Zscaler ZDTE Exam With Confidence Using Practice Dumps

In the Zscaler for Users – Engineer path, the Zscaler Cloud Firewall (Firewall Module in ZIA) is described as being built around four key engines. The training emphasizes that the firewall is not a single, monolithic filter but a set of parallel inspection engines that collectively provide advanced Layer 3/4 control, application and service awareness, DNS security, and inline threat prevention. These engines evaluate traffic simultaneously, and the most restrictive outcome is applied, aligning with Zscaler’s broader “parallel processing” model for policy enforcement.

The curriculum highlights that this multi-engine design allows Zscaler to go beyond traditional firewalls, combining user and application awareness with security controls such as IPS and DNS-based protection within the same cloud-native enforcement stack. Having four coordinated engines enables granular, identity-based firewall policies that work for users regardless of location, without the need for separate appliances. Options suggesting two, three, or five engines do not match the way the Firewall Module is presented in the ZDTE/EDU-202 materials. Therefore, the correct answer, and the number you are expected to know for the exam, is four.

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FIDO2 (Fast Identity Online 2) is a family of open authentication standards designed specifically to enable strong, phishing-resistant, passwordless authentication. It combines the WebAuthn standard (for browsers and web applications) with the CTAP protocol (for communicating with authenticators such as security keys). Vendors like Microsoft explicitly describe Windows Hello and FIDO2 security keys as passwordless sign-in mechanisms, and Yubico likewise highlights FIDO2 support on YubiKey devices for passwordless and multi-factor authentication.

Zscaler’s identity-related documentation and partner guides reference FIDO2 and passwordless methods such as Windows Hello for Business and FIDO2-based passkeys as modern options that integrate with identity providers (e.g., Microsoft Entra ID / Azure AD) and can be used for Zscaler authentication flows.

By contrast, SCIM is a provisioning standard for user and group lifecycle management, not an authentication protocol. OpenID (and OpenID Connect) and SAML are federation and SSO protocols that typically still rely on passwords or existing credentials at the identity provider, even though they may be used alongside MFA. Only FIDO2 is purpose-built for secure, hardware- or device-bound, passwordless authentication with biometrics or secure PINs, which is exactly what the question describes with examples like Windows Hello and YubiKey.

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ThreatParse is part of Zscaler’s advanced cyberthreat analysis capabilities, used primarily within Zscaler Deception and related SecOps workflows. Zscaler describes ThreatParse as an investigative engine that takes raw attack or event logs and “reconstructs” the attack sequence, summarizing what happened and translating the data into plain, human-readable language so even junior analysts can quickly understand the incident.

In addition, ThreatParse enriches these reconstructed attacks with structured information tied to the MITRE ATTandCK framework, including tactic and technique identifiers plus an associated risk score. This linkage helps analysts recognize why the attacker is performing certain actions (for example, credential access, lateral movement, or data exfiltration) rather than just what they did.

By combining natural-language reconstruction with MITRE ATTandCK context, ThreatParse effectively turns low-level events into a clear narrative aligned with attacker tactics and objectives. Analysts can quickly see which stage of the kill chain the adversary is in, the severity of the behavior, and which threats demand immediate attention. Options B and C are incorrect because ThreatParse does not perform financial-loss modeling or generic risk-management recommendations; option D is inaccurate because its primary value is narrative reconstruction plus ATTandCK mapping and risk scoring, not simply prioritizing logs by “latest campaign.”

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