2.1 Recommend AI-powered Data Analytic Techniques to Meet Specific Needs or Answer Specific Questions 350-201 Practice Questions (Page 10)

Questions 46–50

1. 46foundation · easy

   Which security question is best answered using classification techniques?

   • AWhich network flows are similar to each other?
   • BIs this email phishing or legitimate?
   • CWhat is the typical login time for a user?
   • DHow many bytes of data will a server process next week?
   Reveal Solution Discussion Select an answer first
2. 47foundation · easy

   Which statement best describes the role of AI-powered data analytics in cybersecurity?

   • AIt provides automated detection and response without any human oversight.
   • BIt focuses only on post-incident forensic analysis.
   • CIt replaces the need for human security analysts entirely.
   • DIt enhances the ability to detect, investigate, and respond to threats by uncovering patterns in large datasets.
   Reveal Solution Discussion Select an answer first
4. 48application · medium

   During an incident response investigation, an analyst needs to understand how an attacker moved laterally from an initial compromised host to a domain controller. The team has authentication logs and process execution logs that show connections between hosts. Which AI-powered technique would best help visualize and analyze the attack path?

   • AGraph analytics to model hosts as nodes and authentication events as edges
   • BClustering hosts by the number of logins
   • CRegression analysis to predict the next compromised host
   • DTime-series analysis on login timestamps to find the order of events
   Reveal Solution Discussion Select an answer first
5. 49foundation · easy

   A security team has a dataset of network traffic with labels indicating whether each flow was malicious or benign. Which type of learning should they use to build a model that classifies new traffic?

   • AReinforcement learning
   • BSupervised learning
   • CSemi-supervised learning
   • DUnsupervised learning
   Reveal Solution Discussion Select an answer first
6. 50foundation · easy

   Why is explainability important when interpreting AI results in security operations?

   • AIt eliminates the need for human oversight.
   • BIt makes the model run faster.
   • CIt helps analysts trust the model and understand the reasons behind alerts.
   • DIt guarantees that the model is 100% accurate.
   Reveal Solution Discussion Select an answer first