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NEW QUESTION # 46
Which is the first useful computer program that came into existence in the AI world?
Answer: D
Explanation:
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 .
NEW QUESTION # 47
Choose the CORRECT statement for GenAI.
Answer: D
Explanation:
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 .
NEW QUESTION # 48
Which of the following is the CORRECT first step in the Machine Learning lifecycle?
Answer: E
Explanation:
The correct answer is B. Business understanding . The first step in the machine learning lifecycle is to understand the business problem, objective, expected outcome, and success criteria. Before collecting data, selecting algorithms, or preparing models, the organization must clearly define what problem the ML solution is intended to solve and how success will be measured. This may include identifying business goals such as cost reduction, revenue improvement, risk mitigation, customer experience improvement, operational efficiency, or decision automation.
Data understanding comes after business understanding because data exploration should be guided by the business objective. Algorithm use understanding is also not the first step because choosing or evaluating algorithms should happen only after the problem, data, and intended outcome are clear. Options D and E are incorrect because the question asks for the single first step. Therefore, the correct first step in the machine learning lifecycle is B. Business understanding .
NEW QUESTION # 49
Select the BEST choice for ML solutions architecture coverage.
Answer: D
Explanation:
The correct answer is E. a, b and c only because ML solution architecture must cover the complete path from business need to technical implementation. Business understanding is essential because an ML solution should begin with a clear problem statement, business objective, success criteria, expected value, and operational impact. Without business understanding, the model may solve the wrong problem or fail to create measurable value.
Identification and verification of ML techniques are also part of ML solution architecture because teams must choose suitable algorithms, validate model approaches, compare methods, and confirm that the selected technique fits the data, use case, performance expectations, and business constraints. System architecture of the ML technology platform is equally important because ML solutions require data pipelines, infrastructure, compute resources, model deployment environments, monitoring, security, scalability, and integration with enterprise systems.
Since all three areas are important parts of ML solution architecture coverage, the best answer is E .
NEW QUESTION # 50
Which of the following is a CORRECT statement for Fine-tuning?
Answer: C
Explanation:
The correct answer is E. a, b and c only because all three statements accurately describe fine-tuning. Fine- tuning is a machine learning and AI technique where a model that has already been trained on a large dataset is further trained or adapted for a more specific task, domain, or use case. This is common in natural language processing, generative AI, computer vision, and business AI applications.
Statement A is correct because fine-tuning adapts a pre-trained model to a new task. Statement B is also correct because during fine-tuning, some or all model parameters may be updated based on task-specific data.
Statement C is correct because the main advantage of fine-tuning is that it uses the general knowledge already learned by the pre-trained model instead of building a new model from the beginning. This saves time, data, compute resources, and often improves performance on specialized tasks. Therefore, the best answer is E .
NEW QUESTION # 51
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