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| Certification Vendor: | Ping Identity |
|---|---|
| Exam Name: | Certified Professional - PingAM Exam |
| Exam Number: | PT-AM-CPE |
| Related Certifications: | Ping Identity Certified Expert - PingAM |
| Available Languages: | English |
| Exam Format: | Scenario-based, Multiple Choice |
| Exam Duration: | 120 minutes |
| Passing Score: | 66% |
| Certificate Validity Period: | 3 years |
| Real Exam Qty: | 100 |
| Exam Price: | $395 / £310 / €365 |
| Recommended Training: | PingAM Deep Dive (AM-410) |
| Exam Registration: | Ping Identity Certification Portal |
| Sample Questions: | Ping Identity PT-AM-CPE Sample Questions |
| Exam Way: | Online proctored or onsite testing center |
| Pre Condition: | Completion of PingAM Deep Dive Course (AM-410); 3–6 months hands-on experience with PingAM |
| Official Syllabus URL: | https://backstage.pingidentity.com/university/ping/certification |
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NEW QUESTION # 66
A PingAM administrator wants to deny access to an area of a protected application if the end user has been logged in for more than 10 minutes. How can this be achieved?
Answer: C
Explanation:
To enforce complex authorization logic based on session duration, PingAM 8.0.2 administrators must move beyond the static "Out-of-the-Box" conditions.
Analysis of the options based on the "Policy Conditions" documentation:
Time Condition (Option A): This condition is used to restrict access based on the clock time of day or day of the week (e.g., "Allow access only between 9 AM and 5 PM"). It does not track the elapsed time of a specific user session.
Current Session Properties (Option B): This condition checks for the presence of specific key-value pairs in a session. While a session contains a startTime property, this condition is designed for matching static values (like department=HR), not for performing mathematical time calculations.
Active Session Time (Option D): This is not a standard default condition name in the PingAM 8.0.2 policy engine.
The Correct Approach (Option C): A Scripted Policy Condition is required for this use case. Within a Policy Condition script, the administrator has access to the session object. The script can retrieve the startTime (or creationTime) of the session and compare it against the current system time (currentTime).
Example logic in the script:
var sessionStartTime = session.getProperty("startTime");
var maxDuration = 10 * 60 * 1000; // 10 minutes in milliseconds
if ((currentTime - sessionStartTime) > maxDuration) { authorized = false; } By using a script, PingAM can dynamically calculate the age of the session at the moment of the access request and return a "Deny" decision if the 10-minute threshold has been exceeded. This provides the granular control needed for high-security environments where "session freshness" is a requirement for specific sensitive resources.
NEW QUESTION # 67
Which of the following would be a possible combination of fields in the JSON body when making a policy evaluation via REST?
Answer: B
Explanation:
In PingAM 8.0.2, requesting policy decisions via the REST API involves sending a POST request to the policies endpoint with the _action=evaluate parameter. To receive an accurate decision, the request body must provide the context of the access attempt.
According to the "Request policy decisions over REST" documentation, the JSON body typically includes the following core fields:
resources: (Required) An array of strings representing the URIs the user is attempting to access.
application: (Required) This field specifies the name of the Policy Set (formerly known as the application) that contains the relevant policies for the evaluation.
subject: (Optional, but usually required for user-specific policies) This object identifies the user or entity requesting access. It can include the user's ssoToken or a set of claims if using JWT-based subjects.
Why other options are incorrect: Advices (Options A and C) are not inputs for a policy evaluation request. Instead, advices are returned by PingAM in the response if a policy condition fails (e.g., an AuthLevelConditionAdvice requesting the user to provide MFA). A request cannot "evaluate" an advice; it triggers one. Option D is incorrect because the resources field is a mandatory requirement for any evaluation; without a target resource, the engine has nothing to compare against the defined policy rules. Therefore, the combination of resources, subject, and application represents the standard, valid structure for a policy decision request in PingAM 8.0.2.
NEW QUESTION # 68
Which of the following statements about the PingAM tree designer is not true?
