Last Attempt ZDTA Questions

The Deception feature in Zscaler detects intruders attempting to access internal resources by deploying deceptive assets or traps that identify unauthorized or suspicious activity. This proactive approach to threat detection helps identify attackers who have bypassed other defenses.

The primary role of Sandbox functionality is to detect and analyze zero‑day and other unknown threats by executing suspicious files in an isolated environment before they reach users.

The DLP (Data Loss Prevention) Engine in Zscaler consists of DLP Dictionaries. These dictionaries contain the sensitive data patterns, keywords, and identifiers used to detect sensitive information in network traffic. They serve as the foundation for defining what content should be inspected and protected.

While DLP policies and rules govern how the engine acts, the engine itself fundamentally depends on these dictionaries to identify sensitive data accurately. The study guide states that DLP Dictionaries are key components that power the detection capabilities within the engine.