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| Section | Weight | Objectives |
|---|---|---|
| Enhancing Intelligent Access | 30% | - Dynamic policy configuration - Contextual access decisions - Risk signals integration - Device posture evaluation |
| Extending Services Using OAuth2-Based Protocols | 35% | - Authorization flow troubleshooting - Scope management - Token endpoint configuration - Third-party application integration - API integration - OAuth2 configuration |
| Improving Access Management Security | 35% | - Suspicious access pattern response - Multi-factor authentication implementation - Threat detection - Password policy enforcement - Session management - Authentication methods |
>> PT-AM-CPE Exam Objectives <<
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NEW QUESTION # 43
What is session denylisting used for?
Answer: C
Explanation:
Session Denylisting is a critical security feature in PingAM 8.0.2, primarily used when a realm is configured for client-side sessions.9 In a client-side session model, the session state is stored in a signed and encrypted JWT within the user's browser cookie rather than in the server's memory or the Core Token Service (CTS).10 Because the server does not "own" the session state, a logout event typically only involves deleting the cookie from the browser. However, if a malicious actor had previously copied that cookie, they could still use it until it naturally expires.
To solve this, PingAM uses Session Denylisting to keep track of logged out sessions.11 When a user logs out, or when a session is invalidated (e.g., during a session upgrade or administrative action), AM records the session identifier in a denylist stored within the Core Token Service (CTS).12 For every subsequent request, AM checks the incoming client-side session token against this denylist.13 If the session ID is found in the denylist, AM rejects the token as invalid, even if the cryptographic signature is correct and the expiration time has not passed.
The documentation emphasizes that this feature is essential for "tracking session logouts across multiple AM servers" in a cluster. Without denylisting, there would be no way to perform a "global logout" for client-side sessions that is immediately effective across all nodes.14 Administrators can configure properties such as the Denylist Purge Delay (to account for clock skew) and the Denylist Poll Interval (to balance security speed with system performance).15 By effectively managing the lifecycle of revoked tokens, session denylisting ensures that a logout is a cryptographically and operationally certain event.
NEW QUESTION # 44
Which authentication nodes can be used for risk analysis related to device context?
A) Device Profile Collector node1
B) Device GeoFencing node2
C) Device Profile Save node3
D) Device Tampering Verification node
E) Device Location Match node4
F) Device Match node
Multiple Choice Options:
Answer: A
Explanation:
In PingAM 8.0.2, the Intelligent Access framework categorizes authentication nodes based on their primary function. While nodes like the Device Profile Collector (A) and Device Profile Save (C) are essential for the device context workflow, they are considered "Utility" or "Data Collection/Persistence" nodes. They do not perform analysis or branching logic based on risk scores or comparisons themselves; they simply gather metadata or write it to the user's profile.
According to the "Authentication Node Reference," Risk Analysis related to device context is performed by nodes that compare real-time data against a baseline or a set of rules. These nodes include:
Device Geofencing node (B): Analyzes the current device's location against a set of predefined "trusted" coordinates to determine if the user is within a permitted geographical area.5 Device Tampering Verification node (D): Assesses the integrity of the device (typically for mobile) to detect if it has been rooted, jailbroken, or otherwise compromised.6 Device Location Match node (E): Compares the current device's location with the user's historical location data stored in their profile to identify anomalies.7 Device Match node (F): Evaluates the current device's hardware and software signatures against a list of "trusted devices" previously registered by the user.8 Nodes B, D, E, and F all provide branching outcomes (e.g., True/False, Inside/Outside, Success/Failure) based on a risk evaluation of the device context. This makes Option B the correct selection. Understanding the distinction between a "Collector" and an "Evaluator" is vital for designing effective authentication journeys that can trigger step-up authentication or deny access when device-based risk signals are detected.
NEW QUESTION # 45
Which statement differentiates the ForgeOps Cloud Deployment Model (CDM) from the Cloud Developer Kit (CDK) deployment?
