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Guide for Oracle Cloud Infrastructure 2025 AI Foundations Associate

Quiz Oracle Cloud Infrastructure 2025 AI Foundations Associate

Updated on 2025/11/16

PDF|

Guide for Oracle Cloud Infrastructure 2025 AI Foundations Associate

Updated on 2025/11/16

Randomized | 10 Questions per Test | 20 Minutes | 70% to pass

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Quiz

Question 1/101/10

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

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1 correct answer

They process data in parallel.

They are primarily used for image recognition tasks.

They have a feedback loop that allows information to persist across different time steps.

They do not have an internal state.

Quiz

Question 2/102/10

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

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1 correct answer

Limit the ability of LLMs to handle large datasets by imposing strict memory constraints

Manually engineer features in the data before training the model

Provide a mechanism to process sequential data in parallel and capture long-range dependencies

Image recognition tasks in LLMs

Transformers play a critical role in Large Language Models (LLMs), like GPT-4, by providing an efficient
and effective mechanism to process sequential data in parallel while capturing long-range dependencies.
This capability is essential for understanding and generating coherent and contextually appropriate text
over extended sequences of input.
Sequential Data Processing in Parallel:
Traditional models, like Recurrent Neural Networks (RNNs), process sequences of data one step at a
time, which can be slow and difficult to scale. In contrast, Transformers allow for the parallel processing
of sequences, significantly speeding up the computation and making it feasible to train on large datasets.
This parallelism is achieved through the self-attention mechanism, which enables the model to consider
all parts of the input data simultaneously, rather than sequentially. Each token (word, punctuation, etc.)
in the sequence is compared with every other token, allowing the model to weigh the importance of each
part of the input relative to every other part.
Capturing Long-Range Dependencies:
Transformers excel at capturing long-range dependencies within data, which is crucial for understanding
context in natural language processing tasks. For example, in a long sentence or paragraph, the
meaning of a word can depend on other words that are far apart in the sequence. The self-attention
mechanism in Transformers allows the model to capture these dependencies effectively by focusing on
relevant parts of the text regardless of their position in the sequence.
This ability to capture long-range dependencies enhances the model's understanding of context, leading
to more coherent and accurate text generation.
Applications in LLMs:
In the context of GPT-4 and similar models, the Transformer architecture allows these models to
generate text that is not only contextually appropriate but also maintains coherence across long
passages, which is a significant improvement over earlier models. This is why the Transformer is the
foundational architecture behind the success of GPT models.
Reference:
Transformers are a foundational architecture in LLMs, particularly because they enable parallel
processing and capture long-range dependencies, which are essential for effective language
understanding and generation.

Right Answer: C

Quiz

Question 3/103/10

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

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1 correct answer

Embedding models

Translation models

Chat models

Generation models

Quiz

Question 4/104/10

What does "fine-tuning" refer to in the context of OCI Generative AI service?

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1 correct answer

Encrypting the data for security reasons

Adjusting the model parameters to improve accuracy

Upgrading the hardware of the AI clusters

Doubling the neural network layers

Quiz

Question 5/105/10

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

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1 correct answer

It delivers exceptional performance and scalability for complex AI tasks.

It is ideal for tasks such as text-to-speech conversion.

It offers seamless integration with social media platforms.

It provides a cost-effective solution for simple AI tasks.

Quiz

Question 6/106/10

Which AI Ethics principle leads to the Responsible AI requirement of transparency?

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1 correct answer

Explicability

Prevention of harm

Respect for human autonomy

Fairness

Quiz

Question 7/107/10

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

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1 correct answer

They optimize the use of computational resources.

They simplify managing databases.

They facilitate semantic searches.

They enable creating detailed graphics.

Quiz

Question 8/108/10

You are working on a multilingual public announcement system. Which AI task will you use to implement
it?

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1 correct answer

Speech recognition

Text summarization

Audio recording

Text to speech

Quiz

Question 9/109/10

What is a key advantage of using dedicated AI clusters in the OCI Generative AI service?

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1 correct answer

They allow access to unlimited database resources.

They are free of charge for all users.

They provide high performance compute resources for fine-tuning tasks.

They provide faster internet connection speeds.

Quiz

Question 10/1010/10

How does AI enhance human efforts?

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1 correct answer

By increasing the physical strength of humans

By deleting data humans need to handle

By completely replacing human workers in all tasks

By processing data at a speed and effectiveness far beyond human capability

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Quiz name:Oracle Cloud Infrastructure 2025 AI Foundations Associate
Total number of questions:298
Number of questions for the test:50
Pass score:80%

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