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NEW QUESTION # 14
For App Connectors, why shouldn't the customer pre-configure memory and CPU resources to accommodate a higher bandwidth capacity, like 1 Gbps or more?
Answer: B
Explanation:
In ZPA, App Connectors are designed to be lightweight, horizontally scalable components. Their effective throughput and concurrent-connection capacity are often constrained more by network stack limitations (such as ephemeral port exhaustion and per-process file descriptor limits) than by raw CPU or memory. As a result, simply over-provisioning vCPUs and RAM to "hit" a target like 1 Gbps on a single connector usually does not provide linear performance gains.
Zscaler design guidance emphasizes deploying multiple App Connectors and allowing ZPA to intelligently load-balance traffic across them. This delivers resiliency and scales capacity while staying within realistic limits of TCP/UDP ports and OS-level descriptors. Over-scaling a single connector can lead to diminishing returns and may even create harder-to-diagnose issues when port ranges or file descriptors are saturated.
Storage is not the main factor in App Connector performance, and the platform does not recommend a "just throw more resources at it" approach. For these reasons, the correct answer is that port exhaustion and file descriptors, rather than memory or CPU, are typically the true limiting factors for App Connectors.
NEW QUESTION # 15
Which of the following external IdPs is unsupported by OIDC with Zscaler ZIdentity?
Answer: B
Explanation:
The ZIdentity documentation on external identity providers explains that Zscaler supports various third-party IdPs over SAML and OIDC, and then provides specific configuration guides for each provider. For PingOne, Auth0, and OneLogin, the ZIdentity help explicitly describes configuring each as an OpenID Provider (OP) for ZIdentity, clearly stating that they are used to provide SSO via OpenID Connect (OIDC).
By contrast, the ZIdentity guides for Microsoft AD FS consistently describe configuring AD FS "as the SAML Identity Provider (IdP) for ZIdentity," and the examples focus on SAML assertions, claim rules, and certificate bindings-not OIDC flows. In other words, AD FS is supported in a SAML mode with ZIdentity, but it is not listed among the IdPs configured as OpenID Providers for OIDC-based integrations.
The Digital Transformation Engineer identity modules reinforce this differentiation by mapping external IdPs to either OIDC or SAML in the ZIdentity configuration, and the hands-on labs use Azure/Microsoft Entra ID or PingOne for OIDC examples, while AD FS is shown only in SAML scenarios.
Therefore, among the options listed, Microsoft AD FS is the external IdP that is unsupported by OIDC with Zscaler ZIdentity, making option C the correct answer.
NEW QUESTION # 16
What are the valid options as criteria to create an alert rule in ZDX?
Answer: C
Explanation:
Zscaler Digital Experience (ZDX) uses web probes to measure application performance from the user's perspective. Official ZDX reference material and EDU/ZDTE study guides describe the four key web-probe metrics as Page Fetch Time (PFT), DNS Time, Server Response Time (Time to First Byte), and Availability. These same metrics are explicitly called out in training and exam prep as the values that can be used when defining application-level alert rules (for example, "DNS Time > X ms" or "Server Response Time
> Y ms").
ZDX documentation also explains that each alert rule type (Application, Device, Network, or Call Quality) has its own metrics and criteria, and that application alerts are driven by web-probe metrics like DNS Time and Server Response Time, while network alerts use CloudPath metrics such as latency and packet loss. Because both DNS Time and Server Response Time are application-probe metrics, they can legitimately be used together as criteria in an application-type alert rule.
By contrast, combinations that mix web-probe metrics with network-only metrics (like Packet Loss Rate) or vaguely defined "Network Response Time" do not reflect how ZDX structures its alert criteria per type.
Therefore, among the listed options, the pair that correctly represents valid ZDX alert criteria for application monitoring is DNS Time and Server Response Time.
NEW QUESTION # 17
Which type of sensitive information can be protected using OCR (Optical Character Recognition) technology?
Answer: D
Explanation:
Zscaler's Data Protection platform integrates Optical Character Recognition (OCR) into its inline Data Loss Prevention (DLP) capabilities. OCR enables Zscaler to extract text embedded within images-such as screenshots, scanned documents, or photos of forms-and subject that text to the same DLP inspection engines that normally analyze plain text content.
Once OCR has converted image content into text, Zscaler can apply predefined dictionaries, custom dictionaries, and advanced classifiers to detect sensitive data types, including personally identifiable information (PII) such as national ID numbers, passport numbers, addresses, or other regulated personal data. This is crucial because many data leaks occur via screenshots or scanned documents that traditional, text- only DLP engines would miss.
While OCR could, in theory, detect patterns related to network configurations, software licenses, or financial transactions, Zscaler's training and exam materials emphasize its use to protect sensitive data in images- especially user-related regulated data such as PII and other compliance-relevant information. Network configurations and software licenses are better addressed through configuration management and IP protection policies, and "financial transactions" describes activities rather than a specific information pattern.
Therefore, Personally Identifiable Information (PII) is the best and most exam-accurate answer for the type of sensitive information protected using OCR.
NEW QUESTION # 18
The Zscaler for Users - Engineer (EDU-202) learning path consists of various solutions covered in eleven courses. Which of the following topics is out of scope for the Zscaler for Users - Engineer learning path?
Answer: A
Explanation:
Official EDU-202 materials describe the Engineer path as focusing on advanced architecture, connectivity, platform, access control, cyberthreat protection, data protection, risk management, ZDX, and Zero Trust Automation. The published learning outcomes explicitly include: discussing the architecture of the Zscaler platform and its API infrastructure; configuring advanced connectivity options; and configuring advanced cybersecurity services and Zscaler Digital Experience (ZDX)-including application monitoring, call quality, probes, diagnostics, alerts, and role-based administration. These map directly to options A, C, and D, which align to Zscaler Architecture, Cyberthreat/Access Control Services (IPS, DNS Control, Tenant Restrictions, segmentation), and ZDX content in the EDU-202 outline.
By contrast, Client Connector App Store "version enablement" and controlling which build is available when users manually or automatically update the app is documented as an administration task in the Client Connector help and is typically taught in the Essentials/Administrator (EDU-200) path, not in the Engineer path. Those materials show how to use the App Store to enable builds and control available versions, positioning it as operational client management rather than an advanced Engineer-level topic.
Consequently, option B is considered out of scope for EDU-202 in the ZDTE context.
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