Question 1

When extracting insights from large datasets using data mining and data visualization techniques, which of the following practices is most critical to ensure accurate and actionable results?

Options :

A : Using complex algorithms with the highest computational cost.

B : Ensuring the data is cleaned and pre-processed appropriately.

C : Visualizing all possible data points in a single chart.

D : Maximizing the size of the dataset used for training models.

Answer: B

Question 2

Which of the following factors has most significantly contributed to the recent rapid improvements and widespread adoption of AI?

Options :

A : The invention of new AI programming languages.

B : The rise of social media, increasing the need for AI.

C : Increased computational power, especially with the advent of modern GPUs and specialized AI hardware.

D : The global standardization of AI ethics guidelines.

Answer: C

Question 3

You are responsible for optimizing the energy efficiency of an AI data center that handles both training and inference workloads. Recently, you have noticed that energy costs are rising, particularly during peak hours, but performance requirements are not being met. Which approach would best optimize energy usage while maintaining performance levels?

Options :

A : Transition all workloads to CPUs during peak hours to reduce GPU power consumption.

B : Use liquid cooling to lower the temperature of GPUs and reduce their energy consumption.

C : Implement a workload scheduling system that shifts non-urgent training jobs to off-peak hours.

D : Lower the power limit on all GPUs to reduce their maximum energy consumption during all operations.

Answer: C

Question 4

In a data center designed for AI workloads, what is a key difference in how GPUs and DPUs complement CPU functionality?

Options :

A :

GPUs and DPUs are used interchangeably, depending on the specific AI workload, without any significant difference in function.

B :

GPUs focus on memory management, whereas DPUs focus on accelerating storage throughput for CPUs.

C :

GPUs enhance floating-point computation, while DPUs enhance integer computation, both directly supporting CPU tasks.

D :

GPUs are designed for parallel processing of AI models, while DPUs manage data center networking and security tasks to offload CPUs.

Answer: D

Question 5

You are working on deploying a deep learning model that requires significant GPU resources across multiple nodes. You need to ensure that the model training is scalable, with efficient data transfer between the nodes to minimize latency. Which of the following networking technologies is most suitable for this scenario?

Options :

A : Ethernet (1 Gbps)

B : Fiber Channel

C : InfiniBand

D : Wi-Fi 6

Answer: C

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