VALID 1Z0-1122-25 TEST COST | 1Z0-1122-25 VALID TEST DISCOUNT

Valid 1Z0-1122-25 Test Cost | 1Z0-1122-25 Valid Test Discount

Valid 1Z0-1122-25 Test Cost | 1Z0-1122-25 Valid Test Discount

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2Pass4sure real Oracle 1Z0-1122-25 Exam Dumps are ideal for applicants who are busy in their routines and want to do quick preparation for the Oracle 1Z0-1122-25 certification test. We guarantee that our actual Oracle Cloud Infrastructure 2025 AI Foundations Associate (1Z0-1122-25) questions will be enough for you to prepare successfully for the Oracle Cloud Infrastructure 2025 AI Foundations Associate (1Z0-1122-25) examination.

Oracle Cloud Infrastructure 2025 AI Foundations Associate Sample Questions (Q16-Q21):

NEW QUESTION # 16
What can Oracle Cloud Infrastructure Document Understanding NOT do?

  • A. Extract tables from documents
  • B. Generate transcript from documents
  • C. Classify documents into different types
  • D. Extract text from documents

Answer: B

Explanation:
Oracle Cloud Infrastructure (OCI) Document Understanding service offers several capabilities, including extracting tables, classifying documents, and extracting text. However, it does not generate transcripts from documents. Transcription typically refers to converting spoken language into written text, which is a function associated with speech-to-text services, not document understanding services. Therefore, generating a transcript is outside the scope of what OCI Document Understanding is designed to do .


NEW QUESTION # 17
What distinguishes Generative AI from other types of AI?

  • A. Generative AI focuses on making decisions based on user interactions.
  • B. Generative AI involves training models to perform tasks without human intervention.
  • 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 # 18
What is the purpose of Attention Mechanism in Transformer architecture?

  • A. Convert tokens into numerical forms (vectors) that the model can understand.
  • B. Break down a sentence into smaller pieces called tokens.
  • C. Weigh the importance of different words within a sequence and understand the context.
  • D. Apply a specific function to each word individually.

Answer: C

Explanation:
The purpose of the Attention Mechanism in Transformer architecture is to weigh the importance of different words within a sequence and understand the context. In essence, the attention mechanism allows the model to focus on specific parts of the input sequence when producing an output, which is crucial for understanding context and maintaining coherence over long sequences. It does this by assigning different weights to different words in the sequence, enabling the model to capture relationships between words that are far apart and to emphasize relevant parts of the input when generating predictions.
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NEW QUESTION # 19
What is a key advantage of using dedicated AI clusters in the OCI Generative AI service?

  • A. They provide faster internet connection speeds.
  • B. They allow access to unlimited database resources.
  • C. They are free of charge for all users.
  • D. They provide high performance compute resources for fine-tuning tasks.

Answer: D

Explanation:
The primary advantage of using dedicated AI clusters in the Oracle Cloud Infrastructure (OCI) Generative AI service is the provision of high-performance compute resources that are specifically optimized for fine-tuning tasks. Fine-tuning is a critical step in the process of adapting pre-trained models to specific tasks, and it requires significant computational power. Dedicated AI clusters in OCI are designed to deliver the necessary performance and scalability to handle the intense workloads associated with fine-tuning large language models (LLMs) and other AI models, ensuring faster processing and more efficient training.


NEW QUESTION # 20
Which feature is NOT supported as part of the OCI Language service's pretrained language processing capabilities?

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

Answer: B

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 # 21
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