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Oracle 1Z1-1170 Exam Syllabus Topics:

Section	Objectives
Model Development and Training	- Model architecture and training basics 1. Model construction concepts 2. Training objectives and loss functions - Pre-training and fine-tuning 1. Fine-tuning methods 2. Pre-training workflow
Model Inference, Deployment, and Application	- Inference and service deployment 1. Model inference workflow 2. Cloud, edge, and device deployment - Application integration and validation 1. Application scenario integration 2. Testing, verification, and release
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. Framework migration and adaptation 2. Ascend compatibility and conversion - Operator development and performance tuning 1. Operator implementation basics 2. Performance profiling and optimization
Data Preparation and Governance	- Data labeling and quality management 1. Annotation methods and standards 2. Dataset quality control - Data collection and preprocessing 1. Feature preparation and transformation 2. Data ingestion and cleaning

Oracle Linux Virtualization Manager Associate Sample Questions:

Question #1

What is a risk of aggressive memory overcommit without proper monitoring?

A. Host memory pressure and VM performance degradation
B. Permanent disabling of host fencing
C. Improved performance in every case
D. Automatic elimination of all storage bottlenecks

Reveal Solution Discussion 0

Correct Answer: A 🗳️