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

Oracle 1Z0-1122-25 Online Questions & Answers

• Question 21:

  Which capability is supported by the Oracle Cloud Infrastructure Vision service?

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

• Question 22:

  What is the benefit of using embedding models in OCI Generative AI service?

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

• Question 23:

  What role do Transformers perform in Large Language Models (LLMs)?

  A. Limit the ability of LLMs to handle large datasets by imposing strict memory constraints
  B. Manually engineer features in the data before training the model
  C. Provide a mechanism to process sequential data in parallel and capture long-range dependencies
  D. Image recognition tasks in LLMs
  C. Provide a mechanism to process sequential data in parallel and capture long-range dependencies

• Question 24:

  What feature of OCI Data Science provides an interactive coding environment for building and training models?

  A. Accelerated Data Science (ADS) SDK
  B. Conda environment
  C. Model catalog
  D. Notebook sessions
  D. Notebook sessions

• Question 25:

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

  A. It converts audio files into text.
  B. It enhances the visual quality of documents.
  C. It recognizes and extracts text from a document.
  D. It provides real-time translation of text.
  C. It recognizes and extracts text from a document.

• Question 26:

  You are working on a project for a healthcare organization that wants to develop a system to predict the severity of patients' illnesses upon admission to a hospital. The goal is to classify patients into three categories ?Low Risk, Moderate Risk, and High Risk ?based on their medical history and vital signs. Which type of supervised learning algorithm is required in this scenario?

  A. Regression
  B. Multi-Class Classification
  C. Binary Classification
  D. Clustering
  B. Multi-Class Classification

• Question 27:

  What is the primary benefit of using Oracle Cloud Infrastructure Supercluster for AI workloads?

  A. It delivers exceptional performance and scalability for complex AI tasks.
  B. It is ideal for tasks such as text-to-speech conversion.
  C. It offers seamless integration with social media platforms.
  D. It provides a cost-effective solution for simple AI tasks.
  A. It delivers exceptional performance and scalability for complex AI tasks.

• Question 28:

  What key objective does machine learning strive to achieve?

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

• Question 29:

  What is the primary benefit of using the OCI Language service for text analysis?

  A. It allows for text analysis at scale without machine learning expertise.
  B. It only works with structured data.
  C. It provides image processing capabilities.
  D. It requires extensive machine learning expertise to use.
  A. It allows for text analysis at scale without machine learning expertise.

• Question 30:

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

  A. Audio tuning
  B. Timestamping
  C. Profanity filtering
  D. Text normalization
  D. Text normalization