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[General] 1Z0-1122-25 Exam Guide, Reliable 1Z0-1122-25 Exam Practice

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【General】 1Z0-1122-25 Exam Guide, Reliable 1Z0-1122-25 Exam Practice

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Oracle Cloud Infrastructure 2025 AI Foundations Associate Sample Questions (Q31-Q36):NEW QUESTION # 31
You are working on a multilingual public announcement system. Which AI task will you use to implement it?
  • A. Text to speech
  • B. Audio recording
  • C. Speech recognition
  • D. Text summarization
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 # 32
Which AI domain can be employed for identifying patterns in images and extract relevant features?
  • A. Anomaly Detection
  • B. Speech Processing
  • C. Computer Vision
  • D. Natural Language Processing
Answer: C
Explanation:
Computer Vision is the AI domain specifically employed for identifying patterns in images and extracting relevant features. This field focuses on enabling machines to interpret and understand visual information from the world, automating tasks that the human visual system can perform, such as recognizing objects, analyzing scenes, and detecting anomalies. Techniques in Computer Vision are widely used in applications ranging from facial recognition and image classification to medical image analysis and autonomous vehicles.

NEW QUESTION # 33
How does Oracle Cloud Infrastructure Document Understanding service facilitate business processes?
  • A. By generating lifelike speech from documents
  • B. By automating data extraction from documents
  • C. By transcribing spoken language
  • D. By analyzing sentiment in text documents
Answer: B
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
Which is NOT a capability of OCI Vision's image analysis?
  • A. Assigning classification labels to images
  • B. Object detection with bounding boxes
  • C. Locating and extracting text in images
  • D. Translating text in images to another language
Answer: D
Explanation:
OCI Vision's image analysis capabilities include locating and extracting text from images, assigning classification labels to images, and detecting objects with bounding boxes. However, translating text in images to another language is not a capability of OCI Vision's image analysis. This functionality typically requires an additional layer of processing, such as integration with a language translation service, which is beyond the scope of OCI Vision's core image analysis features.
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NEW QUESTION # 35
What are Convolutional Neural Networks (CNNs) primarily used for?
  • A. Image classification
  • B. Image generation
  • C. Text processing
  • D. Time series prediction
Answer: A
Explanation:
Convolutional Neural Networks (CNNs) are primarily used for image classification and other tasks involving spatial data. CNNs are particularly effective at recognizing patterns in images due to their ability to detect features such as edges, textures, and shapes across multiple layers of convolutional filters. This makes them the model of choice for tasks such as object recognition, image segmentation, and facial recognition.
CNNs are also used in other domains like video analysis and medical image processing, but their primary application remains in image classification.

NEW QUESTION # 36
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