Oracle 1Z1-1170 Exam Information and Actual Questions

  • Exam Code/Number: 1Z1-1170
  • Exam Name/Title: Oracle Linux Virtualization Manager Associate
  • Certification Provider: Oracle
  • Corresponding Certification: Oracle Cloud
  • Exam Questions: 180
  • Updated On: Sep 09, 2026

1Z1-1170
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Oracle
1Z1-1170 Exam
Oracle Linux Virtualization Manager Associate

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Oracle 1Z1-1170 Exam Overview:

Certification Vendor:Huawei
Exam Name:HCIE-AI Developer V1.0
Exam Number:H13-336_V1.0
Exam Format:True or false, Drag and drop, Short-answer questions, Multiple-answer questions, Single-answer questions
Exam Price:USD300
Exam Duration:90 minutes
Certificate Validity Period:3 years
Passing Score:600/1000
Related Certifications:HCIA-AI
HCIP-AI EI Developer
Available Languages:Chinese, English
Sample Questions:Oracle 1Z1-1170 Sample Questions
Exam Way:Computer-based written exam scheduled through Pearson VUE.
Pre Condition:No explicit prerequisite was found in the indexed official Huawei sources. As an HCIE-level certification, it is intended for experienced AI practitioners and is commonly aligned with prior AI foundation and developer-level knowledge.
Official Syllabus URL:https://e.huawei.com/cn/talent/cert/

Oracle 1Z1-1170 Exam Syllabus Topics:

SectionObjectives
Model Development and Training- Model architecture and training basics
  • 1. Training objectives and loss functions
    • 2. Model construction concepts
      - Pre-training and fine-tuning
      • 1. Pre-training workflow
        • 2. Fine-tuning methods
          Model Inference, Deployment, and Application- Application integration and validation
          • 1. Testing, verification, and release
            • 2. Application scenario integration
              - Inference and service deployment
              • 1. Cloud, edge, and device deployment
                • 2. Model inference workflow
                  AI Foundations and Huawei AI Ecosystem- Artificial intelligence concepts and development workflow
                  • 1. AI development principles
                    • 2. AI application lifecycle
                      - Huawei AI strategy and platforms
                      • 1. MindSpore, ModelArts, and Atlas ecosystem
                        • 2. Huawei full-stack AI strategy
                          Model Migration, Operator Development, and Optimization- Model migration to Huawei AI platforms
                          • 1. Ascend compatibility and conversion
                            • 2. Framework migration and adaptation
                              - Operator development and performance tuning
                              • 1. Performance profiling and optimization
                                • 2. Operator implementation basics
                                  Data Preparation and Governance- Data collection and preprocessing
                                  • 1. Data ingestion and cleaning
                                    • 2. Feature preparation and transformation
                                      - Data labeling and quality management
                                      • 1. Dataset quality control
                                        • 2. Annotation methods and standards


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