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Oracle Cloud Infrastructure 2024 AI Foundations Associate Sample Questions (Q32-Q37):
NEW QUESTION # 32
How does AI enhance human efforts?
- A. By deleting data humans need to handle
- B. By increasing the physical strength of humans
- C. By processing data at a speed and effectiveness far beyond human capability
- D. By completely replacing human workers in all tasks
Answer: C
Explanation:
AI enhances human efforts by processing large volumes of data quickly and accurately, performing complex computations that would be time-consuming or impossible for humans to handle manually. This allows humans to focus on more strategic, creative, and decision-making tasks, leveraging AI's ability to provide insights, automate repetitive processes, and support decision-making. AI does not physically enhance human capabilities, nor does it replace human workers in all tasks. Instead, it serves as an augmentation tool, amplifying human productivity and capabilities.
NEW QUESTION # 33
Which algorithm is primarily used for adjusting the weights of connections between neurons during the training of an Artificial Neural Network (ANN)?
- A. Random Forest
- B. Gradient Descent
- C. Support Vector Machine
- D. Backpropagation
Answer: D
Explanation:
Backpropagation is the algorithm primarily used for adjusting the weights of connections between neurons during the training of an Artificial Neural Network (ANN). It is a supervised learning algorithm that calculates the gradient of the loss function with respect to each weight by applying the chain rule, propagating the error backward from the output layer to the input layer. This process updates the weights to minimize the error, thus improving the model's accuracy over time.
Gradient Descent is closely related as it is the optimization algorithm used to adjust the weights based on the gradients computed by backpropagation, but backpropagation is the specific method used to calculate these gradients.
NEW QUESTION # 34
Which feature is NOT available as part of OCI Speech capabilities?
- A. Uses extensive data science experience to operate
- B. Supports multiple languages including English, Spanish, and Portuguese
- C. Provides timestamped, grammatically accurate transcriptions
- D. Transcribes audio and video files into text
Answer: A
Explanation:
OCI Speech capabilities are designed to be user-friendly and do not require extensive data science experience to operate. The service provides features such as transcribing audio and video files into text, offering grammatically accurate transcriptions, supporting multiple languages, and providing timestamped outputs. These capabilities are built to be accessible to a broad range of users, making speech-to-text conversion seamless and straightforward without the need for deep technical expertise.
NEW QUESTION # 35
Which AI Ethics principle leads to the Responsible AI requirement of transparency?
- A. Prevention of harm
- B. Fairness
- C. Explicability
- D. Respect for human autonomy
Answer: C
Explanation:
Explicability is the AI Ethics principle that leads to the Responsible AI requirement of transparency. This principle emphasizes the importance of making AI systems understandable and interpretable to humans. Transparency is a key aspect of explicability, as it ensures that the decision-making processes of AI systems are clear and comprehensible, allowing users to understand how and why a particular decision or output was generated. This is critical for building trust in AI systems and ensuring that they are used responsibly and ethically.
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NEW QUESTION # 36
What distinguishes Generative AI from other types of AI?
- A. Generative AI creates diverse content such as text, audio, and images by learning patterns from existing data.
- B. Generative AI focuses on making decisions based on user interactions.
- C. Generative AI uses algorithms to predict outcomes based on past data.
- D. Generative AI involves training models to perform tasks without human intervention.
Answer: A
Explanation:
Generative AI is distinct from other types of AI in that it focuses on creating new content by learning patterns from existing data. This includes generating text, images, audio, and other types of media. Unlike AI that primarily analyzes data to make decisions or predictions, Generative AI actively creates new and original outputs. This ability to generate diverse content is a hallmark of Generative AI models like GPT-4, which can produce human-like text, create images, and even compose music based on the patterns they have learned from their training data.
NEW QUESTION # 37
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