CyberArk CyberArk Sentry Secrets Manager SECRET-SEN Exam Dumps: Updated Questions & Answers (September 2025)

The correct answer is A. The certificate does not contain the Follower hostname as a Subject Alternative Name (SAN). Generate a new certificate for the Follower.

A possible explanation is:

A Follower is a read-only node that replicates data from the Leader node in a Secrets Manager cluster. A Follower can serve requests from clients and applications that need to retrieve secrets or perform other read-only operations. To connect to a Follower with a REST call, the client or application needs to use the server certificate that was generated for the Follower during the installation process. The server certificate is used to establish a secure and trusted connection between the client or application and the Follower.

However, if the server certificate does not contain the Follower hostname as a Subject Alternative Name (SAN), the connection will fail with an SSL connection refused error. This is because the SAN is an extension of the X.509 certificate standard that allows the certificate to specify multiple hostnames or IP addresses that the certificate is valid for. If the Follower hostname is not included in the SAN, the client or application will not be able to verify the identity of the Follower, and will reject the connection.

To fix this problem, a new server certificate needs to be generated for the Follower, with the Follower hostname added to the SAN. The new certificate can be generated using the openssl command or another tool that supports the SAN extension. The new certificate also needs to be signed by the same certificate authority (CA) that signed the original certificate, and the CA certificate needs to be trusted by the client or application. The new certificate then needs to be copied to the Follower node and configured in the nginx.conf file. The Follower node also needs to be restarted for the changes to take effect.

References = Secrets Manager Cluster Installation; Secrets Manager Cluster Configuration; Subject Alternative Name - Wikipedia

B. Review the log file ‘CreateEnv.log’ and investigate any error messages it contains.

This is the best option because the CreateEnv.log file records the steps and results of creating the CP environment in the Vault during the installation. The CP environment includes the safe, the provider user, the application user, and the application identity. If any errors occurred when creating the CP environment, they will be logged in this file and may indicate a problem with the Vault connection, the credential file, the permissions, or the configuration. Reviewing the log file can help to identify and resolve the root cause of the errors and ensure the CP environment is properly set up.

Continuing configuring the application to use the CP without further action is not a good option because it may lead to unexpected or inconsistent behavior of the CP or the application. The errors that occurred when creating the CP environment may affect the security, availability, or integrity of the credentials or the application. Ignoring the errors may also make it harder to troubleshoot or fix them later.

Running setup.exe again and selecting ‘Recreate Vault Environment’ is not a good option because it may overwrite or delete the existing CP environment and cause more errors or conflicts. Recreating the Vault environment should only be done after reviewing the log file and understanding the cause of the errors. Moreover, recreating the Vault environment may require more privileges than creating it for the first time, as some objects may be already in use or locked.

Reviewing the PVWA logs to determine which REST API call used during the installation failed is not a good option because it may not provide enough information or context to understand or resolve the errors. The PVWA logs may show the HTTP status codes or messages of the REST API calls, but they may not show the details or parameters of the calls or the responses. The PVWA logs may also contain other unrelated or irrelevant entries that may confuse or distract from the errors. The CreateEnv.log file is a more specific and reliable source of information for the errors that occurred when creating the CP environment.

According to the CyberArk Sentry Secrets Manager documentation, Conjur is a secrets management solution that consists of a leader node and one or more follower nodes. The leader node is responsible for managing the secrets, policies, and audit records, while the follower nodes are read-only replicas that can serve secrets requests from applications. Additionally, Conjur supports a standby node, which is a special type of follower node that can be promoted to a leader node in case of a leader failure. A standby node is synchronized with the leader node and can take over its role in a disaster recovery scenario. A possible Conjur node role change is when a standby node is promoted to a leader node, either manually or automatically, using the auto-failover feature. A follower node cannot be promoted to a leader node, as it does not have the same data and functionality as the leader node. A standby node cannot be promoted to a follower node, as it already has the same capabilities as a follower node, plus the ability to become a leader node. A leader node cannot be demoted to a standby node in the event of a failover, as it would lose its data and functionality and would not be able to resume its role as a leader node. References: 1: Conjur Architecture 2: Deploying Conjur on AWS 3: Auto-failover

