataset while trying to preserve the most important information. This is especially useful when working with large datasets that contain many columns, attributes, or variables.
Reducing dimensionality can improve model performance, reduce computational cost, remove noise, and make data easier to visualize and analyze.
Statement A is correct because dimensionality reduction reduces the number of variables considered in the analysis. Statement C is also correct because Principal Component Analysis, or PCA, is one of the most common techniques used to reduce the dimensionality of large datasets. PCA transforms the original variables into a smaller set of principal components that capture most of the important variance in the data.
Statement B is not correct because dimensionality reduction is not about reducing "targetted variables." It focuses mainly on reducing input features or random variables. Therefore, the best answer is D. a and c only .
NEW QUESTION # 40
Artificial general intelligence (AGI) is also commonly expressed as ____.
Answer: A
Explanation:
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 .
NEW QUESTION # 41
Which of the following is NOT a CORRECT element of the Planning and execution phase in the risk framework?
Answer: B
Explanation:
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 .
NEW QUESTION # 42
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