NVIDIA-Certified-Professional Accelerated Data Science NCP-ADS Certified Exam Dumps

NCP-ADS Exam Dumps

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Certification Provider: NVIDIA
Exam Code / Number: NCP-ADS
Exam Name: NVIDIA-Certified-Professional Accelerated Data Science
Exam Questions: 303
Last Updated: Sep 11, 2026
Corresponding Certification: NVIDIA-Certified Professional

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NVIDIA NCP-ADS Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Machine Learning15%- Model Development and Optimization
  • 1. Multi-GPU training comparison
    • 2. Feature engineering
      • 3. Memory optimization techniques (mixed precision, batching)
        • 4. Hyperparameter tuning
          Topic 2: Data Analysis14%- Exploratory Data Analysis (EDA)
          • 1. Perform time series analysis and visualization
            • 2. Detect anomalies in time series datasets
              • 3. Use cuGraph for graph analytics
                Topic 3: Data Preparation17%- Data Cleaning and Transformation
                • 1. Synthetic data generation with RAPIDS
                  • 2. cuDF and pandas data preprocessing
                    • 3. Data normalization and standardization
                      Topic 4: Data Manipulation and Software Literacy19%- ETL and Data Processing Workflows
                      • 1. Data caching and performance optimization
                        • 2. Distributed data processing frameworks (Dask)
                          • 3. GPU-accelerated ETL design and implementation
                            Topic 5: GPU and Cloud Computing16%- GPU Optimization and Infrastructure
                            • 1. CRISP-DM workflow execution
                              • 2. Benchmarking GPU workflows
                                • 3. Docker and Conda environment management
                                  Topic 6: MLOps19%- Deployment and Monitoring
                                  • 1. Model deployment in production environments
                                    • 2. Memory and capacity evaluation
                                      • 3. Performance benchmarking and optimization


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