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Oracle Cloud Infrastructure 2025 AI Foundations Associate Sample Questions (Q32-Q37):

NEW QUESTION # 32
Which AI Ethics principle leads to the Responsible AI requirement of transparency?

A. Fairness
B. Respect for human autonomy
C. Prevention of harm
D. Explicability

Answer: D

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 # 33
How does Oracle Cloud Infrastructure Document Understanding service facilitate business processes?

A. By analyzing sentiment in text documents
B. By transcribing spoken language
C. By generating lifelike speech from documents
D. By automating data extraction from documents

Answer: D

Explanation:
Explanation:

NEW QUESTION # 34
Which is NOT a capability of OCI Vision's image analysis?

A. Locating and extracting text in images
B. Translating text in images to another language
C. Object detection with bounding boxes
D. Assigning classification labels to images

Answer: B

Explanation:
OCI Vision's image analysis capabilities include locating and extracting text from images, assigning classification labels to images, and detecting objects with bounding boxes. However, translating text in images to another language is not a capability of OCI Vision's image analysis. This functionality typically requires an additional layer of processing, such as integration with a language translation service, which is beyond the scope of OCI Vision's core image analysis features.
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NEW QUESTION # 35
How does Oracle Cloud Infrastructure Document Understanding service facilitate business processes?

A. By analyzing sentiment in text documents
B. By transcribing spoken language
C. By generating lifelike speech from documents
D. By automating data extraction from documents

Answer: D

Explanation:
Oracle Cloud Infrastructure (OCI) Document Understanding service facilitates business processes by automating data extraction from documents. This service leverages machine learning to identify, classify, and extract relevant information from various document types, reducing the need for manual data entry and improving efficiency in document processing workflows. Automation of these tasks enables organizations to streamline operations and reduce errors associated with manual data handling.

NEW QUESTION # 36
You are working on a multilingual public announcement system. Which AI task will you use to implement it?

A. Speech recognition
B. Audio recording
C. Text summarization
D. Text to speech

Answer: D

Explanation:
For a multilingual public announcement system, the AI task that would be most relevant is "Text to Speech" (TTS). This task involves converting written text into spoken words, which can then be broadcasted over public address systems in multiple languages.
Text to Speech technology is crucial for creating accessible and understandable announcements in different languages, especially in environments like airports, train stations, or public events where clear verbal communication is essential. The TTS system would be configured to support multiple languages, allowing it to deliver announcements to diverse audiences effectively .

NEW QUESTION # 37
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