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Test Bank for AI Solutions on Cisco Infrastructure Essentials | DCAIE :section 5: Post-Test AI Hardware Resources POSTTEST section 5

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Test Bank for AI
Solutions on Cisco
Infrastructure
Essentials | DCAIE :
section 5: Post-Test
AI Hardware
Resources POST-
TEST section 5




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AI Solutions on Cisco Infrastructure Essentials | DCAIE : section 5:
Post-Test
AI Hardware Resources
POST-TEST section 5




1.

Which hardware component is specialized for parallel processing and is ideal for
deep learning tasks?


CPU
DPU
x GPU
SmartNIC
Architecture of a GPU is ideal for AI tasks, especially deep learning tasks, because
deep learning workloads are usually embarrassingly parallel.


2.

What is the primary advantage of using a discrete GPU over an integrated GPU?


x higher performance for resource-intensive applications
lower power consumption
reduced heat generation
smaller physical size




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A discrete GPU has a significant performance advantage for more
resource-intensive applications with extensive performance demands, such as
those with many parallel tasks. Discrete GPUs add processing power


3.

Which NVIDIA GPU model supports up to four MIG instances?


A100
x A30
GeForce
H100
MIG feature on A30 allows GPUs to be securely partitioned into up to four
separate GPU Instances for CUDA applications, providing multiple users with
separate GPU resources for optimal GPU utilization.


4.

Which two characteristics are associated with a DPU? (Choose two.)


x programmable processors combined with hardware acceleration
contains thousands of smaller, efficient cores
executes arithmetic and other instructions
high-bandwidth memory
high clock speeds
optimized for single-threaded performance
x specialized for data-centric tasks




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