PASS GUARANTEED QUIZ 2025 ORACLE 1Z0-1122-25: PASS-SURE ORACLE CLOUD INFRASTRUCTURE 2025 AI FOUNDATIONS ASSOCIATE TRAINING FOR EXAM

Pass Guaranteed Quiz 2025 Oracle 1Z0-1122-25: Pass-Sure Oracle Cloud Infrastructure 2025 AI Foundations Associate Training For Exam

Pass Guaranteed Quiz 2025 Oracle 1Z0-1122-25: Pass-Sure Oracle Cloud Infrastructure 2025 AI Foundations Associate Training For Exam

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Oracle Cloud Infrastructure 2025 AI Foundations Associate Sample Questions (Q30-Q35):

NEW QUESTION # 30
Which is NOT a capability of OCI Vision's image analysis?

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

Answer: C

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 # 31
Which AI domain is associated with tasks such as identifying the sentiment of text and translating text between languages?

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

Answer: C

Explanation:
Natural Language Processing (NLP) is the AI domain associated with tasks such as identifying the sentiment of text and translating text between languages. NLP focuses on enabling machines to understand, interpret, and generate human language in a way that is both meaningful and useful. This domain covers a wide range of applications, including text classification, language translation, sentiment analysis, and more, all of which involve processing and analyzing natural language data.


NEW QUESTION # 32
What distinguishes Generative AI from other types of AI?

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

Answer: B

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 # 33
What key objective does machine learning strive to achieve?

  • A. Creating algorithms to solve complex problems
  • B. Improving computer hardware
  • C. Enabling computers to learn and improve from experience
  • D. Explicitly programming computers

Answer: C

Explanation:
The key objective of machine learning is to enable computers to learn from experience and improve their performance on specific tasks over time. This is achieved through the development of algorithms that can learn patterns from data and make decisions or predictions without being explicitly programmed for each task. As the model processes more data, it becomes better at understanding the underlying patterns and relationships, leading to more accurate and efficient outcomes.


NEW QUESTION # 34
What would you use Oracle AI Vector Search for?

  • A. Query data based on semantics.
  • B. Manage database security protocols.
  • C. Query data based on keywords.
  • D. Store business data in a cloud database.

Answer: A

Explanation:
Oracle AI Vector Search is designed to query data based on semantics rather than just keywords. This allows for more nuanced and contextually relevant searches by understanding the meaning behind the words used in a query. Vector search represents data in a high-dimensional vector space, where semantically similar items are placed closer together. This capability makes it particularly powerful for applications such as recommendation systems, natural language processing, and information retrieval where the meaning and context of the data are crucial .


NEW QUESTION # 35
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