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| Certification Vendor: | Ping Identity |
|---|---|
| Exam Name: | Certified Professional - PingAM Exam |
| Exam Number: | PT-AM-CPE |
| Exam Price: | USD 300 |
| Related Certifications: | Ping Identity Certified Professional |
| Exam Duration: | 120 minutes |
| Passing Score: | 66% |
| Exam Format: | Scenario-based, Multiple Choice |
| Real Exam Qty: | 100 |
| Available Languages: | English |
| Certificate Validity Period: | 3 years |
| Sample Questions: | Ping Identity PT-AM-CPE Sample Questions |
| Exam Way: | Proctored exam (online or at testing centers) |
| Pre Condition: | Recommended experience with PingAM in production environments |
| Official Syllabus URL: | https://www.pingidentity.com/en/training/certification.html |
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NEW QUESTION # 41
Examining the following JSON object, what is a valid value for the type part (shown in bold font) of the claim value in a PingAM implementation?
JSON
JSON
"act": {
"sub": "(type!subject)"
}
Answer: B
Explanation:
The JSON object structure provided refers to the Actor (act) claim used in OAuth 2.0 Token Exchange (RFC 8693) within PingAM 8.0.2. This claim is essential for scenarios involving delegation or impersonation, where one entity (the actor) is performing an action on behalf of another (the subject). In PingAM, the sub (subject) field within the act claim follows a specific internal format: (type!subject).
According to the PingAM 8.0.2 documentation regarding Token Exchange Configuration, the type part of this string is a mandatory prefix that identifies the category of the identity acting as the delegate. The documentation explicitly defines two primary valid values for this type field:
usr: This specifies that the subject is a user/identity from an identity store. For instance, if a user is acting on behalf of another user, the claim would appear as "(usr!username)".
age: This specifies that the subject is an OAuth 2.0/OpenID Connect-related agent or client. Examples include an OAuth 2.0 client, a Remote Consent Service agent, or a Web/Java Agent internal client. An example would be "(age!myClientID)".
While "user" and "agent" are the descriptive terms for these categories, the actual technical values recognized and emitted by PingAM in the claim string are the three-letter shorthand codes. Therefore, usr (Option B) is the correct valid value. Choosing "user" (Option D) would be technically incorrect in the context of the exact string format required by the AM engine. This formatting ensures that when the token is introspected or validated, the resource server can correctly parse whether the actor is a human user or a machine client.
NEW QUESTION # 42
Which of the following components is used to return data to PingGateway or the agent to be included with the policy decision?
Answer: B
Explanation:
When PingAM 8.0.2 evaluates an authorization policy, the primary output is a "Permit" or "Deny" decision. However, applications and Policy Enforcement Points (PEPs)-like PingGateway or a Web Agent-often require additional metadata about the user or the session to function correctly (e.g., the user's employee ID, department, or a specific preference).
According to the PingAM documentation on "Policies" and "Requesting Decisions":
The mechanism used to provide this extra information is Response Attributes. When defining a policy in the PingAM UI or via REST, an administrator can configure "Response Attributes" which map internal attributes (from the User Profile or the Session) to keys that are sent back in the policy decision payload.
How it works: If a policy is configured with a response attribute mapping uid to User-ID, when PingGateway asks "Can user X access resource Y?", PingAM responds with "Permit" AND a map containing User-ID: X.
Consumption: PingGateway or the Web Agent can then take these attributes and inject them into HTTP headers (e.g., X-User-ID) so the downstream application can consume them without having to query AM again.
Subjects (Option A), Resources (Option B), and Actions (Option D) are all input components used to define the scope of a policy; they are not used to return data to the enforcer. Only Response Attributes serve the purpose of enriching the decision response with additional context.
NEW QUESTION # 43
Which of the following are existing script types in PingAM?
A) Decision node script for authentication trees
B) End User user interface theme script
C) OpenID Connect claims script
D) Policy condition script
Answer: D
Explanation:
PingAM 8.0.2 is highly extensible through its Scripting Engine, which supports Groovy and JavaScript. However, scripts can only be applied to specific "hooks" or "extension points" defined by the platform.
