NVIDIA Certified Professional - Accelerated Data Science
Validates professional-level proficiency in leveraging GPU-accelerated tools and libraries for advanced data science workflows, including data analysis with anomaly detection and time-series analysis, data manipulation and software literacy with ETL and distributed processing, data preparation with cuDF cleansing and synthetic data generation, GPU and cloud computing optimization, machine learning with feature engineering and multi-GPU training, and MLOps practices for benchmarking, memory optimization, and model deployment. The exam covers six domains: Data Manipulation and Software Literacy (19%), MLOps (19%), Data Preparation (17%), GPU and Cloud Computing (16%), Machine Learning (15%), and Data Analysis (14%). Format: 60-70 multiple-choice questions, 120 minutes, proctored online.
Exam domains
- MLOps19%
Operationalising RAPIDS models on Triton Inference Server with the FIL backend for XGBoost/cuML forests plus ONNX/TensorRT backends, dynamic batching, ensembles, NIM microservices, GPU Operator on Kubernetes, Prometheus metrics on :8002, and drift/latency monitoring.
- Data manipulation and software literacy19%
Production wrangling at TB scale with Dask-cuDF partitioned frames, the cudf.pandas zero-code accelerator, and the Polars GPU engine. Covers nested list/struct types, Numba UDFs, DLPack/CUDA Array Interface zero-copy with CuPy and PyTorch, and RMM pool sizing.
- Data preparation17%
Large-scale accelerated ETL with cuDF + Dask-cuDF: Parquet/ORC ingest, GPUDirect Storage via KvikIO, NCCL-backed explicit-comms shuffles, jit-unspill host spilling, and the RAPIDS Accelerator for Apache Spark for petabyte feature pipelines and encoded train sets.
- GPU and cloud computing16%
Multi-GPU/multi-node scaling with dask-cuda LocalCUDACluster, UCX-py over NVLink/InfiniBand, NCCL collectives, and RMM pool allocators. Covers NGC images, the GPU Operator on Kubernetes, AWS/Azure/GCP/Databricks deployments, MIG partitioning, and nvidia-smi nvlink checks.
Sources
Questions are grounded in 50 references from official and authoritative materials.