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Guide for NVIDIA-Certified Professional: AI Infrastructure (NCP-AII)

Quiz NVIDIA-Certified Professional: AI Infrastructure (NCP-AII)

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Quiz

1/10
Deep Learning and AI Infrastructure Fundamentals
Which component is most crucial for accelerating deep learning model training in AI infrastructure?
Select the answer
1 correct answer
A.
GPU
B.
CPU
C.
TPU
D.
FPGA

Quiz

2/10
NVIDIA GPU Architecture and Technologies
Which NVIDIA GPU component is primarily responsible for executing parallel threads in a highly efficient manner?
Select the answer
1 correct answer
A.
Streaming Multiprocessors
B.
RT Cores
C.
Tensor Cores
D.
Dedicated Graphics Memory

Quiz

3/10
NVIDIA Software Stack for AI (cuDNN, TensorRT, etc.)
Which NVIDIA library is specifically designed to accelerate deep neural network operations by providing GPU-optimized building blocks for deep learning frameworks?
Select the answer
1 correct answer
A.
cuBLAS
B.
cuDNN
C.
NCCL
D.
TensorRT

Quiz

4/10
Performance Tuning and Profiling for AI Workloads
Which NVIDIA tool is best suited for providing a system-wide performance overview to identify bottlenecks in GPU-accelerated AI workloads?
Select the answer
1 correct answer
A.
Nsight Systems
B.
Nsight Compute
C.
Visual Profiler
D.
CUPTI

Quiz

5/10
CUDA Programming and Optimization
What is the key principle behind memory coalescing in CUDA to optimize global memory access?
Select the answer
1 correct answer
A.
Threads in the same warp must access contiguous addresses
B.
Threads in the same warp can access random memory addresses
C.
Each thread should access a unique memory bank
D.
The memory accesses are automatically optimized by the hardware

Quiz

6/10
AI Model Deployment and Inference Optimization
Which technique is used to reduce the numerical precision of a deep learning model for faster inference while maintaining accuracy?
Select the answer
1 correct answer
A.
FP16 optimization
B.
INT8 quantization
C.
Model parallelism
D.
Batch normalization

Quiz

7/10
Integration of Deep Learning Frameworks
Which method is commonly used to convert a trained deep learning model from TensorFlow to an NVIDIA-optimized inference format?
Select the answer
1 correct answer
A.
Using ONNX as an intermediate representation
B.
Exporting directly to TensorRT
C.
Manually rewriting the layers
D.
Re-training the model on NVIDIA hardware

Quiz

8/10
NVIDIA Data Center Solutions and GPU Virtualization
Which feature of NVIDIA vComputeServer enables efficient resource usage in a multi-tenant data center environment?
Select the answer
1 correct answer
A.
GPU virtualization to allow multiple virtual machines to share a single GPU resource
B.
Dedicated GPU pass-through to assign an entire GPU to only one virtual machine
C.
Centralized management of physical GPU clusters without virtualization
D.
Integration with standard CPU-based virtualization technology only

Quiz

9/10
Containerization and Orchestration for AI Deployments
What is the primary benefit of using containerization in AI deployments?
Select the answer
1 correct answer
A.
Simplified dependency management
B.
Isolation and consistency across environments
C.
Accelerated development cycles
D.
Enhanced security through separation

Quiz

10/10
Multi-GPU Systems and Clustered Computing
Which of the following techniques is most effective for dynamically distributing workloads across multiple GPUs in a clustered computing environment?
Select the answer
1 correct answer
A.
Static partitioning of tasks
B.
Dynamic scheduling based on real-time performance metrics
C.
Random assignment of tasks
D.
Over-provisioning GPUs with redundant tasks
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  • Quiz name:NVIDIA-Certified Professional: AI Infrastructure (NCP-AII)
  • Total number of questions:331
  • Number of questions for the test:50
  • Pass score:80%

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