GoShikenは１００％の合格率を保証するだけでなく、1年間の無料なオンラインのCAIC問題更新を提供しております。最新の資源と最新の動態が第一時間にお客様に知らせいたします。何の問題があったらお気軽に聞いてください。
| Section | Weight | Objectives |
|---|---|---|
| AI in Business & Consulting | 25% | - AI Project Management & Governance - Identifying AI Use Cases & Opportunities - Implementation Planning & Change Management - AI Strategy & Roadmap Development - Cost-Benefit Analysis & ROI Calculation |
| AI Fundamentals & Concepts | 15% | - AI vs Traditional Programming - AI Lifecycle and Workflow - Introduction to Artificial Intelligence
|
| AI Technologies & Tools | 15% | - Automation & RPA Integration - AI Applications: NLP, Computer Vision, Predictive Analytics - Frameworks: TensorFlow, PyTorch, Scikit-learn - Cloud AI Platforms (AWS, Azure, Google Cloud) |
| Data Preparation & Engineering | 15% | - Feature Engineering & Selection - Data Cleaning, Preprocessing & Transformation - Data Quality & Governance - Data Collection & Sources |
| Machine Learning & Algorithms | 20% | - Popular Algorithms
- Types of Machine Learning
|
| Ethics, Governance & Future Trends | 10% | - AI Ethics, Bias & Fairness - Data Privacy, Security & Compliance - Emerging Trends & Future of AI - Explainable AI & Transparency |
当社USAIIのCAIC学習ツールでは、選択できる3つのバージョンがあり、PDFバージョン、PCバージョン、APPオンラインバージョンが含まれます。各バージョンはさまざまな状況や機器に対応しており、最も便利な方法を選択してCAICテストトレントを学習できます。たとえば、APPオンラインバージョンは印刷可能で、ダウンロードへの即時アクセスを促進します。 CAICガイドトレントはいつでもどこでも学習できます。 CAIC学習ツールのPCバージョンは、実際の試験のシナリオを刺激できます。 365日間の無料アップデートと無料デモを提供しています。
質問 # 57
Which is the first useful computer program that came into existence in the AI world?
正解：D
解説：
The correct answer is B. GPS . In artificial intelligence history, GPS stands for General Problem Solver . It was an early AI program developed to simulate human problem-solving behavior. GPS was designed to solve problems by breaking them down into goals, subgoals, operators, and differences between the current state and the desired state. This approach became important because it introduced structured reasoning and symbolic problem solving, which were central ideas in early AI research.
LPS, MLS, AIS, and EPS are not the standard answer for the first useful computer program in the AI world in this context. GPS is widely recognized as one of the earliest useful AI programs because it attempted to model general reasoning rather than solving only one narrow calculation task. It showed how computers could be programmed to search through possible actions and work toward a goal. Therefore, the correct answer is B.
GPS .
質問 # 58
Which of the following is not a CORRECT common unsupervised learning model/algorithm?
正解：D
解説：
The correct answer is C. K-nearest neighbors KNNs because KNN is commonly used as a supervised learning algorithm, not an unsupervised learning algorithm. In supervised learning, the model uses labeled data to classify or predict outcomes for new data points. KNN works by comparing a new data point with nearby labeled examples and assigning a class or value based on those neighbors.
K-means clustering is a common unsupervised learning algorithm because it groups unlabeled data into clusters based on similarity. Principal Component Analysis PCA is also commonly associated with unsupervised learning because it reduces data dimensions by finding important patterns or directions of variance without requiring labeled outputs.
Since options A and B are valid unsupervised learning techniques, they are not the answer. The option that is not a correct common unsupervised learning model or algorithm is C. K-nearest neighbors KNNs .
質問 # 59
Choose the CORRECT option for conjoint analysis.
正解：A
解説：
The correct answer is E. All of the above because each statement accurately describes conjoint analysis and its business use. Conjoint analysis is a research technique used to understand how customers value different product or service attributes. It helps organizations evaluate trade-offs customers make between features, pricing, brand, quality, service levels, and other product characteristics.
Statement A is correct because conjoint analysis is commonly used in product and pricing research. Statement B is also correct because it identifies customer preferences and helps businesses decide which product features are most valuable to different customer segments. Statement C is correct because conjoint analysis can evaluate price sensitivity and estimate how changes in product features or pricing may affect demand and market share. Statement D is also correct because the method is widely used in product management, marketing strategy, advertising, product positioning, and go-to-market planning.
Since all listed statements are correct, the best answer is E. All of the above .
質問 # 60
Choose the CORRECT statement for GenAI.
正解：A
解説：
The correct answer is E. All of the above because all three statements describe the broader idea of general intelligence in AI systems. GenAI in this question is presented as intelligence that goes beyond narrow, task- specific AI and aims to support broader reasoning, learning, adaptation, and performance across multiple domains.
Statement A is correct because general AI focuses on systems that can demonstrate human-like cognitive abilities and perform different kinds of tasks rather than being limited to one predefined function. Statement B is also correct because architects working on such advanced AI systems must design solutions that go beyond specific use cases and support more general intelligence capabilities. Statement C is correct because general AI systems are expected to learn from limited data, transfer knowledge across domains, adapt to changing environments, and perform reliably in uncertain situations.
Since A, B, and C are all correct, the best answer is E. All of the above .
質問 # 61
Choose the CORRECT second step in the ML lifecycle?
正解：C
解説：
The correct answer is B. Data understanding . In the machine learning lifecycle, after the initial data acquisition or data collection stage, the next major activity is to understand the available data. Data understanding involves exploring the dataset, reviewing data sources, identifying variables, checking patterns, finding missing values, detecting outliers, and understanding whether the data is suitable for the business or operational problem being solved.
Data acquisition is usually an earlier step because the data must first be collected or accessed before it can be analyzed. Data preparation comes after data understanding because teams need to know the data's structure, quality, gaps, and relevance before cleaning, transforming, engineering features, or formatting it for model training. Options D and E are not correct because the question asks for the single second step, not a combination of lifecycle activities. Therefore, the correct second step in the ML lifecycle is B. Data understanding .
質問 # 62
......
試験の概要は毎年新しいポリシーに基づいて変更され、CAIC質問トレントおよびその他の教育用ソフトウェアは、新しい試験の概要の後、シラバスおよび理論と実践の最新の開発および改訂に従って変更されます対応する変更は、アウトラインに非常に同意します。 CAIC試験問題は、教材の完全なセットの完璧な形です。教育概要は、カバーされているすべての知識ポイントの概要を網羅し、CAIC候補者のデッドアングルは、毎年の提案範囲と傾向を示します。
CAICテスト問題集: https://www.goshiken.com/USAII/CAIC-mondaishu.html