NCA-AIIO exam dumps

NCA-AIIO practice question 81 of 119

NVIDIA-Certified Associate - AI Infrastructure and Operations. Free level, NVIDIA. Free question with the correct answer and a full explanation.

NCA-AIIO Question 81

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You are an AI infrastructure specialist tasked with presenting the results of a GPU utilization analysis for a high-performance AI training cluster. The dataset includes time-series data on GPU usage, memory allocation, and temperature metrics for each node. Which visualization or combination of visualizations is most appropriate to effectively convey the trends and correlations in the data to a technical audience?

  1. A

    Line charts for time-series GPU utilization and memory allocation, combined with scatter plots for temperature vs. GPU usage correlation.

  2. B

    Bar charts to represent GPU utilization across different time intervals.

  3. C

    Pie charts to showcase memory allocation percentages for each GPU node at a single snapshot in time.

  4. D

    Heatmaps to represent GPU utilization across nodes over time.

  5. E

    Area charts to show cumulative GPU utilization trends.

Show answer and explanation

Correct answers: A, D

Explanation

The combination of line charts and scatter plots provides a clear representation of time-series trends and correlations, which are crucial for analyzing GPU utilization and its relationship with other metrics like temperature. Heatmaps are also effective for visualizing multi-dimensional data such as GPU utilization across nodes over time, making these two visualizations the best choice for the technical audience.

  • A. Correct.

    Line charts are an excellent choice for time-series data as they clearly show trends over time. Scatter plots can effectively represent correlations between two variables, such as temperature and GPU usage.

  • B. Incorrect.

    Bar charts are not ideal for time-series data as they are better suited for discrete comparisons rather than continuous trends.

  • C. Incorrect.

    Pie charts are generally not suitable for this scenario as they are limited to showing proportions at a single point in time and do not convey trends or correlations effectively.

  • D. Correct.

    Heatmaps are a powerful tool for visualizing large-scale data across multiple dimensions, such as GPU utilization across nodes over time, making them suitable for this use case.

  • E. Incorrect.

    Area charts are better suited for cumulative data but lack the granularity to showcase individual trends, correlations, or comparisons effectively in this scenario.

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