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1Z0-1122-25 Ressourcen Prüfung - 1Z0-1122-25 Prüfungsguide & 1Z0-1122-25 Beste Fragen

Konfrontieren Sie sich in Ihrer Karriere mit Herausforderung? Wollen Sie anderen Ihre Fähigkeit zeigen? Wollen Sie mehr Chancen Ihre Arbeitsstelle erhöhen? Nehmen Sie bitte an IT-Zertifizierungsprüfungen teil. Die Oracle Zertifizierungsprüfungen sind sehr wichtig in IT-Industrie. Wenn Sie Oracle Zertifizierung besitzen, können Sie viele Hilfen bekommen. Beginnen Sie bitte mit der Oracle 1Z0-1122-25 Zertifizierungsprüfung, weil die sehr wichtig in Oracle ist. Und Wie können Sie diese Prüfung einfach bestehen? Die ZertSoft Prüfungsunterlagen können Ihren Wunsch erreichen.

Oracle 1Z0-1122-25 Prüfungsplan:

Thema
Einzelheiten

Thema 1

Intro to AI Foundations: This section of the exam measures the skills of AI Practitioners and Data Analysts in understanding the fundamentals of artificial intelligence. It covers key concepts, AI applications across industries, and the types of data used in AI models. It also explains the differences between artificial intelligence, machine learning, and deep learning, providing clarity on how these technologies interact and complement each other.

Thema 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.

Thema 3

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.

Thema 4

Intro to Generative AI & LLMs: This section tests the abilities of AI Developers to understand generative AI and large language models. It introduces the principles of generative AI, explains the fundamentals of large language models (LLMs), and discusses the core workings of transformers, prompt engineering, instruction tuning, and LLM fine-tuning for optimizing AI-generated content.

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Oracle Cloud Infrastructure 2025 AI Foundations Associate 1Z0-1122-25 Prüfungsfragen mit Lösungen (Q36-Q41):

36. Frage
What is the main function of the hidden layers in an Artificial Neural Network (ANN) when recognizing handwritten digits?

A. Directly predicting the final output
B. Providing labels for the output neurons
C. Capturing the internal representation of the raw image data
D. Storing the input pixel values

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.

37. Frage
Which capability is supported by Oracle Cloud Infrastructure Language service?

A. Converting text into images
B. Analyzing text to extract structured information like sentiment or entities
C. Translating text into speech
D. Detecting objects and scenes in images

Antwort: B

Begründung:
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.

38. Frage
Which feature is NOT supported as part of the OCI Language service's pretrained language processing capabilities?

A. Sentiment Analysis
B. Language Detection
C. Text Generation
D. Text Classification

Antwort: C

Begründung:
The OCI Language service offers several pretrained language processing capabilities, including Text Classification, Sentiment Analysis, and Language Detection. However, it does not natively support Text Generation as a part of its core language processing capabilities. Text Generation typically involves creating new content based on input prompts, which is a feature more commonly associated with models specifically designed for natural language generation.

39. Frage
In machine learning, what does the term "model training" mean?

A. Analyzing the accuracy of a trained model
B. Establishing a relationship between input features and output
C. Performing data analysis on collected and labeled data
D. Writing code for the entire program

Antwort: B

Begründung:
In machine learning, "model training" refers to the process of teaching a model to make predictions or decisions by learning the relationships between input features and the corresponding output. During training, the model is fed a large dataset where the inputs are paired with known outputs (labels). The model adjusts its internal parameters to minimize the error between its predictions and the actual outputs. Over time, the model learns to generalize from the training data to make accurate predictions on new, unseen data.

40. Frage
Which is NOT a category of pretrained foundational models available in the OCI Generative AI service?

A. Chat models
B. Translation models
C. Generation models
D. Embedding models

Antwort: B

Begründung:
The OCI Generative AI service offers various categories of pretrained foundational models, including Embedding models, Chat models, and Generation models. These models are designed to perform a wide range of tasks, such as generating text, answering questions, and providing contextual embeddings. However, Translation models, which are typically used for converting text from one language to another, are not a category available in the OCI Generative AI service's current offerings. The focus of the OCI Generative AI service is more aligned with tasks related to text generation, chat interactions, and embedding generation rather than direct language translation.

41. Frage
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