PASS GUARANTEED LATEST ORACLE - 1Z0-1122-24 - ORACLE CLOUD INFRASTRUCTURE 2024 AI FOUNDATIONS ASSOCIATE ACTUAL TEST PDF

Pass Guaranteed Latest Oracle - 1z0-1122-24 - Oracle Cloud Infrastructure 2024 AI Foundations Associate Actual Test Pdf

Pass Guaranteed Latest Oracle - 1z0-1122-24 - Oracle Cloud Infrastructure 2024 AI Foundations Associate Actual Test Pdf

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Oracle Cloud Infrastructure 2024 AI Foundations Associate Sample Questions (Q13-Q18):

NEW QUESTION # 13
You are part of the medical transcription team and need to automate transcription tasks. Which OCI AI service are you most likely to use?

  • A. Language
  • B. Vision
  • C. Document Understanding
  • D. Speech

Answer: D

Explanation:
For automating transcription tasks in a medical transcription team, the most appropriate OCI AI service to use would be the "Speech" service. This service is designed to convert spoken language into text, which is essential for transcribing spoken medical reports or consultations into written form. The OCI Speech service provides capabilities such as speech-to-text conversion, which is specifically tailored for handling audio input and producing accurate transcriptions.


NEW QUESTION # 14
Which AI Ethics principle leads to the Responsible AI requirement of transparency?

  • A. Respect for human autonomy
  • B. Prevention of harm
  • C. Fairness
  • 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 # 15
What distinguishes Generative AI from other types of AI?

  • A. Generative AI involves training models to perform tasks without human intervention.
  • B. Generative AI focuses on making decisions based on user interactions.
  • C. Generative AI creates diverse content such as text, audio, and images by learning patterns from existing data.
  • D. Generative AI uses algorithms to predict outcomes based on past data.

Answer: C

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 # 16
How does AI enhance human efforts?

  • A. By processing data at a speed and effectiveness far beyond human capability
  • B. By deleting data humans need to handle
  • C. By completely replacing human workers in all tasks
  • D. By increasing the physical strength of humans

Answer: A

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 # 17
Which AI domain can be employed for identifying patterns in images and extract relevant features?

  • A. Anomaly Detection
  • B. Computer Vision
  • C. Natural Language Processing
  • D. Speech Processing

Answer: B

Explanation:
Computer Vision is the AI domain specifically employed for identifying patterns in images and extracting relevant features. This field focuses on enabling machines to interpret and understand visual information from the world, automating tasks that the human visual system can perform, such as recognizing objects, analyzing scenes, and detecting anomalies. Techniques in Computer Vision are widely used in applications ranging from facial recognition and image classification to medical image analysis and autonomous vehicles.


NEW QUESTION # 18
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