NVIDIA NCA-AIIO - NCA - AI Infrastructure and Operations Exam
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Total 50 questions
Question #1 (Topic: Exam A)
A company is implementing a new network architecture and needs to consider the requirements and considerations for training and inference. Which of the following statements is true about training and inference architecture?
A. Training architecture and inference architecture have the same requirements and considerations.
B. Training architecture is only concerned with hardware requirements, while inference architecture is only concerned with software requirements.
C. Training architecture is focused on optimizing performance while inference architecture is focused on reducing latency.
D. Training architecture and inference architecture cannot be the same.
Answer: C
Question #2 (Topic: Exam A)
For which workloads is NVIDIA Merlin typically used?
A. Recommender systems
B. Natural language processing
C. Data analytics
Answer: A
Question #3 (Topic: Exam A)
Which NVIDIA parallel computing platform and programming model allows developers to program in popular languages and express parallelism through extensions?
A. CUDA
B. CUML
C. CUGRAPH
Answer: A
Question #4 (Topic: Exam A)
Which of the following aspects have led to an increase in the adoption of AI? (Choose two.)
A. Moore’s Law
B. Rule-based machine learning
C. High Powered GPUs
D. Large amounts of data
Answer: CD
Question #5 (Topic: Exam A)
In training and inference architecture requirements, what is the main difference between training and inference?
A. Training requires real-time processing, while inference requires large amounts of data.
B. Training requires large amounts of data, while inference requires real-time processing.
C. Training and inference both require large amounts of data.
D. Training and inference both require real-time processing.
Answer: B
