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| Certification Vendor: | USAII |
|---|---|
| Exam Name: | Certified Artificial Intelligence Consultant |
| Exam Number: | CAIC |
| Certificate Validity Period: | Lifetime |
| Available Languages: | English |
| Exam Duration: | 100 minutes |
| Exam Price: | USD 894 |
| Related Certifications: | CAIC™ |
| Real Exam Qty: | 35 |
| Exam Format: | Multiple Choice, Multiple Response |
| Passing Score: | 70% |
| 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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NEW QUESTION # 63
Select the most CORRECT risk-scoring methodology function statement for prospective risk.
Answer: B
Explanation:
The correct answer is C because prospective risk is forward-looking. It focuses on estimating future model risk by using the most current risk condition, present indicators, and existing risk posture of the model. In AI governance and model risk management, prospective risk assessment helps organizations anticipate possible future issues such as performance degradation, bias, drift, compliance exposure, operational failure, or business impact before those risks become actual problems.
Option A is not the most correct because analyzing historical model performance is more closely linked with retrospective risk assessment. Historical performance can support risk analysis, but it does not fully define prospective risk. Option B is not accurate because "upcoming model performance" is not directly available for analysis; future performance must be predicted, not already analyzed. Option E is incorrect because A and B are not both accurate statements. Therefore, the most correct statement is C. Prospective risk leverages the most current risk of the model to predict the overall model risk for future cycles .
NEW QUESTION # 64
Which of the following is a CORRECT statement for the Data and AI Analytics Business Model Maturity Index?
Answer: C
Explanation:
The correct answer is D. a and b only because the Data and AI Analytics Business Model Maturity Index is mainly used to guide and assess how effectively an organization uses data, analytics, and AI to improve business and operational models. Option A is correct because a maturity index provides a roadmap that helps organizations understand where they are currently and what capabilities they need to develop next. This supports better use of analytics, data-driven decision-making, and AI-enabled transformation.
Option B is also correct because a maturity index works as a benchmark. Organizations can compare their current maturity level against defined stages, measure progress, identify gaps, and evaluate improvement in analytics capabilities over time.
Option C is not the best statement because "focus on ROI and team" is too narrow and incomplete. ROI and team capability may be considered in analytics planning, but they do not fully define the purpose of the maturity index. Therefore, the best answer is D. a and b only .
NEW QUESTION # 65
Which of the following statement is CORRECT for RNN?
Answer: A
Explanation:
The correct answer is E. a, b and c only because all three statements correctly describe Recurrent Neural Networks and their limitation. RNNs are neural network models designed for sequential data such as text, speech, time-series data, and ordered events. They process information step by step and use previous hidden states to influence later outputs.
Statement A is correct because a major drawback of traditional RNNs is their difficulty in remembering information over many time steps. This happens mainly because of vanishing gradient problems during training. Statement B is also correct because standard RNNs generally struggle with long-term dependencies, meaning they may fail to retain important information from earlier parts of a sequence. Statement C is correct because Long Short-Term Memory networks are a specialized extension of RNNs designed to handle long- term memory more effectively using gates that control what information is stored, forgotten, and passed forward.
Therefore, the best answer is E. a, b and c only .
NEW QUESTION # 66
Choose the CORRECT reasons. We want to study AI to automate things, because
Answer: C
Explanation:
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 .
NEW QUESTION # 67
If humans are labeling the data and the machine is correctly labeling current or future data points, it's ______.
Answer: B
Explanation:
The correct answer is A. supervised learning because supervised learning uses labeled data to train a machine learning model. In this method, humans or existing systems provide correct labels for the training examples, and the model learns the relationship between input data and the expected output labels. After training, the machine can apply what it has learned to correctly classify or label current and future data points.
Unsupervised learning is incorrect because it works with unlabeled data and discovers hidden patterns, groups, or structures without human-provided labels. Reinforcement learning is also incorrect because it is based on actions, rewards, penalties, and learning through interaction with an environment. Semi-supervised learning uses a combination of a small amount of labeled data and a larger amount of unlabeled data, but the question clearly states that humans are labeling the data. "Semi Reinforcement learning" is not the standard answer here. Therefore, the correct choice is A. supervised learning .
NEW QUESTION # 68
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