Zscaler Digital Transformation Administrator
Verified Multiple Choice and Conceptual Actual
Emended Exam Questions With Reviewed 100%
Correct Detailed Answers
Guaranteed Pass!!Current Update
1. What is the Zscaler Cloud Firewall?
A cloud-native, stateful firewall service that enforces Layer 3–7 security
policies across user and branch traffic without on-prem appliances.
2. How does Zscaler Cloud Firewall differ from traditional firewalls?
It is delivered as a service from the Zscaler Zero Trust Exchange, with
centralized policy management, no hardware, and native scalability across all
users and locations.
3. What types of traffic can Zscaler Cloud Firewall inspect?
Outbound, inbound (via service edges), cross-VPC/VNet, and east-west traffic
in some configurations.
4. What protocol layers does Zscaler Cloud Firewall support?
Layer 3 (IP), Layer 4 (port-based), and Layer 7 (application-level) traffic.
5. How are firewall rules created in Zscaler?
Through policy rules configured in the ZIA Admin Portal, specifying
source/destination IPs, ports, protocols, users, locations, and actions (allow/deny).
,6. How does Zscaler determine the identity of a user for firewall enforcement?
Through integration with identity providers (IdPs) using SAML or SCIM, and
user context from Zscaler Client Connector.
7. What is the purpose of the Advanced Cloud Firewall license?
To enable Layer 7 application control, IPS, DNS control, and cloud sandboxing.
8. Can Zscaler Cloud Firewall detect and block peer-to-peer (P2P) traffic?
Yes, using deep packet inspection and application signatures available with the
advanced feature set.
9. What traffic forwarding methods are compatible with Zscaler Cloud Firewall?
• GRE tunnels
• IPsec tunnels
• Zscaler Client Connector
• Proxy chaining
• SD-WAN routing
10. Can Zscaler Cloud Firewall handle non-web traffic such as SSH, FTP, and RDP?
Yes — non-web protocols are inspected and controlled when traffic is tunneled
via GRE/IPsec or ZCC full tunnel mode.
11. How does the firewall interact with Zscaler’s Threat Intelligence engine?
It leverages Zscaler ThreatLabz for real-time signature updates, threat feeds,
and advanced threat correlation.
,12. What is the role of IPS (Intrusion Prevention System) in Zscaler Cloud Firewall?
To detect and block known exploits, malware activity, and lateral movement
using signature-based and heuristic methods.
Visibility & Reporting
13. How can administrators monitor firewall events in Zscaler?
• Firewall Insights Dashboard
• Analytics > Firewall Logs
• Nanolog Streaming Service (NSS)
• SIEM integration (e.g., Splunk)
14. Which log type records Zscaler Cloud Firewall activity?
Firewall Control Logs (under Analytics > Logs in ZIA Admin Portal).
15. Can Zscaler firewall logs be integrated with external SIEM tools?
Yes, using NSS or API-based log streaming to tools like Splunk, QRadar, or
Elastic.
1. What is the goal of AI-driven data discovery in Zscaler?
To automatically identify, classify, and protect sensitive data—structured or
unstructured—across web, SaaS, and private app environments.
2. How does Zscaler AI-driven discovery differ from traditional DLP scanning?
It uses machine learning models to detect data contextually, not just based on
, keywords or regex, enabling better detection of unknown or mislabeled sensitive
content.
3. Which Zscaler services leverage AI-driven discovery?
• Inline DLP
• Out-of-Band CASB
• SaaS Security API
• Risk360 (contextual risk scoring)
Data Classification & Sensitivity
4. What types of data can Zscaler’s AI automatically classify?
PII, PHI, PCI, source code, financial records, intellectual property, credentials,
confidential documents.
5. How does AI-based classification assist in Shadow IT discovery?
It identifies risky behavior or sensitive data movement in unsanctioned cloud
apps—even if those apps weren’t pre-registered by the security team.
6. What is “data context” in AI-driven discovery?
Understanding the purpose, content structure, and usage pattern of data to
classify it more accurately—even if the keywords or formats vary.
7. How does Zscaler’s AI engine handle encrypted or obfuscated files?
It flags them for risk-based inspection or sandboxing if they cannot be
decrypted inline.
