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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: OCI AI Portfolio | 15% | - Overview of OCI AI offerings
|
| Topic 2: Machine Learning Foundations | 15% | - Machine Learning fundamentals
|
| Topic 3: Deep Learning Foundations | 15% | - Deep Learning and neural networks
|
| Topic 4: Introduction to OCI AI Services | 20% | - OCI AI Service APIs
|
| Topic 5: Generative AI and Large Language Models | 15% | - Generative AI concepts
|
| Topic 6: OCI Generative AI and Oracle 23ai | 10% | - OCI Generative AI Service features
|
| Topic 7: AI Foundations | 10% | - Artificial Intelligence basics and terminology
|
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NEW QUESTION # 23
You are working on a multilingual public announcement system. Which AI task will you use to implement it?
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 # 24
What is the primary benefit of using the OCI Language service for text analysis?
Answer: D
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 # 25
What is the primary benefit of using Oracle Cloud Infrastructure Supercluster for AI workloads?
Answer: D
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 # 26
What key objective does machine learning strive to achieve?
Answer: A
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
Which is NOT a capability of OCI Vision ' s image analysis?
Answer: B
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 # 28
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