AWS -> authn-iam

Azure -> authn-azure

GCP -> authn-gcp

JWT Provider -> authn-jwt

Explanation: Conjur supports different authenticators for different cloud platforms. Each authenticator allows a resource or service running on the cloud platform to authenticate to Conjur using a unique identity token signed by the cloud provider. The following are the descriptions of each authenticator:

authn-iam: Enables an AWS resource to use its AWS IAM role to authenticate with Conjur. The resource sends a request to the AWS Security Token Service (STS) to get a signed AWS access token, and then sends the token to Conjur for verification.

authn-azure: Enables an Azure resource to authenticate with Conjur. The resource sends a request to the Azure Instance Metadata Service (IMDS) to get a signed Azure access token, and then sends the token to Conjur for verification.

authn-gcp: Enables a Google Cloud Platform resource to authenticate with Conjur. The resource sends a request to the Google Cloud Identity and Access Management (IAM) service to get a signed Google identity token, and then sends the token to Conjur for verification.

authn-jwt: Enables an application to authenticate to Conjur using a JWT from a JWT Provider. The application obtains a JWT from the JWT Provider, and then sends the JWT to Conjur for verification.

References: You can find more information about the Conjur authenticators in the following resources:

Supported Conjur Cloud authenticators

Configure Conjur Cloud authenticators

GCP Authenticator

 Dual accounts is a password management method that uses two accounts with identical privileges to access a system, database, or application. One account is active and the other is inactive at any given time. The active account remains untouched during password rotation, while the inactive account has its password changed after a grace period. This way, the application can always use the active account without experiencing any delays or errors due to password expiration or change. The advantage of using dual accounts is that it ensures business continuity and seamless access to the target resource, especially for high load and critical applications. References: Manage Dual Accounts, Configure dual accounts

The correct answer is A. On the new Leader, generate a Standby seed for the old Leader node and add it to the cluster member list. Rebuild the old Leader as a new Standby and then re-enroll the node to the cluster.

This is the recommended way to repair the cluster health after an auto-failover event, according to the CyberArk Sentry Secrets Manager documentation1. This method reuses the original Leader as a new Standby, without affecting the new Leader or the other Standby. The steps are as follows:

On the new Leader, generate a Standby seed for the old Leader node using the command evoke seed standby . This will create a file named .tar in the current directory.

On the new Leader, add the old Leader node to the cluster member list using the command evoke cluster add .

On the old Leader server, stop and remove the container using the commands docker stop  and docker rm .

On the old Leader server, copy the Standby seed file from the new Leader using the command scp :.tar .

On the old Leader server, create a new container using the same name as the one you just destroyed, and load the Standby seed file using the command docker run --name -d --restart=always -v /var/log/conjur:/var/log/conjur -v /opt/conjur/backup:/opt/conjur/backup -p "443:443" -p "5432:5432" -p "1999:1999" cyberark/conjur:latest seed fetch .tar

On the old Leader server, re-enroll the node to the cluster using the command evoke cluster enroll

The other options are not correct, as they either involve unnecessary or harmful steps, such as rebuilding the new Leader or the other Standby, or re-uploading the auto-failover policy in replace mode, which may cause data loss or inconsistency.

According to the CyberArk Sentry Secrets Manager documentation, auto-failover is a feature that enables the automatic promotion of a standby node to a leader node in case of a leader failure. Auto-failover requires a quorum, which is a majority of nodes in the cluster that are available and synchronized. A quorum ensures that only one node can be promoted to a leader at a time and prevents split-brain scenarios. In the exhibit, each option shows a network diagram of a load balancer and four nodes, one of which is crossed out with a red X, indicating a leader failure. The text below each diagram indicates whether there is a quorum or not. Option C is the only example where auto-failover will occur, because there is a quorum of three out of four nodes, and one of the standby nodes can be promoted to a leader. Option A will not have auto-failover, because there is no quorum, as only two out of four nodes are available. Option B will not have auto-failover, because there is no quorum, as only one out of four nodes is available. Option D will not have auto-failover, because there is no quorum, as none of the nodes are available. References: 1: Auto-failover 2: Configure auto-failover

This is the correct answer because a minimal Conjur deployment that integrates with an existing CyberArk PAM Vault environment, supports high availability, and is redundant across two geographically disparate regions requires the following servers:

2 Linux servers for the Conjur master cluster, one in each region. The master cluster consists of a leader and a standby node that can automatically failover in case of a leader failure. The leader node performs read/write operations on the Conjur database and policy engine, while the standby node replicates the leader data and can be promoted to leader if needed. The master cluster also hosts the Conjur UI and API endpoints.

