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Oracle Cloud Infrastructure 2025 AI Foundations Associate Sample Questions (Q31-Q36):

NEW QUESTION # 31
What is the main function of the hidden layers in an Artificial Neural Network (ANN) when recognizing handwritten digits?

A. Storing the input pixel values
B. Capturing the internal representation of the raw image data
C. Directly predicting the final output
D. Providing labels for the output neurons

Answer: B

Explanation:
In an Artificial Neural Network (ANN) designed for recognizing handwritten digits, the hidden layers serve the crucial function of capturing the internal representation of the raw image data. These layers learn to extract and represent features such as edges, shapes, and textures from the input pixels, which are essential for distinguishing between different digits. By transforming the input data through multiple hidden layers, the network gradually abstracts the raw pixel data into higher-level representations, which are more informative and easier to classify into the correct digit categories.

NEW QUESTION # 32
Which statement best describes the relationship between Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL)?

A. ML is a subset of AI, and DL is a subset of ML.
B. AI is a subset of DL, which is a subset of ML.
C. DL is a subset of AI, and ML is a subset of DL.
D. AI, ML, and DL are entirely separate fields with no overlap.

Answer: A

Explanation:
Artificial Intelligence (AI) is the broadest field encompassing all technologies that enable machines to perform tasks that typically require human intelligence. Within AI, Machine Learning (ML) is a subset focused on the development of algorithms that allow systems to learn from and make predictions or decisions based on data. Deep Learning (DL) is a further subset of ML, characterized by the use of artificial neural networks with many layers (hence "deep").
In this hierarchy:
AI includes all methods to make machines intelligent.
ML refers to the methods within AI that focus on learning from data.
DL is a specialized field within ML that deals with deep neural networks.

NEW QUESTION # 33
How does Oracle Cloud Infrastructure Document Understanding service facilitate business processes?

A. By transcribing spoken language
B. By generating lifelike speech from documents
C. By analyzing sentiment in text documents
D. By automating data extraction from documents

Answer: D

Explanation:
Oracle Cloud Infrastructure (OCI) Document Understanding service facilitates business processes by automating data extraction from documents. This service leverages machine learning to identify, classify, and extract relevant information from various document types, reducing the need for manual data entry and improving efficiency in document processing workflows. Automation of these tasks enables organizations to streamline operations and reduce errors associated with manual data handling.

NEW QUESTION # 34
What is the key feature of Recurrent Neural Networks (RNNs)?

A. They are primarily used for image recognition tasks.
B. They have a feedback loop that allows information to persist across different time steps.
C. They do not have an internal state.
D. They process data in parallel.

Answer: B

Explanation:
Recurrent Neural Networks (RNNs) are a class of neural networks where connections between nodes can form cycles. This cycle creates a feedback loop that allows the network to maintain an internal state or memory, which persists across different time steps. This is the key feature of RNNs that distinguishes them from other neural networks, such as feedforward neural networks that process inputs in one direction only and do not have internal states.
RNNs are particularly useful for tasks where context or sequential information is important, such as in language modeling, time-series prediction, and speech recognition. The ability to retain information from previous inputs enables RNNs to make more informed predictions based on the entire sequence of data, not just the current input.
In contrast:
Option A (They process data in parallel) is incorrect because RNNs typically process data sequentially, not in parallel.
Option B (They are primarily used for image recognition tasks) is incorrect because image recognition is more commonly associated with Convolutional Neural Networks (CNNs), not RNNs.
Option D (They do not have an internal state) is incorrect because having an internal state is a defining characteristic of RNNs.
This feedback loop is fundamental to the operation of RNNs and allows them to handle sequences of data effectively by "remembering" past inputs to influence future outputs. This memory capability is what makes RNNs powerful for applications that involve sequential or time-dependent data.

NEW QUESTION # 35
You are working on a multilingual public announcement system. Which AI task will you use to implement it?

A. Text to speech
B. Text summarization
C. Audio recording
D. Speech recognition

Answer: A

Explanation:
For a multilingual public announcement system, the AI task that would be most relevant is "Text to Speech" (TTS). This task involves converting written text into spoken words, which can then be broadcasted over public address systems in multiple languages.
Text to Speech technology is crucial for creating accessible and understandable announcements in different languages, especially in environments like airports, train stations, or public events where clear verbal communication is essential. The TTS system would be configured to support multiple languages, allowing it to deliver announcements to diverse audiences effectively .

NEW QUESTION # 36
......

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Examcollection 1Z0-1122-25 Questions Answers & Free 1Z0-1122-25 Brain Dumps

Free PDF Oracle - Unparalleled 1Z0-1122-25 - Examcollection Oracle Cloud Infrastructure 2025 AI Foundations Associate Questions Answers

Oracle Cloud Infrastructure 2025 AI Foundations Associate Sample Questions (Q31-Q36):

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