The correct answers are B and D. In Junos SSL proxy terminology, client protection maps to SSL forward proxy. In a forward-proxy deployment, the SRX sits between internal clients and external SSL/TLS servers.
The firewall intercepts the server certificate, generates a substitute certificate, signs it with the configured root CA, decrypts the SSL session for inspection, and then re-encrypts traffic toward the destination server.
Juniper's SSL proxy configuration table shows that a forward-proxy profile uses root-ca configured = Yes and server-certificate configured = No. It also states that configuring neither certificate type fails commit validation, while configuring both root-ca and server-certificate in the same profile is unsupported.
Option A is wrong because a server certificate is required for reverse proxy/server protection, not for client- protection forward proxy. Option C is wrong because without a trusted root CA, client browsers would not trust the certificates generated by the SRX during interception. Juniper separately notes that the root CA certificate is required for client browsers to trust certificates signed by the firewall. Reference topics: SSL Proxy, client protection, SSL forward proxy, root CA, server protection, SSL reverse proxy.

Application identification is a feature that enables SRX Series devices to identify and classify network traffic based on application signatures or custom rules. Application identification can enhance security, visibility, and control over network applications.
Two statements that are true about application identification are:
Application identification can identify nested applications that are within Layer 7: Nested applications are applications that run within another application protocol, such as HTTP or SSL. For example, Facebook or YouTube are nested applications within HTTP. Application identification can identify nested applications by inspecting the application payload and matching it against predefined or custom signatures.
Application signatures are not the same as IDP signatures: Application signatures are patterns of bytes or strings that uniquely identify an application protocol or a nested application. IDP signatures are patterns of bytes or strings that indicate an attack or an exploit against a vulnerability. Application signatures are used for application identification and classification, while IDP signatures are used for intrusion detection and prevention.
Reference: = [Application Identification Overview], [Application Identification Concepts], [Understanding Signature Rules and Protocol Anomaly Rules]

The correct answers are B and C. To form an SRX chassis cluster, both devices must be assigned the same cluster ID and different node IDs. Juniper states that the cluster ID identifies the cluster, while the node ID identifies the individual node within that cluster. A valid two-node SRX chassis cluster uses node 0 on one chassis and node 1 on the other chassis. Juniper's example shows the operational-mode commands as set chassis cluster cluster-id 1 node 0 reboot on the first device and set chassis cluster cluster-id 1 node 1 reboot on the second device.
Option A is wrong because cluster-id 0 disables clustering rather than forming a cluster. It also shows configuration-mode prompt #, while this chassis cluster node assignment is performed from operational mode.
Option D is doubly wrong: cluster-id 0 disables clustering, and node 2 is invalid because SRX chassis cluster node IDs are limited to 0 and 1. The exam options omit the reboot keyword, but the only logically valid pair is still SRX1 as node 0 and SRX2 as node 1 under the same nonzero cluster ID. Reference topics: HA Clustering, chassis cluster ID, node ID, operational-mode cluster enablement.

Statistical sampling involves collecting a representative subset of data rather than examining all traffic.
While this method decreases processor utilization by reducing the volume of data that must be analyzed and stored, it can also lead to decreased accuracy in event correlation because not all events are captured.
Superflows in JSA are aggregated flow records that represent summaries of multiple flow records. This aggregation reduces the number of flows that need to be processed and stored, which can help in managing licensing requirements related to the volume of traffic being analyzed, especially in environments with high traffic volumes.