Answer: C
Explanation:
In the Ping Identity ForgeOps methodology for version 8.0.2, there are two primary deployment patterns used in Kubernetes: the Cloud Developer Kit (CDK) and the Cloud Deployment Model (CDM).
CDK (Cloud Developer Kit): This is intended for development and demonstration purposes. It is a "minimized" version of the platform. Crucially, in the CDK, the PingDS (directory service) is typically deployed as a single instance. It lacks the redundancy and replication required for production, as the goal is to reduce resource consumption on a developer's machine or a small test cluster.
CDM (Cloud Deployment Model): This is the reference architecture for production-grade environments. The CDM is designed for high availability and scale. According to the "ForgeOps Documentation," the primary differentiator is that the CDM provides replicated directory services. In a CDM deployment, PingDS is deployed in a multi-instance, replicated state (using a Kubernetes StateFulSet) to ensure that if one DS pod fails, the session and configuration data remain available.
While both models support major cloud providers like GKE, EKS, and AKS (Option B), generate random secrets (Option A), and provide integrated AM/IDM/DS stacks (Option D), the presence of multi-node replication in the directory layer is the definitive technical boundary between the "Developer" kit and the "Production" model.
NEW QUESTION # 46
What scope is required to be included in a client's request if you wish to utilize the OpenID Connect capabilities of PingAM's OAuth2 implementation?
Answer: B
Explanation:
PingAM 8.0.2 implements OpenID Connect (OIDC) 1.0 as an identity layer on top of the OAuth 2.0 protocol. While OAuth 2.0 is designed for authorization (accessing resources), OIDC is designed for authentication (verifying who the user is).
According to the "OpenID Connect 1.0" documentation in PingAM, the presence of a specific scope in the Authorization Request is what signals to the AM server that the request should be treated as an OIDC flow rather than a standard OAuth2 flow. This mandatory scope is openid.
When PingAM receives an /oauth2/authorize request containing the scope=openid parameter:
It triggers the OIDC processing logic.
It ensures that an ID Token (a signed JWT containing user identity information) is generated alongside (or instead of) the Access Token.
It allows the client to later access the UserInfo Endpoint to retrieve further claims about the authenticated user.
Other scopes like profile (Option A), email, or address are optional OIDC scopes used to request specific sets of user claims, but they do not "activate" OIDC on their own. openid+connect and id (Options B and D) are not recognized standard scopes in the OIDC specification. Therefore, openid is the fundamental requirement for any OIDC interaction in PingAM 8.0.2.
NEW QUESTION # 47
Which of the following options represents best practice for an implementation that configures an ID token in a subject condition for policies validating the token's claims?
Answer: B
Explanation:
In PingAM 8.0.2, Authorization Policies can be configured to use complex conditions to determine if access should be granted. When a policy uses a Subject Condition based on an OpenID Connect (OIDC) ID Token, the policy engine looks for specific claims within that token (such as group membership or a specific user ID).
According to the "Authorization and Policy Evaluation" best practices, it is crucial to understand the separation of concerns between the Policy Decision Point (PDP) and the client. The PingAM policy engine is designed to evaluate logic-it checks if claimX == valueY. However, the policy engine typically does not perform a full cryptographic validation of the ID token's signature every time it evaluates a condition, especially if the token is passed as a string in the evaluation request.
Therefore, the best practice is as follows:
The client application or the PEP (Policy Enforcement Point) must validate the ID token (ensuring it is signed by a trusted provider, has not expired, and contains the correct audience) before sending the claims to the AM policy service for evaluation. If an unvalidated or forged token is used to supply claims for a policy request, and the policy engine assumes the input is "trusted," it could result in unauthorized access.
By validating the token first (Option C), the implementation ensures that only legitimate identity data is processed by the authorization logic. Option D is incorrect because the policy engine's primary role is decision-making based on presented attributes, not act as a full OIDC validation service during a REST evaluation call. Option B is a security risk as it ignores the necessity of cryptographic proof of identity.
NEW QUESTION # 48
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