1Z0-1122-25 EXAM DISCOUNT VOUCHER & 1Z0-1122-25 DISCOUNT CODE

1Z0-1122-25 Exam Discount Voucher & 1Z0-1122-25 Discount Code

1Z0-1122-25 Exam Discount Voucher & 1Z0-1122-25 Discount Code

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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 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.
Topic 4
  • Intro to ML Foundations: This section evaluates the knowledge of Machine Learning Engineers in understanding machine learning principles and methodologies. It explores the basics of supervised learning, focusing on regression and classification techniques, along with unsupervised learning methods such as clustering and anomaly detection. It also introduces reinforcement learning fundamentals, helping professionals grasp the different approaches used to train AI models.

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Oracle Cloud Infrastructure 2025 AI Foundations Associate Sample Questions (Q21-Q26):

NEW QUESTION # 21
What key objective does machine learning strive to achieve?

  • A. Improving computer hardware
  • B. Enabling computers to learn and improve from experience
  • C. Explicitly programming computers
  • D. Creating algorithms to solve complex problems

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 # 22
Which capability is supported by the Oracle Cloud Infrastructure Vision service?

  • A. Detecting vehicle number plates to issue speed citations
  • B. Detecting and preventing fraud in financial transactions
  • C. Analyzing historical data for unusual patterns
  • D. Generating realistic images from text

Answer: A

Explanation:
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.


NEW QUESTION # 23
How does Oracle Cloud Infrastructure Document Understanding service facilitate business processes?

  • A. By generating lifelike speech from documents
  • B. By automating data extraction from documents
  • C. By transcribing spoken language
  • D. By analyzing sentiment in text documents

Answer: B

Explanation:
Explanation:


NEW QUESTION # 24
In machine learning, what does the term "model training" mean?

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

Answer: D

Explanation:
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.


NEW QUESTION # 25
How does AI enhance human efforts?

  • A. By increasing the physical strength of humans
  • B. By processing data at a speed and effectiveness far beyond human capability
  • C. By completely replacing human workers in all tasks
  • D. By deleting data humans need to handle

Answer: B

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 # 26
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