4 Linux servers for the Conjur follower clusters, two in each region. The follower clusters consist of one or more follower nodes that perform read-only operations on the Conjur database and policy engine, such as authentication, authorization, and secret retrieval. The follower clusters are horizontally scalable and can be configured behind a load balancer to handle high volumes of requests from applications and clients. The follower clusters also host the Conjur Synchronizer service, which synchronizes secrets from the CyberArk PAM Vault to the Conjur database.

2 Linux servers for the Conjur seed fetcher service, one in each region. The seed fetcher service is a utility that runs on a separate server and periodically fetches the Conjur seed files from the master cluster and distributes them to the follower clusters. The seed files contain the configuration and encryption keys that are required to join a follower node to the Conjur cluster. The seed fetcher service ensures that the follower clusters are always updated with the latest seed files and can join the Conjur cluster without manual intervention.

2 Windows servers for the CyberArk Central Credential Provider (CCP), one in each region. The CCP is a component that provides secure and centralized credential management for applications and clients that need to access secrets from the CyberArk PAM Vault. The CCP exposes a web service interface that allows applications and clients to request credentials based on their identity and permissions. The CCP integrates with the Conjur Synchronizer service to retrieve the secrets from the Conjur database and cache them locally for faster access.

Therefore, the total number of servers required for this deployment is 9 Linux servers and 2 Windows servers. This deployment architecture is based on the Conjur documentation1 and the Conjur training course2.

The log entry shows a failed authentication attempt with Conjur using the authn-jwt method. This method allows applications to authenticate with Conjur using JSON Web Tokens (JWTs) that are signed by a trusted identity provider. In this case, the application is Jenkins, which is a CI/CD tool that can integrate with Conjur using the Conjur Jenkins plugin. The plugin allows Jenkins to securely retrieve secrets from Conjur and inject them as environment variables into Jenkins pipelines or projects.

The log entry indicates that the JWT sent by Jenkins was rejected by Conjur because of an SSL connection error. The error message says that the certificate chain of Jenkins could not be verified by Conjur, and that the certificate authority (CA) that signed the Jenkins certificate was unknown to Conjur. This means that the Jenkins certificate chain is not trusted by Conjur, and that Conjur does not have the CA certificate of Jenkins in its trust store. Therefore, Conjur cannot establish a secure and trusted connection with Jenkins, and cannot validate the JWT signature.

To fix this problem, the Jenkins certificate chain needs to be trusted by Conjur. This can be done by copying the CA certificate of Jenkins to the Conjur server, and adding it to the Conjur trust store. The Conjur trust store is a directory that contains the CA certificates of the trusted identity providers for the authn-jwt method. The Conjur server also needs to be restarted for the changes to take effect.

References = Conjur Jenkins Plugin; Conjur JWT Authentication; Conjur Trust Store

According to the CyberArk Sentry Secrets Manager documentation, Conjur is a secrets management solution that consists of a leader node and one or more follower nodes. The leader node is responsible for managing the secrets, policies, and audit records, while the follower nodes are read-only replicas that can serve secrets requests from applications. To achieve high availability in AWS cloud infrastructure, the minimally viable Conjur deployment architecture is to have one follower in each availability zone (AZ) and a load balancer for the region. This way, if one AZ fails, the applications can still access secrets from another AZ through the load balancer. Having two followers in each region, load balanced for the region, is not enough to ensure high availability, as a regional outage can affect both followers. Having two followers in each AZ, load balanced for the region, is more than necessary, as one follower per AZ can handle the secrets requests. Having two followers in each region, load balanced across all regions, is not feasible, as Conjur does not support cross-region replication. References: 1: Conjur Architecture 2: Deploying Conjur on AWS