Machine Learning JN0-253 Practice Questions (Page 5)

Questions 21–25

1. 21foundation · easy

   Which capability is a key enabler of the self-driving network capabilities in Juniper Mist?

   • AThe requirement for all network devices to be from a single vendor
   • BThe use of static, pre-configured scripts for all troubleshooting
   • CThe ability to learn from past incidents and apply that knowledge to future situations
   • DThe need for administrators to manually define every possible network failure scenario
   Reveal Solution Discussion Select an answer first
2. 22application · medium

   A network administrator is investigating a wireless issue where a specific client is experiencing intermittent connectivity. They suspect the problem may be related to a specific application or protocol. Which Mist AI feature would be most useful to automatically capture relevant packets for this investigation?

   • ADynamic packet capture, which can be triggered by ML-detected anomalies or manually for a specific client.
   • BThe anomaly detection feature, which will alert the admin to the issue.
   • CThe predictive analytics feature, which can forecast future connectivity issues.
   • DThe virtual assistant, which can provide a summary of the client's connection history.
   Reveal Solution Discussion Select an answer first
4. 23expert · hard

   A network architect is evaluating whether to trust Mist's machine learning recommendations for network changes. They are concerned about the 'black box' nature of ML and want to ensure that recommendations are explainable. What is the best way to address this concern?

   • AImplement all recommendations without question to maximize the benefits of ML.
   • BReview the supporting data and insights that Mist provides for each recommendation.
   • CDisable ML-based recommendations and rely on manual analysis.
   • DRequest that Mist provide the raw training data for each recommendation.
   Reveal Solution Discussion Select an answer first
5. 24expert · hard

   A network manager is considering implementing Mist's self-driving network features to automate responses to common issues. However, they are concerned about the risk of automated actions causing unintended disruptions. What is the best way to mitigate this risk?

   • ADisable all automated actions and rely on manual troubleshooting.
   • BConfigure automated actions to require approval for high-impact changes, while allowing low-risk actions to run automatically.
   • CEnable automated actions for all issues to maximize efficiency.
   • DUse a third-party automation tool that is separate from Mist.
   Reveal Solution Discussion Select an answer first
6. 25application · medium

   A network administrator is configuring Mist to help users resolve common connectivity issues without opening a ticket. They want to leverage Mist's machine learning capabilities to provide automated assistance. Which Mist feature should they enable?

   • ADynamic packet capture, which can capture packets for troubleshooting.
   • BThe virtual assistant, which uses ML to answer user queries and provide guidance.
   • CAnomaly detection, which alerts administrators to issues.
   • DPredictive analytics, which forecasts future issues.
   Reveal Solution Discussion Select an answer first