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Our Certified Professional - PingAM Exam PT-AM-CPE questions PDF is a complete bundle of problems presenting the versatility and correlativity of questions observed in past exam papers. These questions are bundled into Certified Professional - PingAM Exam PDF questions following the official study guide. Ping Identity PT-AM-CPE PDF Questions are a portable, printable document that simultaneously plays on multiple devices. Our Ping Identity PT-AM-CPE PDF questions consists of problems in all aspects, whether theoretical, practical, or analytical.
NEW QUESTION # 92
Which of the following components is used to return data to PingGateway or the agent to be included with the policy decision?
Answer: D
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 # 93
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 # 94
Which of the following steps must be configured in PingAM to implement mutual TLS using the public key infrastructure (PKI) approach?
Import the trusted certificates into the trust store used by the PingAM web container.
Create a secret store in the realm that maps the appropriate secret ID with the certificate alias in the trust store.18 Select tls_client_auth as the authentication method in the client profile.
Select self_signed_tls_client_auth as the authentication method in the client profile.19 Provide the certificate subject distinguished name in the client profile.20 Configure a revocation check in the client profile.
Register the X.509 certificate in the client profile.
Answer: C
Explanation:
In PingAM 8.0.2, there are two distinct ways to implement Mutual TLS (mTLS) for OAuth2 client authentication: the PKI Approach (CA-signed) and the Self-Signed Approach.21 According to the documentation on "Mutual TLS using PKI":
The PKI approach relies on a chain of trust. The steps required are:
Step 1 (Trust): You must import the CA certificates that signed the client certificates into the truststore of the web container (Tomcat) or the AM Secret Store.22 This allows AM to verify the signature of the client's certificate during the TLS handshake.
Step 2 (Mapping): You must configure a Secret Store and map the am.services.oauth2.tls.client.cert.authentication secret label to the trusted CA aliases.23 Step 3 (Authentication Method): In the OAuth2 Client Profile, you must select tls_client_auth. 24This is the specific OIDC standard string for CA-based mTLS. (In contrast, self_signed_tls_client_auth (Step 4) is used only when you trust individual certificates directly without a CA).25 Step 5 (Identity Mapping): Because multiple clients might have certificates signed by the same CA, you must provide the Subject Distinguished Name (DN) (e.g., CN=myClientApp) in the client profile. PingAM uses this to ensure that the certificate presented by the client during the handshake actually belongs to that specific Client ID.
Why other steps are excluded: Step 7 (Registering the certificate) is only required for the Self-Signed approach, as the PKI approach validates against the CA. Step 6 (Revocation check) is a global provider setting or an optional enhancement, but not a fundamental "must-configure" step for the basic PKI identity mapping logic. Thus, the correct sequence for the PKI approach is 1, 2, 3, and 5, making Option C the correct answer.
NEW QUESTION # 95
Which set of Directory Server stores can be enabled for affinity in a PingAM cluster configuration?
Answer: D
Explanation:
In a high-availability PingAM 8.0.2 cluster, Affinity Load Balancing is a mechanism used to ensure that requests related to a specific session or configuration are routed to the same Directory Server (DS) instance to avoid issues with replication lag. This is particularly important for stores where data changes frequently or where consistent reads are required immediately after a write.
According to the PingAM documentation on "Load Balancing" and "External Data Stores," affinity can be configured for the following primary stores:
Core Token Service (CTS) Store: This is the most critical area for affinity. Since the CTS handles stateful data like session tokens and OAuth2 tokens that are updated constantly, ensuring that an AM server consistently communicates with a specific DS node (using the HOST:PORT|SERVERID|SITEID syntax) prevents "token not found" errors that might occur if a request reached a DS node before the token was replicated.
Configuration Store: This store holds the central configuration for the AM deployment. In multi-server environments, affinity ensures that configuration changes are read consistently across the cluster.
Identity Stores: These hold the user profiles. While often read-heavy, affinity is used here to improve caching efficiency and ensure that profile updates (like password changes or attribute updates) are reflected immediately in subsequent authentication steps within the same cluster.
Policy Data Store: This stores authorization policies. Similar to configuration, affinity ensures consistent policy evaluation.
Option D is the correct answer because it includes the Core Token Service, Identity Stores, Configuration Store, and Policy Data Store. The "Application Data Store" (mentioned in other options) is often logically grouped with or replaced by the Policy Data Store in many 8.0.2 configurations, but the four stores listed in Option D are the specific ones explicitly called out in the "External Data Stores" secondary configuration documentation for supporting affinity settings.
NEW QUESTION # 96
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: A
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 # 97
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