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NEW QUESTION # 39
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: C
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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NEW QUESTION # 40
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 # 41
Which Zscaler technology can be used to enhance your cloud data security by providing comprehensive visibility and management of data at rest within public clouds?
Answer: B
Explanation:
Zscaler Data Security Posture Management (DSPM) is specifically designed to discover, classify, and protect data at rest across public cloud environments such as object stores, databases, and other cloud-native services. Zscaler's DSPM solution continuously scans cloud data stores to identify where sensitive data resides, who can access it, how it is shared, and whether it violates corporate or regulatory policies, so security teams gain full visibility into their cloud data landscape and can remediate risks at scale.
In the broader Zscaler Data Protection portfolio, DSPM is highlighted as the capability that extends protection beyond inline traffic to data at rest in SaaS and public clouds, complementing DLP and malware controls that secure data in motion. Cloud Sandbox (option B) focuses on detonating suspicious files to detect zero-day malware; CASB (option C) secures SaaS usage and API-based access; and SSPM (option D) concentrates on assessing and fixing misconfigurations in SaaS applications. None of these options are as tightly aligned to continuous discovery and posture management of public-cloud data at rest as DSPM.
Therefore, the Zscaler technology that enhances cloud data security by providing comprehensive visibility and management of data at rest in public clouds is Data Security Posture Management (DSPM).
NEW QUESTION # 42
Which feature of Zscaler Private AppProtection provides granular control over user access to specific applications?
Answer: B
Explanation:
Zscaler's application segmentation is the feature that delivers granular, per-application control over which users can access which private apps. In the ZDTE study material and cyberthreat protection quick reference guides, Zscaler explains that application segmentation makes apps and servers completely invisible to unauthorized users, thereby minimizing the attack surface while allowing authorized users to reach only the specific applications they are entitled to.
Zscaler Private AppProtection builds on this segmentation foundation: policies are defined at the application layer using identity (user, group), context, and app attributes, instead of broad network constructs like IP ranges or subnets. This enables security teams to create fine-grained rules that tightly bind users to individual applications, rather than to entire networks. While Private AppProtection adds inline inspection, virtual patching, and exploit prevention, segmentation is the part that dictates who can talk to what.
Threat intelligence integration (option A) enriches detection but does not itself define access. Role-based access control (option C) applies mainly to admin and management roles in consoles, not to runtime user-to- application paths. User behavior analysis (option D) informs risk but is not the primary enforcement mechanism. The specific feature that provides granular control over user access to particular private applications is application segmentation.
NEW QUESTION # 43
A customer wants to set up an alert rule in ZDX to monitor the Wi-Fi signal on newly deployed laptops. What type of alert rule should they create?
Answer: C
Explanation:
Zscaler Digital Experience (ZDX) organizes its telemetry and alerting around key domains: Application, Network, and Device. Wi-Fi signal strength is a client-side characteristic of the endpoint itself, measured from the user's device, not from the network path or the application service. In the ZDX training content, Wi- Fi signal, Wi-Fi link speed, CPU, memory, and similar metrics are clearly categorized under Device health.
When creating an alert rule to monitor newly deployed laptops, the administrator should therefore choose a Device-type alert and then select Wi-Fi signal-related metrics and thresholds. This allows ZDX to trigger alerts whenever the Wi-Fi signal on those endpoints falls below an acceptable level, helping operations teams quickly identify poor local wireless conditions that degrade user experience.
Network alerts are intended for end-to-end path health (latency, packet loss, DNS resolution, gateway reachability, etc.), and Application alerts focus on performance and availability of specific apps or services.
"Interface" as a standalone alert type is not how ZDX structures its top-level alert categories; interface-related metrics are surfaced as device-side attributes. Consequently, the correct classification for Wi-Fi signal monitoring in ZDX is a Device alert rule.
NEW QUESTION # 44
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