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1Z0-1122-25 Real Exam Questions

Oracle Cloud Infrastructure 2025 AI Foundations Associate

41 questions available · Page 1 of 5

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Question 1 Single choice

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

  1. A

    Natural Language Processing

  2. B

    Computer Vision

  3. C

    Natural Language Processing

  4. D

    Anomaly Detection

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Correct answer: A

Question 2 Single choice

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

  1. A

    Text Classification

  2. B

    Sentiment Analysis

  3. C

    Language Detection

  4. D

    Text Generation

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Correct answer: D

Question 3 Single choice

What is the difference between classification and regression in Supervised Machine Learning?

  1. A

    Classification and regression both assign data points to categories.

  2. B

    Classification predicts continuous values, whereas regression assigns data points to categories.

  3. C

    Classification assigns data points to categories, whereas regression predicts continuous values.

  4. D

    Classification and regression both predict continuous values.

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Correct answer: C

Question 4 Single choice

How is "Prompt Engineering" different from "Fine-tuning" in the context of Large Language Models (LLMs)?

  1. A

    Prompt Engineering creates input prompts, while Fine-tuning retrains the model on specific data.

  2. B

    Both involve retraining the model, but Prompt Engineering does it more often.

  3. C

    Prompt Engineering adjusts the model's parameters, while Fine-tuning crafts input prompts.

  4. D

    Prompt Engineering modifies training data, while Fine-tuning alters the model's structure.

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Correct answer: A

Question 5 Single choice

How do Large Language Models (LLMs) handle the trade-off between model size, data quality, data size and performance?

  1. A

    They prioritize larger model sizes to achieve better performance.

  2. B

    They focus on increasing the number of tokens while keeping the model size constant.

  3. C

    They disregard model size and prioritize high-quality data only.

  4. D

    They ensure that the model size, training time, and data size are balanced for optimal results.

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Correct answer: D

Question 6 Single choice

What is the key feature of Recurrent Neural Networks (RNNs)?

  1. A

    They process data in parallel.

  2. B

    They are primarily used for image recognition tasks.

  3. C

    They have a feedback loop that allows information to persist across different time steps.

  4. D

    They do not have an internal state.

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Correct answer: C

Question 7 Single choice

Which statement describes the Optical Character Recognition (OCR) feature of Oracle Cloud Infrastructure Document Understanding?

  1. A

    It converts audio files into text.

  2. B

    It enhances the visual quality of documents.

  3. C

    It recognizes and extracts text from a document.

  4. D

    It provides real-time translation of text.

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Correct answer: C

Question 8 Single choice

What is the purpose of Attention Mechanism in Transformer architecture?

  1. A

    Weigh the importance of different words within a sequence and understand the context.

  2. B

    Convert tokens into numerical forms (vectors) that the model can understand.

  3. C

    Break down a sentence into smaller pieces called tokens.

  4. D

    Apply a specific function to each word individually.

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Correct answer: A

Question 9 Single choice

Which feature of OCI Speech helps make transcriptions easier to read and understand?

  1. A

    Audio tuning

  2. B

    Timestamping

  3. C

    Profanity filtering

  4. D

    Text normalization

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Correct answer: D

Question 10 Single choice

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

  1. A

    By generating lifelike speech from documents

  2. B

    By analyzing sentiment in text documents

  3. C

    By transcribing spoken language

  4. D

    By automating data extraction from documents

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Correct answer: D