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| Section | Weight | Objectives |
|---|---|---|
| OCI AI Portfolio | 15% | - Overview of OCI AI offerings
|
| Introduction to OCI AI Services | 20% | - OCI AI Service APIs
|
| OCI Generative AI and Oracle 23ai | 10% | - OCI Generative AI Service features
|
| AI Foundations | 10% | - Artificial Intelligence basics and terminology
|
| Generative AI and Large Language Models | 15% | - Generative AI concepts
|
| Deep Learning Foundations | 15% | - Deep Learning and neural networks
|
| Machine Learning Foundations | 15% | - Machine Learning fundamentals
|
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20. Frage
What is the main function of the hidden layers in an Artificial Neural Network (ANN) when recognizing handwritten digits?
Antwort: C
Begründung:
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.
21. Frage
What feature of OCI Data Science provides an interactive coding environment for building and training models?
Antwort: C
Begründung:
In OCI Data Science, Notebook sessions provide an interactive coding environment that is essential for building, training, and deploying machine learning models. These sessions allow data scientists to write and execute code in real time, offering a flexible environment for data exploration, model experimentation, and iterative development. The integration with various OCI services and support for popular machine learning frameworks further enhances the utility of Notebook sessions, making them a crucial tool in the data science workflow.
22. Frage
A customer feedback analysis team needs to extract insights from thousands of online product reviews. They want to determine whether customers express positive or negative opinions about different aspects of a product or service. Which feature of OCI Language is helpful?
Antwort: C
Begründung:
OCI Language provides pretrained natural language processing capabilities for analyzing unstructured text, including sentiment analysis. In this scenario, the requirement is specifically to determine whether customers express positive or negative opinions concerning individual aspects of a product or service. Oracle ' s OCI Language customer-feedback architecture describes extracting aspects from reviews and associating sentiments such as positive, negative, or neutral with those aspects. Oracle Docs Key phrase extraction identifies important topics or phrases, named entity recognition identifies entities such as organizations, people, or locations, and language detection determines the language in which content is written. None directly evaluates customer opinion. Sentiment analysis therefore precisely matches the business requirement because it transforms subjective review content into structured sentiment information that can be analyzed at scale.
23. Frage
How does Oracle Cloud Infrastructure Document Understanding service facilitate business processes?
Antwort: D
Begründung:
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.
24. Frage
Which capability is supported by the Oracle Cloud Infrastructure Vision service?
Antwort: A
Begründung:
The Oracle Cloud Infrastructure (OCI) Vision service is designed for image analysis tasks, which includes the capability to detect and recognize objects, such as vehicle number plates. This functionality is particularly useful for applications such as automated enforcement of traffic laws, where the system can identify vehicles exceeding speed limits and issue citations based on the detected number plates. This capability leverages advanced computer vision techniques to process and analyze visual data, making it suitable for applications in public safety, transportation, and law enforcement.
25. Frage
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