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| Certification Vendor: | USAII |
|---|---|
| Exam Name: | Certified Artificial Intelligence Consultant |
| Exam Number: | CAIC |
| Certificate Validity Period: | Lifetime |
| Passing Score: | 70% |
| Exam Price: | USD 894 |
| Related Certifications: | CAIC™ |
| Real Exam Qty: | 35 |
| Available Languages: | English |
| Exam Format: | Multiple Response, Multiple Choice |
| Exam Duration: | 100 minutes |
| 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 |
USAII CAIC인증시험덤프는 적중율이 높아 100% USAII CAICUSAII CAIC시험에서 패스할수 있게 만들어져 있습니다. 덤프는 IT전문가들이 최신 실러버스에 따라 몇년간의 노하우와 경험을 충분히 활용하여 연구제작해낸 시험대비자료입니다. 저희 USAII CAIC덤프는 모든 시험유형을 포함하고 있는 퍼펙트한 자료기에 한방에 시험패스 가능합니다.
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질문 # 66
Artificial narrow intelligence ANI is also commonly expressed as ____.
정답：D
설명：
The correct answer is A. Weak AI . Artificial Narrow Intelligence, or ANI, is commonly called Weak AI because it is designed to perform a specific task or a limited set of tasks within a defined domain. Examples include recommendation engines, search engines, spam filters, facial recognition systems, voice assistants, fraud detection tools, and chatbots. These systems can perform their assigned functions effectively, but they do not possess general intelligence, consciousness, self-awareness, or human-like understanding across all domains.
Strong AI and General AI refer to Artificial General Intelligence, which would be capable of broad reasoning, learning, and problem-solving across many tasks like a human. SuperAI refers to a theoretical level of intelligence beyond human capability. ExpertAI is not the standard expression for ANI. Since ANI is task- specific and limited in scope, it is correctly expressed as Weak AI .
질문 # 67
Which of the following is NOT a learning category for the ML model?
정답：C
설명：
The correct answer is D. Semi Reinforcement learning because it is not commonly recognized as a standard learning category for machine learning models. The major machine learning categories include supervised learning, unsupervised learning, reinforcement learning, and semi-supervised learning. Supervised learning uses labeled datasets where the model learns from known input-output examples. Unsupervised learning uses unlabeled data to discover patterns, clusters, or hidden structures. Reinforcement learning trains an agent through interaction with an environment using rewards and penalties. Semi-supervised learning combines a small amount of labeled data with a larger amount of unlabeled data to improve learning when fully labeled datasets are limited.
"Semi Reinforcement learning" is not normally listed as a core ML learning category in standard AI and machine learning learning paths. Therefore, among the given options, the one that is NOT a learning category for the ML model is D. Semi Reinforcement learning .
질문 # 68
Which of the following is a CORRECT NLP task?
정답：E
설명：
The correct answer is E. a, b and c only because tokenization, Part-of-Speech tagging, and Question Answering are all valid natural language processing tasks. NLP focuses on enabling machines to process, analyze, understand, and generate human language for business and technical applications.
Tokenization is a basic NLP task where text is divided into smaller units such as words, subwords, or tokens.
This step helps models process language in a structured way. Part-of-Speech tagging is also an NLP task because it identifies the grammatical role of words, such as nouns, verbs, adjectives, and adverbs. This helps systems understand sentence structure and meaning. Question Answering is another important NLP task where a system interprets a user's question and generates or retrieves the most relevant answer from data, documents, or knowledge sources.
Since all three options represent correct NLP tasks, the best answer is E. a, b and c only .
질문 # 69
Choose the CORRECT reasons. We want to study AI to automate things, because
정답：C
설명：
The correct answer is E. All of the above because each statement gives a valid reason for studying and using AI to automate tasks. Modern organizations deal with massive volumes of data that are too large and complex for humans to process manually. AI helps analyze this data quickly, detect patterns, and support better decisions.
Statement B is also correct because data now comes from many sources at the same time, including sensors, applications, customers, transactions, machines, documents, and digital platforms. This data is often unstructured, noisy, and difficult to manage without intelligent automation. Statement C is correct because business knowledge must be updated continuously as data changes. AI systems can learn from new patterns and support faster adaptation. Statement D is also correct because many AI applications, such as robotics, autonomous systems, fraud detection, and industrial automation, require real-time sensing, decision-making, and precise action.
Since all four reasons support the need for AI-driven automation, the correct answer is E. All of the above .
질문 # 70
Which of the following is the CORRECT basic brain components?
정답：C
설명：
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 .
질문 # 71
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