Oracle 1Z0-1122-25 Online Practice Questions and Exam Preparation

Oracle 1Z0-1122-25 Online Questions & Answers

• Question 11:

  What is the purpose of Attention Mechanism in Transformer architecture?

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

• Question 12:

  Which statement best describes the relationship between Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL)?

  A. DL is a subset of AI, and ML is a subset of DL.
  B. AI, ML, and DL are entirely separate fields with no overlap.
  C. ML is a subset of AI, and DL is a subset of ML.
  D. AI is a subset of DL, which is a subset of ML.
  C. ML is a subset of AI, and DL is a subset of ML.

• Question 13:

  What is "in-context learning" in the realm of Large Language Models (LLMs)?

  A. Training a model on a diverse range of tasks
  B. Modifying the behavior of a pretrained LLM permanently
  C. Teaching a model through zero-shot learning
  D. Providing a few examples of a target task via the input prompt
  D. Providing a few examples of a target task via the input prompt

• Question 14:

  In machine learning, what does the term "model training" mean?

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

• Question 15:

  What is the main function of the hidden layers in an Artificial Neural Network (ANN) when recognizing handwritten digits?

  A. Capturing the internal representation of the raw image data
  B. Providing labels for the output neurons
  C. Directly predicting the final output
  D. Storing the input pixel values
  A. Capturing the internal representation of the raw image data

• Question 16:

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

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

• Question 17:

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

• Question 18:

  What is the primary purpose of reinforcement learning?

  A. Finding relationships within data sets
  B. Identifying patterns in data
  C. Making predictions from labeled data
  D. Learning from outcomes to make decisions
  D. Learning from outcomes to make decisions

• Question 19:

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

  A. Classification and regression both assign data points to categories.
  B. Classification predicts continuous values, whereas regression assigns data points to categories.
  C. Classification assigns data points to categories, whereas regression predicts continuous values.
  D. Classification and regression both predict continuous values.
  C. Classification assigns data points to categories, whereas regression predicts continuous values.

• Question 20:

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

  A. They process data in parallel.
  B. They are primarily used for image recognition tasks.
  C. They have a feedback loop that allows information to persist across different time steps.
  D. They do not have an internal state.
  C. They have a feedback loop that allows information to persist across different time steps.