1Z0-1122-25 TESTDUMP & NEW 1Z0-1122-25 EXAM VCE

1Z0-1122-25 Testdump & New 1Z0-1122-25 Exam Vce

1Z0-1122-25 Testdump & New 1Z0-1122-25 Exam Vce

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2025 Pass-Sure Oracle 1Z0-1122-25: Oracle Cloud Infrastructure 2025 AI Foundations Associate Testdump

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Oracle Cloud Infrastructure 2025 AI Foundations Associate Sample Questions (Q15-Q20):

NEW QUESTION # 15
Which AI Ethics principle leads to the Responsible AI requirement of transparency?

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

Answer: B

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 # 16
Which feature is NOT supported as part of the OCI Language service's pretrained language processing capabilities?

  • A. Language Detection
  • B. Sentiment Analysis
  • C. Text Classification
  • D. Text Generation

Answer: D

Explanation:
The OCI Language service offers several pretrained language processing capabilities, including Text Classification, Sentiment Analysis, and Language Detection. However, it does not natively support Text Generation as a part of its core language processing capabilities. Text Generation typically involves creating new content based on input prompts, which is a feature more commonly associated with models specifically designed for natural language generation.


NEW QUESTION # 17
In machine learning, what does the term "model training" mean?

  • A. Establishing a relationship between input features and output
  • B. Writing code for the entire program
  • C. Analyzing the accuracy of a trained model
  • D. Performing data analysis on collected and labeled data

Answer: A

Explanation:
In machine learning, "model training" refers to the process of teaching a model to make predictions or decisions by learning the relationships between input features and the corresponding output. During training, the model is fed a large dataset where the inputs are paired with known outputs (labels). The model adjusts its internal parameters to minimize the error between its predictions and the actual outputs. Over time, the model learns to generalize from the training data to make accurate predictions on new, unseen data.


NEW QUESTION # 18
What is the benefit of using embedding models in OCI Generative AI service?

  • A. They optimize the use of computational resources.
  • B. They enable creating detailed graphics.
  • C. They facilitate semantic searches.
  • D. They simplify managing databases.

Answer: C

Explanation:
Embedding models in the OCI Generative AI service are designed to represent text, phrases, or other data types in a dense vector space, where semantically similar items are located closer to each other. This representation enables more effective semantic searches, where the goal is to retrieve information based on the meaning and context of the query, rather than just exact keyword matches.
The benefit of using embedding models is that they allow for more nuanced and contextually relevant searches. For example, if a user searches for "financial reports," an embedding model can understand that "quarterly earnings" is semantically related, even if the exact phrase does not appear in the document. This capability greatly enhances the accuracy and relevance of search results, making it a powerful tool for handling large and diverse datasets .


NEW QUESTION # 19
Which capability is supported by the Oracle Cloud Infrastructure Vision service?

  • A. Detecting and preventing fraud in financial transactions
  • B. Analyzing historical data for unusual patterns
  • C. Generating realistic images from text
  • D. Detecting vehicle number plates to issue speed citations

Answer: D

Explanation:
The Oracle Cloud Infrastructure (OCI) Vision service is designed for image analysis tasks, which includes the capability to detect and recognize objects, such as vehicle number plates. This functionality is particularly useful for applications such as automated enforcement of traffic laws, where the system can identify vehicles exceeding speed limits and issue citations based on the detected number plates. This capability leverages advanced computer vision techniques to process and analyze visual data, making it suitable for applications in public safety, transportation, and law enforcement.


NEW QUESTION # 20
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