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Graphics Processing Unit (GPU)

5 minutes 5 Questions

A Graphics Processing Unit (GPU) is a specialized electronic circuit designed to accelerate the rendering of images and video. It is crucial for handling the complex calculations involved in displaying high-quality graphics, especially in gaming and graphics-intensive applications. GPUs can be inte…

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CompTIA A+ - Graphics Processing Unit (GPU) Example Questions

Test your knowledge of Graphics Processing Unit (GPU)

Question 1

Which feature of modern GPUs allows for improved performance in AI and machine learning tasks?

Correct Answer: Tensor cores

The correct answer is 'Tensor cores'.

Tensor cores are specialized processing units designed specifically for AI and machine learning tasks. They are optimized for matrix multiplication and other operations commonly used in deep learning algorithms, which significantly improves performance in these applications.

The other options are not specifically designed for AI and machine learning tasks:

Ray tracing units are primarily used for rendering realistic lighting and reflections in computer graphics, not for AI computations.

Shader processors are general-purpose units used for various graphics calculations, but they are not optimized for AI workloads.

Rasterization engines are responsible for converting vector graphics into pixel-based images, which is not directly related to AI and machine learning performance.

Question 2

A user is getting a black screen after installing their new GPU and powering on their computer. What should be done to resolve this?

Correct Answer: Connect the monitor to the new GPU instead of the onboard graphics

Ensure the monitor is connected to the new GPU, not the onboard graphics or previous GPU, as it is a common mistake leading to a black screen. Other options are unnecessary or unrelated to the issue.

Question 3

An animator's GPU temperatures are too high during rendering. What should be checked first to resolve the issue?

Correct Answer: Ensure proper airflow in the case

When experiencing high GPU temperatures during rendering, the first thing to check is the airflow within the computer case. Proper airflow is crucial for efficient heat dissipation. Ensuring that the case has adequate intake and exhaust fans, and that they are functioning correctly, can help reduce GPU temperatures. Upgrading the GPU or CPU, or replacing the GPU thermal paste, may be necessary steps if the issue persists after optimizing airflow, but these should not be the first troubleshooting measures.

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