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| Section | Objectives |
|---|---|
| AI Solutions and Workflows | - Fraud prevention with Cloud AI solutions - Sentiment analysis - Advanced robotics - AI workflows |
| Neural Networks and Technical Applications | - Designing, developing, and troubleshooting technical applications on neural networks - Enhancing approaches to problems such as translation, speech recognition, and image classification |
| Deployment and Maintenance | - Development, deployment, testing, and maintenance of AI applications |
| AI Fundamentals and Data Systems | - Fundamentals of Artificial Intelligence and Machine Learning - Developing and deploying data systems related to AI |
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31. Frage
Which one of the following is a CORRECT benefit for using AI in product development?
Antwort: D
32. Frage
Artificial general intelligence (AGI) is also commonly expressed as ____.
Antwort: D
Begründung:
Artificial General Intelligence, or AGI, is commonly referred to as Strong AI because it describes an AI system with human-like cognitive ability across many different tasks and domains. Unlike narrow or weak AI, which is designed to perform a specific task such as image recognition, language translation, recommendation, fraud detection, or chatbot response generation, AGI would be able to understand, learn, reason, adapt, and solve problems broadly in a way similar to human intelligence.
Weak AI is incorrect because it refers to task-specific AI systems that operate within limited boundaries.
General AI is related in meaning, but the commonly used expression for AGI in AI classification is Strong AI.
SuperAI is different because it refers to intelligence that would exceed human intelligence, while ExpertAI is not the standard term for AGI. Therefore, the correct answer is B. Strong AI .
33. Frage
Which of the following models is called a black box as the outcomes cannot be directly linked to the model architecture and explained?
Antwort: B
Begründung:
The correct answer is A. Neural network . Neural networks, especially deep neural networks, are often described as black box models because their internal decision-making process can be difficult to interpret directly. These models learn through many interconnected layers, weights, activation functions, and hidden representations. Although they may produce highly accurate predictions, it is often hard to clearly explain how a specific input led to a specific output in simple human-understandable terms.
Computer vision is not the best answer because it is an AI application area, not a specific model type. Support vector machines can also be complex in some cases, but neural networks are the most commonly associated with black box behavior in AI explainability discussions. Unsupervised learning is a learning approach, not a specific black box model. "Semi unsupervised learning" is not a standard primary machine learning category.
Because neural networks are widely known for limited transparency and difficult interpretability, the correct answer is A .
34. Frage
Select the INCORRECT statement for DevOps architect.
Antwort: E
Begründung:
The incorrect statement is B because business development and planning are not core technical components of a robust DevOps architecture. DevOps architecture mainly focuses on automation, CI/CD pipelines, infrastructure management, deployment strategy, monitoring, alerting, scalability, reliability, security, and disaster recovery. While business planning may influence technology priorities, it is not normally listed as an essential DevOps architecture component.
Monitoring and alerting are essential because they help teams detect failures, performance degradation, service outages, and abnormal system behavior. Disaster recovery is also a critical responsibility because DevOps architects must design systems that can recover from failures with minimal downtime and limited data loss. CI/CD pipeline creation and optimization are central DevOps responsibilities because they enable faster, repeatable, and reliable software delivery. Therefore, options A, C, D, and E are valid DevOps architecture statements, while B is the incorrect one.
35. Frage
Which is the first useful computer program that came into existence in the AI world?
Antwort: E
Begründung:
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 .
36. Frage
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