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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Machine Learning Foundations | 15% | - Machine Learning fundamentals
|
| Topic 2: Deep Learning Foundations | 15% | - Deep Learning and neural networks
|
| Topic 3: AI Foundations | 10% | - Artificial Intelligence basics and terminology
|
| Topic 4: Generative AI and Large Language Models | 15% | - Generative AI concepts
|
| Topic 5: OCI AI Portfolio | 15% | - Overview of OCI AI offerings
|
| Topic 6: Introduction to OCI AI Services | 20% | - OCI AI Service APIs
|
| Topic 7: OCI Generative AI and Oracle 23ai | 10% | - OCI Generative AI Service features
|
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NEW QUESTION # 11
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 # 12
What is the primary benefit of using the OCI Language service for text analysis?
Answer: B
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 # 13
How does AI enhance human efforts?
Answer: A
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 # 14
Which capability is supported by Oracle Cloud Infrastructure Language service?
Answer: A
Explanation:
Oracle Cloud Infrastructure (OCI) Language service is specifically designed to analyze text and extract structured information such as sentiment, entities, key phrases, and language detection. This service provides natural language processing (NLP) capabilities that help users gain insights from unstructured text data. By identifying the sentiment (positive, negative, neutral) and recognizing entities (like names, dates, or places), the service enables businesses to process large volumes of text data efficiently, aiding in decision-making processes.
NEW QUESTION # 15
What key objective does machine learning strive to achieve?
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 # 16
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