Oracle 1z0-1122-26 dumps - in .pdf

1z0-1122-26 pdf
  • Exam Code: 1z0-1122-26
  • Exam Name: Oracle Cloud Infrastructure 2026 AI Foundations Associate
  • Updated: Sep 13, 2026
  • Q & A: 49 Questions and Answers
  • PDF Price: $59.99
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  • Exam Code: 1z0-1122-26
  • Exam Name: Oracle Cloud Infrastructure 2026 AI Foundations Associate
  • Updated: Sep 13, 2026
  • Q & A: 49 Questions and Answers
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1z0-1122-26 Testing Engine
  • Exam Code: 1z0-1122-26
  • Exam Name: Oracle Cloud Infrastructure 2026 AI Foundations Associate
  • Updated: Sep 13, 2026
  • Q & A: 49 Questions and Answers
  • Software Price: $59.99
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Oracle 1z0-1122-26 Exam Syllabus Topics:

SectionObjectives
Topic 1: Oracle AI and Machine Learning Services- OCI Machine Learning Services
  • 1. Machine learning capabilities in OCI
    • 2. OCI Data Science and machine learning workflows
      - Oracle AI Stack
      • 1. AI infrastructure
        • 2. AI data and machine learning services
          - OCI AI Services
          • 1. Vision
            • 2. Document Understanding
              • 3. Language
                • 4. Speech
                  Topic 2: OCI Generative AI and Oracle Database AI Capabilities- Oracle AI Database
                  • 1. AI capabilities in Oracle Database
                    • 2. Vector database concepts
                      - AI Application Frameworks
                      • 1. Retrieval and AI application concepts
                        • 2. Language frameworks
                          - OCI Generative AI
                          • 1. Generative AI models and applications
                            • 2. OCI Generative AI services
                              Topic 3: Artificial Intelligence and Machine Learning Fundamentals- Artificial Intelligence Concepts
                              • 1. AI fundamentals and terminology
                                • 2. AI use cases and applications
                                  - Machine Learning Fundamentals
                                  • 1. Machine learning models and architectures
                                    • 2. Supervised and unsupervised learning
                                      - Deep Learning Fundamentals
                                      • 1. Convolutional and sequence models
                                        • 2. Neural networks
                                          Topic 4: Generative AI and Large Language Models- Large Language Models
                                          • 1. LLM fundamentals
                                            • 2. Language models and generative AI applications
                                              - Generative AI Fundamentals
                                              • 1. Generative AI use cases
                                                • 2. Generative AI concepts and capabilities

                                                  Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions:

                                                  Question #1

                                                  What can Oracle Cloud Infrastructure Document Understanding NOT do?

                                                  • A. Extract tables from documents
                                                  • B. Extract text from documents
                                                  • C. Classify documents into different types
                                                  • D. Generate transcript from documents
                                                  Answer: D

                                                  Explanation: Only visible for TestPassKing members. You can sign-up / login (it's free).

                                                  Question #2

                                                  What is the key feature of Recurrent Neural Networks (RNNs)?

                                                  • A. They have a feedback loop that allows information to persist across different time steps.
                                                  • B. They are primarily used for image recognition tasks.
                                                  • C. They process data in parallel.
                                                  • D. They do not have an internal state.
                                                  Answer: A

                                                  Explanation: Only visible for TestPassKing members. You can sign-up / login (it's free).

                                                  Question #3

                                                  How is " Prompt Engineering " different from " Fine-tuning " in the context of Large Language Models (LLMs)?

                                                  • A. Prompt Engineering modifies training data, while Fine-tuning alters the model ' s structure.
                                                  • B. Both involve retraining the model, but Prompt Engineering does it more often.
                                                  • C. Prompt Engineering adjusts the model ' s parameters, while Fine-tuning crafts input prompts.
                                                  • D. Prompt Engineering creates input prompts, while Fine-tuning retrains the model on specific data.
                                                  Answer: D

                                                  Explanation: Only visible for TestPassKing members. You can sign-up / login (it's free).

                                                  Question #4

                                                  What is the difference between classification and regression in Supervised Machine Learning?

                                                  • A. Classification and regression both predict continuous values.
                                                  • B. Classification assigns data points to categories, whereas regression predicts continuous values.
                                                  • C. Classification and regression both assign data points to categories.
                                                  • D. Classification predicts continuous values, whereas regression assigns data points to categories.
                                                  Answer: B

                                                  Explanation: Only visible for TestPassKing members. You can sign-up / login (it's free).

                                                  Question #5

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

                                                  • A. Uses extensive data science experience to operate
                                                  • B. Provides timestamped, grammatically accurate transcriptions
                                                  • C. Transcribes audio and video files into text
                                                  • D. Supports multiple languages including English, Spanish, and Portuguese
                                                  Answer: A

                                                  Explanation: Only visible for TestPassKing members. You can sign-up / login (it's free).

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