300-445 exam dumps

300-445 practice question 60 of 255

Designing and Implementing Enterprise Network Assurance. Professional level, Cisco. Free question with the correct answer and a full explanation.

300-445 Question 60

Select 3

An enterprise network engineer is tasked with setting a metric baseline for a critical application to monitor its performance over time. What steps should they follow to ensure the baseline is accurate and useful for future anomaly detection?

  1. A

    Collect performance metrics over a representative time period.

  2. B

    Use only peak traffic periods to define the baseline metrics.

  3. C

    Exclude outliers and abnormal traffic patterns from the dataset.

  4. D

    Analyze metrics across different time frames (e.g., daily, weekly, monthly).

  5. E

    Manually adjust the baseline to match expected future traffic trends.

Show answer and explanation

Correct answers: A, C, D

Explanation

Setting a metric baseline involves collecting and analyzing performance metrics over a representative time period, removing outliers, and considering patterns across different time frames. These steps ensure the baseline is an accurate representation of normal network behavior, which is essential for detecting anomalies and maintaining network assurance.

  • A. Correct.

    Collecting performance metrics over a representative time period ensures that the baseline reflects typical network behavior across varying load conditions, making it a critical step.

  • B. Incorrect.

    Using only peak traffic periods would skew the baseline towards high-load conditions, which does not provide an accurate representation of normal performance for anomaly detection.

  • C. Correct.

    Excluding outliers and abnormal traffic patterns helps create a clean dataset, ensuring the baseline reflects typical network behavior rather than transient anomalies.

  • D. Correct.

    Analyzing metrics across different time frames provides a comprehensive view of network performance, making the baseline more robust and applicable to various scenarios.

  • E. Incorrect.

    Manually adjusting the baseline to match expected trends introduces subjective bias and undermines the reliability of the baseline for anomaly detection.

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