2.1 Recommend AI-powered Data Analytic Techniques to Meet Specific Needs or Answer Specific Questions 350-201 Practice Questions (Page 1)

Questions 1–5

1. 1foundation · easy

   Why is data normalization often performed before training an AI model?

   • ATo increase the number of data samples
   • BTo convert categorical data into numerical data
   • CTo remove duplicate records from the dataset
   • DTo ensure that all features contribute equally to the model's learning process
   Reveal Solution Discussion Select an answer first
2. 2expert · hard

   A security team wants to detect insider threats by monitoring user activity. They have historical data of normal user behavior, but they do not have labeled examples of insider threat actions. They also need to minimize false positives because the SOC is understaffed. Which approach should they take?

   • AUse clustering and treat all small clusters as anomalies
   • BUse regression to predict the risk score of each user
   • CUse unsupervised anomaly detection on user behavior and tune the threshold to reduce false positives
   • DUse supervised classification with a small labeled dataset of insider threats
   Reveal Solution Discussion Select an answer first
4. 3foundation · easy

   A security team wants to answer the question: 'Which of our users are exhibiting behavior that deviates from their normal pattern?' Which AI technique is most appropriate?

   • AClassification
   • BRegression analysis
   • CClustering
   • DAnomaly detection
   Reveal Solution Discussion Select an answer first
5. 4application · medium

   A security operations team wants to proactively search for signs of compromise in their environment without relying on predefined signatures. They have access to large volumes of endpoint telemetry and want to identify unusual patterns that might indicate a new attack. Which AI-powered technique should they recommend?

   • ARegression analysis to predict the number of alerts per day
   • BAnomaly detection on endpoint telemetry to find deviations from normal behavior
   • CTime-series analysis to forecast next week's resource usage
   • DGraph analytics to map the organizational hierarchy
   Reveal Solution Discussion Select an answer first
6. 5application · medium

   A network administrator wants to detect unusual behavior in user authentication patterns, such as logins from atypical locations or at unusual times. The company has no historical labels for what constitutes an attack. Which AI technique should be recommended to establish a baseline and flag deviations?

   • ASupervised classification with a labeled dataset of past attacks
   • BRegression analysis to predict the number of logins per day
   • CUnsupervised anomaly detection on login features such as time, location, and frequency
   • DGraph analytics to map relationships between users and devices
   Reveal Solution Discussion Select an answer first