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Oracle Cloud Infrastructure 2024 AI Foundations Associate Sample Questions (Q21-Q26):

NEW QUESTION # 21
What feature of OCI Data Science provides an interactive coding environment for building and training models?

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

Answer: A

Explanation:
In OCI Data Science, Notebook sessions provide an interactive coding environment that is essential for building, training, and deploying machine learning models. These sessions allow data scientists to write and execute code in real time, offering a flexible environment for data exploration, model experimentation, and iterative development. The integration with various OCI services and support for popular machine learning frameworks further enhances the utility of Notebook sessions, making them a crucial tool in the data science workflow.


NEW QUESTION # 22
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 offers seamless integration with social media platforms.
  • C. It provides a cost-effective solution for simple AI tasks.
  • D. It is ideal for tasks such as text-to-speech conversion.

Answer: A

Explanation:
Oracle Cloud Infrastructure Supercluster is designed to deliver exceptional performance and scalability for complex AI tasks. The primary benefit of this infrastructure is its ability to handle demanding AI workloads, offering high-performance computing (HPC) capabilities that are crucial for training large-scale AI models and processing massive datasets. The architecture of the Supercluster ensures low-latency networking, efficient resource allocation, and high-throughput processing, making it ideal for AI tasks that require significant computational power, such as deep learning, data analytics, and large-scale simulations.


NEW QUESTION # 23
Which is NOT a category of pretrained foundational models available in the OCI Generative AI service?

  • A. Translation models
  • B. Generation models
  • C. Embedding models
  • D. Chat models

Answer: A

Explanation:
The OCI Generative AI service offers various categories of pretrained foundational models, including Embedding models, Chat models, and Generation models. These models are designed to perform a wide range of tasks, such as generating text, answering questions, and providing contextual embeddings. However, Translation models, which are typically used for converting text from one language to another, are not a category available in the OCI Generative AI service's current offerings. The focus of the OCI Generative AI service is more aligned with tasks related to text generation, chat interactions, and embedding generation rather than direct language translation.


NEW QUESTION # 24
Which AI Ethics principle leads to the Responsible AI requirement of transparency?

  • A. Prevention of harm
  • B. Fairness
  • C. Explicability
  • D. Respect for human autonomy

Answer: C


NEW QUESTION # 25
Which capability is supported by the Oracle Cloud Infrastructure Vision service?

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

Answer: D

Explanation:
The Oracle Cloud Infrastructure (OCI) Vision service is designed for image analysis tasks, which includes the capability to detect and recognize objects, such as vehicle number plates. This functionality is particularly useful for applications such as automated enforcement of traffic laws, where the system can identify vehicles exceeding speed limits and issue citations based on the detected number plates. This capability leverages advanced computer vision techniques to process and analyze visual data, making it suitable for applications in public safety, transportation, and law enforcement.


NEW QUESTION # 26
......

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