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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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The **Post-Test for Section 5: AI Hardware Resources** in the **AI Solutions on Cisco Infrastructure Essentials (DCAIE)** course is designed to assess learners' understanding of AI-specific hardware components and their role in optimizing AI workloads on Cisco infrastructure. This evaluation ensures mastery of key concepts related to AI hardware, performance tuning, and resource management. ### **Key Features:** - **Comprehensive AI Hardware Assessment** – Tests knowledge of GPUs, TPUs, FPGAs, and specialized AI accelerators used in Cisco environments. - **Real-World Scenario Questions** – Evaluates practical applications of AI hardware selection, workload distribution, and system optimization. - **Performance & Scalability Focus** – Assesses understanding of how AI models interact with hardware resources for efficiency and scalability. - **Detailed Answer Explanations** – Provides rationales for each response to reinforce learning and clarify complex topics. - **Essential for AI & IT Professionals** – Helps learners validate their expertise in integrating AI solutions with Cisco infrastructure. This post-test serves as a critical checkpoint for students and professionals looking to solidify their knowledge of AI hardware in Cisco’s ecosystem and prepare for real-world AI deployments.

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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

,Created by FutureBright

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

, Created by FutureBright



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.)

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Writing and Academics I offer a full range of online academic services aimed to students who need support with their academics. Whether you need tutoring, help with homework, paper writing, or proofreading, I am here to help you reach your academic goals. My experience spans a wide range of disciplines. I provide different Exams Questions with fly verified answers, textbooks like biology, chemistry, nursing medical books and many more with a very reasonable cost and also provide books in a package deal.

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