According to the "Scripting" and "Script Types" reference in the PingAM 8.0.2 documentation, the standard supported script types are:
Decision node script (A): Used within Authentication Trees via the "Scripted Decision Node." These scripts allow for complex logic, such as checking user attributes, calling external APIs, or evaluating risk before deciding which path a user should take in their journey.
OpenID Connect claims script (C): This script type is used to customize the claims returned in OIDC ID Tokens or at the UserInfo endpoint. It allows administrators to transform internal LDAP attributes into the specific JSON format required by OIDC clients.
Policy condition script (D): Used within Authorization Policies. These scripts define custom logic for granting or denying access (e.g., "Allow access only if the user is connecting from a specific IP range and it is between 9 AM and 5 PM").
Why Statement B is incorrect: There is no such thing as an "End User user interface theme script" in the PingAM scripting engine. UI customization (Themeing) in PingAM 8.0.2 is handled through the XUI framework using CSS, HTML templates, and configuration JSON files, or by building a custom UI using the Ping SDKs. It does not use the server-side Groovy/JavaScript scripting engine that governs authentication and authorization logic. Therefore, the valid script types are A, C, and D, making Option D the correct choice.
NEW QUESTION # 44
Which of the following best describes the relationship between users and realms?
Answer: A
Explanation:
In PingAM 8.0.2, Realms are the primary organizational units used to group configuration, policies, and identities.13 A common misconception is that a user is "locked" into a single realm. However, according to the "Realms" and "Identity Stores" documentation, the relationship is highly flexible.
A Realm does not actually "contain" users in a physical sense; instead, a realm is configured with one or more Identity Stores (such as an LDAP directory or a database). Multiple realms can be configured to point to the same underlying Identity Store. Therefore, if a user profile exists in an LDAP directory that is shared by "Realm A" and "Realm B," that user is effectively a member of both realms. They can authenticate to either realm and receive different policies or session properties based on the realm-specific configuration.
Key points from the documentation:
Logical Partitioning: Realms provide a way to apply different authentication logic (different trees) to the same set of users.14 Multi-tenancy: An organization can create separate realms for different departments or customer groups, even if they overlap in the back-end user database.
Identity Store Mapping: Because a realm maps to an identity store, and an identity store can be reused across realms, a user's membership is determined by where the realm is "looking" for data.
Thus, Option A is the correct description of the architecture: a user can be a member of one or more realms depending on how the administrator has mapped the identity repositories.
Would you like me to proceed with more questions, or would you like to focus on a specific area such as OAuth2 Grant Flows?
NEW QUESTION # 45
Which PingAM feature only uses the PingAM keystore?
Answer: D
Explanation:
In PingAM 8.0.2, the management of cryptographic material has evolved toward the Secret Store framework, which allows secrets to be stored in various locations (Filesystem, HSM, or Environment Variables). However, for specific core features, the internal PingAM keystore (historically keystore.jks) remains the primary repository for the keys used to protect session integrity.
According to the "Client-side Session Security" documentation, when a realm is configured for Client-side sessions, the entire state of the user's session is encapsulated within a signed and encrypted JSON Web Token (JWT). This JWT is then stored in the user's browser cookie. To ensure that this token cannot be tampered with or read by unauthorized parties, PingAM must sign and encrypt the payload. The AM engine is hardcoded to look for the specific aliases (such as am.services.session.encryption and am.services.session.signing) within the default-keystore secret store, which points directly to the PingAM keystore.
While other features like OAuth2 providers (Option D) and the Persistent Cookie node (Option B) utilize secret stores, they are designed to be highly flexible and can be configured to use keys from any defined secret store in the realm. Authentication trees (Option C) are logical constructs and do not "use" the keystore directly, although individual nodes within a tree might. The distinction for Client-side sessions is that the feature's fundamental security model is built specifically around the cryptographic keys managed within the AM keystore to provide "stateless" session management. Administrators must ensure that the same keystore and aliases are shared across all nodes in a cluster to allow any AM instance to validate a client-side session token issued by another node.
NEW QUESTION # 46
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