PROMINENT FEATURES OF {ORACLE} ORACLE 1Z0-1122-25 EXAM QUESTIONS

Prominent Features of {Oracle} Oracle 1Z0-1122-25 Exam Questions

Prominent Features of {Oracle} Oracle 1Z0-1122-25 Exam Questions

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Oracle Cloud Infrastructure 2025 AI Foundations Associate Sample Questions (Q18-Q23):

NEW QUESTION # 18
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 provides a cost-effective solution for simple AI tasks.
  • C. It offers seamless integration with social media platforms.
  • 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 # 19
In machine learning, what does the term "model training" mean?

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

Answer: B

Explanation:
In machine learning, "model training" refers to the process of teaching a model to make predictions or decisions by learning the relationships between input features and the corresponding output. During training, the model is fed a large dataset where the inputs are paired with known outputs (labels). The model adjusts its internal parameters to minimize the error between its predictions and the actual outputs. Over time, the model learns to generalize from the training data to make accurate predictions on new, unseen data.


NEW QUESTION # 20
How does AI enhance human efforts?

  • A. By increasing the physical strength of humans
  • B. By processing data at a speed and effectiveness far beyond human capability
  • C. By deleting data humans need to handle
  • D. By completely replacing human workers in all tasks

Answer: B

Explanation:
AI enhances human efforts by processing large volumes of data quickly and accurately, performing complex computations that would be time-consuming or impossible for humans to handle manually. This allows humans to focus on more strategic, creative, and decision-making tasks, leveraging AI's ability to provide insights, automate repetitive processes, and support decision-making. AI does not physically enhance human capabilities, nor does it replace human workers in all tasks. Instead, it serves as an augmentation tool, amplifying human productivity and capabilities.


NEW QUESTION # 21
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. Notebook sessions
  • D. Model catalog

Answer: C

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 would you use Oracle AI Vector Search for?

  • A. Store business data in a cloud database.
  • B. Manage database security protocols.
  • C. Query data based on keywords.
  • D. Query data based on semantics.

Answer: D

Explanation:
Oracle AI Vector Search is designed to query data based on semantics rather than just keywords. This allows for more nuanced and contextually relevant searches by understanding the meaning behind the words used in a query. Vector search represents data in a high-dimensional vector space, where semantically similar items are placed closer together. This capability makes it particularly powerful for applications such as recommendation systems, natural language processing, and information retrieval where the meaning and context of the data are crucial .


NEW QUESTION # 23
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