Verified Multiple Choice and Conceptual Actual
Emended Exam Questions With Reviewed 100%
Correct Detailed Answers
Guaranteed Pass!!Current Update
1. What is the Zscaler Cloud Firewall?
A cloud-native, stateful firewall service that enforces Layer 3–7 security
policies across user and branch traffic without on-prem appliances.
2. How does Zscaler Cloud Firewall differ from traditional firewalls?
It is delivered as a service from the Zscaler Zero Trust Exchange, with
centralized policy management, no hardware, and native scalability across all
users and locations.
3. What types of traffic can Zscaler Cloud Firewall inspect?
Outbound, inbound (via service edges), cross-VPC/VNet, and east-west traffic
in some configurations.
4. What protocol layers does Zscaler Cloud Firewall support?
Layer 3 (IP), Layer 4 (port-based), and Layer 7 (application-level) traffic.
5. How are firewall rules created in Zscaler?
Through policy rules configured in the ZIA Admin Portal, specifying
source/destination IPs, ports, protocols, users, locations, and actions (allow/deny).
,6. How does Zscaler determine the identity of a user for firewall enforcement?
Through integration with identity providers (IdPs) using SAML or SCIM, and
user context from Zscaler Client Connector.
7. What is the purpose of the Advanced Cloud Firewall license?
To enable Layer 7 application control, IPS, DNS control, and cloud sandboxing.
8. Can Zscaler Cloud Firewall detect and block peer-to-peer (P2P) traffic?
Yes, using deep packet inspection and application signatures available with the
advanced feature set.
9. What traffic forwarding methods are compatible with Zscaler Cloud Firewall?
• GRE tunnels
• IPsec tunnels
• Zscaler Client Connector
• Proxy chaining
• SD-WAN routing
10. Can Zscaler Cloud Firewall handle non-web traffic such as SSH, FTP, and RDP?
Yes — non-web protocols are inspected and controlled when traffic is tunneled
via GRE/IPsec or ZCC full tunnel mode.
11. How does the firewall interact with Zscaler’s Threat Intelligence engine?
It leverages Zscaler ThreatLabz for real-time signature updates, threat feeds,
and advanced threat correlation.
,12. What is the role of IPS (Intrusion Prevention System) in Zscaler Cloud Firewall?
To detect and block known exploits, malware activity, and lateral movement
using signature-based and heuristic methods.
Visibility & Reporting
13. How can administrators monitor firewall events in Zscaler?
• Firewall Insights Dashboard
• Analytics > Firewall Logs
• Nanolog Streaming Service (NSS)
• SIEM integration (e.g., Splunk)
14. Which log type records Zscaler Cloud Firewall activity?
Firewall Control Logs (under Analytics > Logs in ZIA Admin Portal).
15. Can Zscaler firewall logs be integrated with external SIEM tools?
Yes, using NSS or API-based log streaming to tools like Splunk, QRadar, or
Elastic.
1. What is the goal of AI-driven data discovery in Zscaler?
To automatically identify, classify, and protect sensitive data—structured or
unstructured—across web, SaaS, and private app environments.
2. How does Zscaler AI-driven discovery differ from traditional DLP scanning?
It uses machine learning models to detect data contextually, not just based on
, keywords or regex, enabling better detection of unknown or mislabeled sensitive
content.
3. Which Zscaler services leverage AI-driven discovery?
• Inline DLP
• Out-of-Band CASB
• SaaS Security API
• Risk360 (contextual risk scoring)
Data Classification & Sensitivity
4. What types of data can Zscaler’s AI automatically classify?
PII, PHI, PCI, source code, financial records, intellectual property, credentials,
confidential documents.
5. How does AI-based classification assist in Shadow IT discovery?
It identifies risky behavior or sensitive data movement in unsanctioned cloud
apps—even if those apps weren’t pre-registered by the security team.
6. What is “data context” in AI-driven discovery?
Understanding the purpose, content structure, and usage pattern of data to
classify it more accurately—even if the keywords or formats vary.
7. How does Zscaler’s AI engine handle encrypted or obfuscated files?
It flags them for risk-based inspection or sandboxing if they cannot be
decrypted inline.
