Updated Jan 07, 2026 Test Engine to Practice Test for 1Z0-1122-25 Valid and Updated Dumps [Q17-Q37]

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Updated Jan 07, 2026 Test Engine to Practice Test for 1Z0-1122-25 Valid and Updated Dumps

Exam Questions for 1Z0-1122-25 Updated Versions With Test Engine

Q17. Which feature is NOT available as part of OCI Speech capabilities?

 
 
 
 

Q18. What are Convolutional Neural Networks (CNNs) primarily used for?

 
 
 
 

Q19. What distinguishes Generative AI from other types of AI?

 
 
 
 

Q20. What feature of OCI Data Science provides an interactive coding environment for building and training models?

 
 
 
 

Q21. Which AI domain can be employed for identifying patterns in images and extract relevant features?

 
 
 
 

Q22. Which AI domain is associated with tasks such as identifying the sentiment of text and translating text between languages?

 
 
 
 

Q23. Which is NOT a capability of OCI Vision’s image analysis?

 
 
 
 

Q24. What does “fine-tuning” refer to in the context of OCI Generative AI service?

 
 
 
 

Q25. What is the main function of the hidden layers in an Artificial Neural Network (ANN) when recognizing handwritten digits?

 
 
 
 

Q26. Which AI Ethics principle leads to the Responsible AI requirement of transparency?

 
 
 
 

Q27. What would you use Oracle AI Vector Search for?

 
 
 
 

Q28. You are working on a multilingual public announcement system. Which AI task will you use to implement it?

 
 
 
 

Q29. What is “in-context learning” in the realm of Large Language Models (LLMs)?

 
 
 
 

Q30. Which is NOT a category of pretrained foundational models available in the OCI Generative AI service?

 
 
 
 

Q31. How do Large Language Models (LLMs) handle the trade-off between model size, data quality, data size and performance?

 
 
 
 

Q32. What key objective does machine learning strive to achieve?

 
 
 
 

Q33. You are part of the medical transcription team and need to automate transcription tasks. Which OCI AI service are you most likely to use?

 
 
 
 

Oracle 1Z0-1122-25 Exam Syllabus Topics:

Topic Details
Topic 1
  • 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.
Topic 2
  • Get started with OCI AI Portfolio: This section measures the proficiency of Cloud AI Specialists in exploring Oracle Cloud Infrastructure (OCI) AI services. It provides an overview of OCI AI and machine learning services, details AI infrastructure capabilities and explains responsible AI principles to ensure ethical and transparent AI development.
Topic 3
  • 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.
Topic 4
  • 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.

 

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Related Links: www.slideshare.net ronorp.net myportal.utt.edu.tt myportal.utt.edu.tt www.flirtic.com myportal.utt.edu.tt

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