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NEW QUESTION # 36
What should be configured in PingAM if you are using an LDAP directory service that does not support persistent search?
Answer: D
Explanation:
Persistent Search is an LDAP control that allows a client (like PingAM) to receive real-time notifications from the Directory Server (like PingDS) whenever a user record is modified. PingAM 8.0.2 uses this to maintain its User Data Cache.
According to the "Identity Store Configuration" and "Tuning AM" documentation:
When persistent search is supported, PingAM caches user profile data in memory to speed up authentication and authorization decisions. When a change happens in the LDAP store, the directory server "pushes" the update to AM via the persistent search connection, and AM updates its cache immediately.
If the LDAP directory does not support persistent search (common in some legacy or highly restricted environments):
Cache Inconsistency: If caching were enabled, PingAM would not know when a user's attribute (like a group membership) had changed in the back-end. The cache would become "stale," leading to incorrect authorization decisions.
Required Configuration: The administrator must Disable user data caching to ensure that every request results in a direct query to the LDAP server, ensuring "Read-through" accuracy.
Performance Impact: Disabling the cache has a negative impact on performance (Option D) because every policy evaluation or session check now requires a synchronous network round-trip to the LDAP server, increasing latency and putting higher CPU/IO load on the directory.
Therefore, for directories lacking persistent search, disabling the cache is necessary for data integrity but comes at a significant performance cost.
NEW QUESTION # 37
What is session denylisting used for?
Answer: B
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 # 38
In an authentication tree process, considering best practice, where can the collected context data for mobile devices be persisted for subsequent risk analysis?
Answer: D
Explanation:
In PingAM 8.0.2, the Intelligent Access engine (Authentication Trees) uses a specific data-passing mechanism to move information between individual nodes within a single journey. When a journey involves collecting context-such as device metadata (OS, version, screen resolution), location data (IP, geofencing), or risk signals-this information must be stored temporarily while the tree evaluates the next steps.
According to the "Authentication Node Development" and "Nodes and Trees" documentation, PingAM uses two primary transient storage objects during the authentication flow:
Shared State: This is the primary map used to share data between nodes in the same tree. Contextual data collected by nodes like the Device Profile Collector or Browser Capabilities nodes is stored here. It exists only for the duration of the authentication journey.
Transient State: Similar to shared state, but often used for sensitive data that should not be visible to certain types of nodes or scripts.
The documentation identifies Shared Node State (Option B) as the best practice for persisting collected context during the tree process.
Session State (Option A) is only available after the authentication is successful and a session has been created. It is not suitable for data needed by nodes within the tree to make a decision (like a risk engine node).
User Profile (Option C) is for long-term persistence (LDAP/PingDS). Storing transient device context there would cause unnecessary database write overhead and privacy concerns.
Browser Cookies (Option D) are limited in size and pose security risks if used to store raw device data that could be tampered with by the client.
Therefore, for real-time risk analysis within a journey, nodes write data to the shared state, where subsequent nodes (like a Scripted Decision Node or Adaptive Risk Node) can retrieve and analyze it.
NEW QUESTION # 39
A multi-server PingAM deployment is scheduled for upgrade. What measure can be implemented to prevent external user access during this process?
Answer: A
Explanation:
According to the PingAM 8.0.2 Upgrade Guide and best practices for high-availability environments, performing an upgrade on a multi-server cluster requires a controlled redirection of traffic. While several methods can technically stop traffic, the load balancer is the primary tool for managing availability during maintenance.
In a production environment, PingAM instances are typically situated behind a load balancer that performs health checks and distributes user requests. By disabling access from the load balancer (specifically, by draining connections or marking nodes as "out of service"), administrators can gracefully prevent new external users from reaching the servers undergoing the upgrade. This approach is superior to shutting down the PingAM instances (Option A) immediately, as it allows existing sessions to complete their current operations or be handled by other nodes in the cluster if a "rolling upgrade" strategy is being used.
Shutting down the PingDS instances (Option B) is dangerous, as the directory service is required by PingAM for both configuration and user data; losing the data store while the AM application is still active can lead to severe system errors and data corruption. While a firewall (Option C) can block traffic, it is generally a "blunt instrument" that does not provide the sophisticated session management or health-probe handling that a load balancer offers. The load balancer allows for a "Maintenance Page" to be displayed to users, providing a better user experience during the downtime. Therefore, for a professional multi-server upgrade, managing the traffic flow at the load balancer layer is the verified best practice in PingAM 8 documentation.
NEW QUESTION # 40
Which statement differentiates the ForgeOps Cloud Deployment Model (CDM) from the Cloud Developer Kit (CDK) deployment?
Answer: D
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 # 41
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