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[General] Reliable 1Z0-1122-25 Mock Test - Reliable 1Z0-1122-25 Real Exam

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【General】 Reliable 1Z0-1122-25 Mock Test - Reliable 1Z0-1122-25 Real Exam

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Oracle 1Z0-1122-25 Exam Syllabus Topics:
TopicDetails
Topic 1
  • Intro to OCI AI Services: This section tests the expertise of AI Solutions Engineers in working with OCI AI services and related APIs. It provides insights into key AI services such as language processing, computer vision, document understanding, and speech recognition, allowing professionals to leverage Oracle’s AI ecosystem for building intelligent applications.
Topic 2
  • OCI Generative AI and Oracle 23ai: This section evaluates the skills of Cloud AI Architects in utilizing Oracle’s generative AI capabilities. It includes a deep dive into OCI Generative AI services, Autonomous Database Select AI for enhanced data intelligence and Oracle Vector Search for efficient information retrieval in AI-driven applications.
Topic 3
  • Intro to DL Foundations: This section assesses the expertise of Deep Learning Engineers in understanding deep learning frameworks and architectures. It covers fundamental concepts of deep learning, introduces convolutional neural networks (CNN) for image processing, and explores sequence models like recurrent neural networks (RNN) and long short-term memory (LSTM) networks for handling sequential data.

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Oracle Cloud Infrastructure 2025 AI Foundations Associate Sample Questions (Q25-Q30):NEW QUESTION # 25
Which feature is NOT available as part of OCI Speech capabilities?
  • A. Uses extensive data science experience to operate
  • B. Provides timestamped, grammatically accurate transcriptions
  • C. Transcribes audio and video files into text
  • D. Supports multiple languages including English, Spanish, and Portuguese
Answer: A
Explanation:
OCI Speech capabilities are designed to be user-friendly and do not require extensive data science experience to operate. The service provides features such as transcribing audio and video files into text, offering grammatically accurate transcriptions, supporting multiple languages, and providing timestamped outputs. These capabilities are built to be accessible to a broad range of users, making speech-to-text conversion seamless and straightforward without the need for deep technical expertise.

NEW QUESTION # 26
What key objective does machine learning strive to achieve?
  • A. Creating algorithms to solve complex problems
  • B. Enabling computers to learn and improve from experience
  • C. Explicitly programming computers
  • D. Improving computer hardware
Answer: B
Explanation:
The key objective of machine learning is to enable computers to learn from experience and improve their performance on specific tasks over time. This is achieved through the development of algorithms that can learn patterns from data and make decisions or predictions without being explicitly programmed for each task. As the model processes more data, it becomes better at understanding the underlying patterns and relationships, leading to more accurate and efficient outcomes.

NEW QUESTION # 27
How does AI enhance human efforts?
  • A. By completely replacing human workers in all tasks
  • B. By deleting data humans need to handle
  • C. By processing data at a speed and effectiveness far beyond human capability
  • D. By increasing the physical strength of humans
Answer: C
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 # 28
What is the primary benefit of using the OCI Language service for text analysis?
  • A. It allows for text analysis at scale without machine learning expertise.
  • B. It provides image processing capabilities.
  • C. It requires extensive machine learning expertise to use.
  • D. It only works with structured data.
Answer: A
Explanation:
The primary benefit of using the OCI Language service for text analysis is its ability to scale text analysis without requiring users to have extensive machine learning expertise. The service abstracts the complexities of machine learning, allowing businesses to easily process and analyze large amounts of text data through pre-built models. This accessibility makes it possible for a broader range of users to leverage advanced text analysis capabilities, facilitating insights from textual data without needing to develop and train models from scratch.

NEW QUESTION # 29
What is the purpose of Attention Mechanism in Transformer architecture?
  • A. Break down a sentence into smaller pieces called tokens.
  • B. Convert tokens into numerical forms (vectors) that the model can understand.
  • C. Weigh the importance of different words within a sequence and understand the context.
  • D. Apply a specific function to each word individually.
Answer: C
Explanation:
The purpose of the Attention Mechanism in Transformer architecture is to weigh the importance of different words within a sequence and understand the context. In essence, the attention mechanism allows the model to focus on specific parts of the input sequence when producing an output, which is crucial for understanding context and maintaining coherence over long sequences. It does this by assigning different weights to different words in the sequence, enabling the model to capture relationships between words that are far apart and to emphasize relevant parts of the input when generating predictions.
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