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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5.
Which two environments require ULL? (Choose two.)
collaboration tools
cloud storage
data backup
general business applications
x high-frequency financial trading
x high-performance computing
video conferencing
6.
Which SmartNIC type is limited to predefined hardware capabilities?
x ASIC-based
FPGA-based
GPU-based
SoC-based
The correct answer is ASIC-based. SmartNICs that use dedicated ASIC typically
offer the best price performance and some flexibility, but they are limited to the
predefined capabilities of the integrated circuits.
7.
Which two features are associated with SmartNICs? (Choose two.)