CIW 1D0-181 問題練習

Question No : 1
How is 'deep learning' different from traditional machine learning?

• A.Deep learning requires less data
• B.Deep learning is based on structured, rule-based algorithms
• C.Deep learning uses neural networks with multiple layers
• D.Deep learning can only be used for text data

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Question No : 2
Which legal frameworks regulate the privacy of data used in AI models? (Select two)

• A.General Data Protection Regulation (GDPR)
• B.Fair Use Doctrine
• C.California Consumer Privacy Act (CCPA)
• D.Open Source Licensing

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Question No : 3
Which of the following best represents reasoning in AI?

• A.Creating static models
• B.Making decisions based on available data
• C.Data input processing
• D.Creating images

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Question No : 4
What is the significance of 'deep learning' in AI?

• A.It refers to learning that happens underground
• B.It's a type of machine learning based on neural networks with many layers
• C.It's about making AI models physically deeper
• D.It involves creating deeper colors in AI visualizations

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Question No : 5
What does it mean for AI developers to have an ethical responsibility in AI development?

• A.Ensuring that the AI system benefits society
• B.Using only open-source software
• C.Reducing algorithm complexity
• D.Maximizing profits for organizations

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Question No : 6
In AI, what does 'RNN' stand for and what is its primary use?

• A.Random Neural Network, used for random data generation
• B.Robust Neural Network, used in hardware design
• C.Recurrent Neural Network, primarily used for sequential data like time series
• D.Reactive Neural Network, used in reactive systems

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Question No : 7
What are examples of continuous data types? (Select two)

• A.Temperature readings
• B.Customer satisfaction ratings
• C.Stock prices
• D.Gender identification

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Question No : 8
What role do 'algorithms' play in AI?

• A.They are used for building physical AI structures
• B.They are sets of rules or instructions followed by AI systems
• C.They are used for manual data entry
• D.They are purely aesthetic components of AI

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Question No : 9
What are key ethical issues in AI when using data from public sources? (Select two)

• A.Transparency in how data is collected
• B.Data encryption
• C.Proper attribution of sources
• D.Selecting low-cost data storage

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Question No : 10
What is a key challenge when dealing with multivariate outliers?

• A.Identifying relevant features
• B.Detecting abnormal patterns across multiple variables
• C.Aggregating data from multiple sources
• D.Adding new features

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Question No : 11
Which factors should be considered when selecting a machine learning algorithm? (Select two)

• A.Model interpretability
• B.Number of users
• C.Data complexity
• D.Hardware specifications

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Question No : 12
How does 'unsupervised learning' differ from 'supervised learning' in AI?

• A.It requires no electricity
• B.It involves learning from unlabeled data
• C.It only works on text data
• D.It is a faster type of learning

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Question No : 13
What does 'AI' stand for?

• A.Automatic Intelligence
• B.Artificial Intelligence
• C.Analogous Information
• D.Advanced Information

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Question No : 14
Which technology is crucial for speech recognition in AI?

• A.Solid State Drives
• B.Natural Language Processing
• C.Graphic Cards
• D.Bluetooth Technology

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Question No : 15
Which tasks are typically part of dataset preparation in AI? (Select two)

• A.Data cleaning
• B.Algorithm selection
• C.Feature scaling
• D.Hardware configuration

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