News

  1. Home
  2. AI
AI, All posts by Team Ajara

OCI 2023 AI Foundations Associate (1Z0-1122-23) S6

Oracle Cloud Infrastructure 2023 AI Foundations Associate (1Z0-1122-23)

 

Which OCI Data Science feature allows you to use catalogued models as HTTP endpoints on fully managed infrastructure?

  • Conda Environments
  • Model Catalog
  • Jobs
  • Model Deployments (*)

Correct Option: Model Deployments

Model Deployments in OCI Data Science enable you to deploy your Machine Learning models as HTTP endpoints, making them accessible for real-time predictions and inferences. You can easily deploy, manage, and scale these models on fully managed infrastructure. Model Deployments are a key component for operationalizing your Machine Learning models and integrating them into your applications or services.

 

  1. What is the advantage of using OCI Superclusters for AI workloads?
  • Provide a cost-effective solution for simple AI tasks
  • Offer seamless integration with social media platforms
  • Deliver exceptional performance and scalability for complex AI tasks (*)
  • Are ideal for tasks such as text-to-speech conversion

Correct Option: Deliver exceptional performance and scalability for complex AI tasks

OCI AI Superclusters are specifically designed to handle demanding AI workloads that require significant computational power and scalability. They are optimized to provide high performance for complex tasks such as training large Machine Learning models, deep learning, and other compute-intensive AI tasks.

 

  1. Which is NOT an Oracle Cloud Infrastructure AI service?
  • Translator (*)
  • Language
  • Vision
  • Speech

Correct Option: Translator

Oracle Cloud Infrastructure (OCI) offers various AI services, including Language, Speech, and Vision services. “Translator” is not a stand-alone AI service category offered by Oracle Cloud Infrastructure.

 

4.What is the primary value proposition of Machine Learning in Oracle Database?

 

  • Offers a complex pricing structure with additional costs for Machine Learning features
  • Eliminates data movement, empowers users with Machine Learning, and offers a simpler architecture (*)
  • Provides algorithms specifically redesigned for data movement in hybrid environments
  • Focuses on transferring data and providing flexible architecture to enhance database performance and scalability

 

Correct Option: OML eliminates data movement, empowers users with machine learning, and offers a simpler architecture.

Oracle Database’s Machine Learning capabilities are designed to eliminate the need to move data out of the database for Machine Learning tasks. This is a significant advantage because it reduces data latency, enhances security, and simplifies the overall architecture of data-driven applications. By providing in-database Machine Learning, Oracle empowers users to perform Machine Learning tasks directly within the database, leveraging its computational power and efficiency.

 

  1. Which OCI Data Science feature enables you to define and run repeatable Machine Learning tasks on fully managed infrastructure?
  • Model Detection
  • Jobs (*)
  • Model Catalog
  • Conda Environments

Correct Option: Jobs

Jobs in OCI Data Science allows you to define and run repeatable Machine Learning tasks and workflows. You can create and execute specific operations, such as data preprocessing, model training, model evaluation, and more, using Jobs. They provide a structured way to automate and manage individual tasks within a data science project.

Source: https://oracle.com

See also