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| Certification Vendor: | USAII (United States Artificial Intelligence Institute) |
|---|---|
| Exam Name: | Certified Artificial Intelligence Consultant |
| Exam Number: | CAIC |
| Exam Duration: | 100 minutes |
| Exam Format: | Computer-based, Single or multiple correct answers, Multiple-choice |
| Exam Price: | US $894 |
| Related Certifications: | CAISโข (Certified Artificial Intelligence Specialist) CAIEโข (Certified Artificial Intelligence Engineer) |
| Certificate Validity Period: | 3 years |
| Real Exam Qty: | 70 |
| Passing Score: | 70% |
| Available Languages: | English |
| 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 + 1โ4 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 # 35
Choose the CORRECT benefit of solution architecture.
Answer: A
Explanation:
Solution architecture provides the structured blueprint needed to move from a business or technical concept to a working implementation. It defines how different systems, applications, data flows, technologies, security requirements, and business needs will fit together. Therefore, it gives teams a solid foundation for developing enterprise software solutions.
A well-defined solution architecture is also valuable when projects become large, complex, or distributed across multiple teams and locations. It creates a common understanding of design decisions, integration points, responsibilities, and technical standards, which supports collaboration and long-term sustainability. In addition, solution architecture helps ensure that the final solution meets business expectations, technical requirements, quality standards, scalability needs, security controls, and operational goals.
Since options A, B, and C all describe valid benefits of solution architecture, the most complete and correct answer is E. All of the above .
NEW QUESTION # 36
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 # 37
Deep Learning is a subset of ____.
Answer: E
Explanation:
The correct answer is A. Machine Learning . Deep learning is a specialized subset of machine learning that uses artificial neural networks with multiple layers to learn patterns from data. These layered neural networks can automatically discover features and representations from large datasets, which makes deep learning especially useful for image recognition, speech recognition, natural language processing, recommendation systems, and generative AI applications.
Artificial intelligence is the broader field that includes machine learning, expert systems, reasoning systems, robotics, natural language processing, and other intelligent technologies. Machine learning is a branch within artificial intelligence, and deep learning is a further subset within machine learning. Artificial Narrow Intelligence refers to AI systems designed for specific tasks, while Artificial General Intelligence refers to a theoretical system with broad human-like intelligence. Since deep learning is most directly and correctly classified as a subset of machine learning, the best answer is A .
NEW QUESTION # 38
Which of the following is the CORRECT basic brain components?
Answer: A
Explanation:
The correct answer is E. All of the above because the listed terms are associated with major functional or structural areas of the human brain often discussed when explaining cognition, intelligence, decision-making, emotions, perception, and behavior. The neocortex is linked with higher-order thinking, reasoning, language, planning, perception, and conscious decision-making. The limbic system is strongly associated with emotion, memory, motivation, and behavioral responses. The midbrain is involved in sensory processing, movement control, visual and auditory responses, and alertness. The brainstem supports essential automatic functions such as breathing, heart rate, sleep-wake regulation, and basic survival processes.
In artificial intelligence learning, these brain components are often introduced to help explain how human intelligence works and how AI attempts to model certain cognitive functions. Since neocortex, limbic, midbrain, and brainstem are all valid basic brain-related components, the best answer is E. All of the above .
NEW QUESTION # 39
Which of the following is a regulatory requirement?
Answer: C
Explanation:
The correct answer is E. a, b and c only because HIPAA, GDPR, and CCPA are all regulatory requirements that organizations may need to follow when collecting, processing, storing, sharing, or protecting data. In AI and data-driven business environments, regulatory compliance is important because AI systems often depend on large volumes of personal, sensitive, customer, health, or behavioral data.
HIPAA is a United States healthcare regulation that protects sensitive patient health information. GDPR is a European Union data protection regulation that governs personal data processing, privacy rights, consent, data minimization, and accountability. CCPA is a California privacy law that gives consumers rights related to personal information, including access, deletion, and opt-out rights. These regulations affect how organizations design AI systems, manage data governance, ensure privacy, reduce risk, and maintain responsible AI practices.
Since all three listed items are valid regulatory requirements, the correct answer is E. a, b and c only .
NEW QUESTION # 40
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