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Zscaler ZDTA Exam Syllabus Topics:

TopicDetails
Topic 1
  • Platform Services: This section measures skills of Cloud Infrastructure Engineers and focuses on the suite of Zscaler platform services. Key topics include advanced device posture assessments, TLS inspection mechanics, and the application of policy frameworks governing internet, private access, and digital experience services.
Topic 2
  • This section assesses Data Protection Officers on techniques to secure data across motion, SaaS, cloud, and endpoints using Zscaler’s AI-driven data discovery and data protection technologies. It involves securing BYOD environments and understanding risk management to protect sensitive information.
Topic 3
  • Connectivity Services: This domain evaluates Network Security Engineers on configuring and managing connectivity essentials like device posture assessment, trusted network definitions, browser access controls, and TLS
  • SSL inspection deployment. It also includes applying policy frameworks focused on authentication and enforcement for internet access, private access, and digital experience.
Topic 4
  • Identity Services: This section of the exam measures skills of Identity and Access Management Engineers and covers foundational identity services including authentication and authorization protocols such as SAML, SCIM, and OIDC. Candidates should understand identity administration tasks and how to manage policies and audit logs within the Zscaler platform.

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Zscaler Digital Transformation Administrator Sample Questions (Q111-Q116):

NEW QUESTION # 111
What enables zero trust to be properly implemented and enforced between an originator and the destination application?

Answer: C

Explanation:
Zero Trust is achieved by granting users application#level access without ever placing them on the same network as the destination, ensuring users can reach only the specific app and never the underlying network.


NEW QUESTION # 112
How is data gathered with ZDX Advanced client performance?

Answer: A

Explanation:
ZDX Advanced client performance uses live telemetry from real user sessions to measure the experience of internet and private applications. Synthetic probes are useful for availability and path testing, but client performance is gathered by continuously observing active user sessions, endpoint condition, and traffic behavior. Option B (By constantly analyzing live user sessions to both Internet and Private applications and measuring the performance of those sessions) is correct because ZDX Advanced client performance is based on live session analysis.
Why the other options are incorrect:
A). By generating synthetic transactions to designated Internet and Private applications every 5 minutes and measuring the performance of those sessions: Synthetic transactions are scheduled probes that test applications independently of live user sessions.
C). By using AI predictive analysis ZDX can extrapolate near-term client performance based upon recent past data observed: AI prediction would forecast likely performance, but the tested ZDX function measures actual client/application sessions.
D). By constantly analyzing live user sessions to critical SaaS applications and measuring the performance of those sessions: SaaS applications are handled by ZIA controls such as URL Filtering, Cloud App Control, and DLP, not by ZPA App Connectors.


NEW QUESTION # 113
What conditions can be referenced for Trusted Network Detection?

Answer: C

Explanation:
Trusted Network Detection in Zscaler Client Connector can reference DNS Search Domains, DNS Server IPs, and Hostname Resolution (i.e. a hostname and the IP it resolves to) as criteria for determining a trusted network.


NEW QUESTION # 114
Zscaler Platform Services works upon unencrypted data from encrypted communications due to which of the following?

Answer: A

Explanation:
Zscaler Platform Services, such as web filtering, advanced threat protection, DLP, and more, operate on decrypted traffic. This decryption is enabled by TLS Inspection, which intercepts SSL/TLS sessions, decrypts the payloads for inspection, and then re#encrypts the traffic before forwarding to the destination.


NEW QUESTION # 115
Which is an example of Inline Data Protection?

Answer: A

Explanation:
Inline Data Protection is the process of inspecting data as it transits the network in real time, enforcing policies that prevent sensitive data from being leaked or transmitted improperly. Blocking the attachment of a sensitive document in webmail represents inline data protection because it intercepts and controls data transmission at the network level, stopping sensitive content before it leaves the organization.
Preventing copying to a USB drive is endpoint control and does not happen inline in network traffic.
Preventing sharing in OneDrive is cloud access security broker (CASB) activity, often done through API integrations, not inline network control. Analyzing M365 tenant security is an audit or advisory activity, not real-time inline protection.
Therefore, the correct example of inline data protection in Zscaler's cloud security services is blocking the attachment of a sensitive document in webmail.


NEW QUESTION # 116
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