Answer: B
Explanation:
The Tree Designer in PingAM 8.0.2 is a visual, drag-and-drop tool used to build sophisticated login journeys. While it is highly flexible, it follows specific structural rules to ensure the authentication engine can execute the logic predictably.
Analysis of the statements:
Statement A is true: Trees must terminate in an outcome. Success and Failure nodes are standard. Additionally, the Inner Tree Evaluator node allows one tree to hand off processing to another "child" tree.
Statement C is true: The designer is extensible. Administrators can develop their own Java or Scripted nodes, and the Ping Identity Marketplace provides a wide range of third-party nodes (e.g., for biometric providers or specialized risk engines) that appear in the designer palette once installed.
Statement D is true: "Inner trees" are a supported concept, allowing for modularity where common logic (like MFA) can be built once and called from multiple parent trees.
Statement B is the "not true" statement. While the designer allows for complex logic and loops (e.g., looping back to a username prompt if a password is wrong), it does not support nesting nodes within a tree. In PingAM architecture, nodes are atomic components placed on a flat canvas. You cannot "nest" a node inside another node's configuration in the visual designer. Complexity is achieved through the branching and linking of these atomic nodes. If logic needs to be "nested" or grouped, it is done by creating a separate tree and calling it as an Inner Tree. Understanding this structural limitation is key for architects designing modular authentication frameworks.
NEW QUESTION # 69
Which type of logs are written by PingAM?
Answer: D
Explanation:
According to the PingAM 8.0.2 "Maintenance and Troubleshooting" documentation, the system generates two primary, distinct categories of logs for monitoring and problem-solving: Audit Logs and Debug Logs.
Audit Logs: These are high-level logs intended for security auditing, compliance, and reporting. They record specific "business events" or "state changes" within the system. Examples include successful logins, failed authentication attempts, administrative configuration changes (logged in config.audit.json), and policy evaluation decisions (logged in access.audit.json). These logs are structured (often in JSON) to be easily consumed by SIEM (Security Information and Event Management) tools.
Debug Logs: These are low-level, highly verbose logs intended for developers and support engineers. They record the internal "thought process" of the PingAM engine. They track the execution of specific Java classes, the results of LDAP queries, and the movement of data between authentication nodes. These logs are stored in the /debug directory and can be adjusted to different levels of verbosity (Error, Warning, Message, Info).
While PingAM runs within a Java Virtual Machine (JVM), and you may see container logs (like catalina.out in Tomcat) or "Java logs" from the underlying web server, these are technically external to the PingAM application itself. The PingAM application's internal logging framework is strictly split between Audit (what happened at a functional level) and Debug (why it happened at a code level). Therefore, Option C is the most accurate technical description of the logs natively managed and written by the PingAM service.
NEW QUESTION # 70
Does the user who runs the PingAM process need to have a home directory?
Answer: C
Explanation:
According to the PingAM 8.0.2 Installation Guide, the user account on the operating system that runs the web application container (such as Apache Tomcat) must have a home directory. This requirement is critical for the "Bootstrap" process of the application.
When PingAM starts for the first time or after a restart, the binaries need to know where the configuration data resides. PingAM looks for a hidden directory in the user's home directory named .openamcfg (or a similar name based on the deployment path). Inside this directory, AM creates and reads a file that contains the absolute path to the actual configuration directory (e.g., /home/tomcat/openam). This file acts as the pointer or "bootstrap" record.
If the user running the process does not have a home directory, the AM application will fail to initialize because it cannot create this bootstrap pointer. This often results in a "Configuration failed" error or the application reverting to an "unconfigured" state upon every restart. While it is possible to override the location of the configuration directory using JVM system properties (like -Dcom.sun.identity.configuration.directory), the default behavior and best practice documented for standard deployments assume the existence of a home directory for the service user. This ensures that configuration remains persistent and isolated from the web container's temporary application files. Option C is incorrect as port listening restrictions are handled by the OS kernel/root privileges, not the existence of a home directory.
NEW QUESTION # 71
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