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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: High Availability Clustering | 20% | - Control and Data Plane Synchronization - Configuration and Troubleshooting - Chassis Cluster Architecture - Failover Behavior |
| Topic 2: Security Policy | 25% | - Policy Logging - Policy Components and Structure - Policy Scheduling - Policy Troubleshooting |
| Topic 3: UTM (Unified Threat Management) | 15% | - Antivirus - Antispam - Content Filtering - Web Filtering |
| Topic 4: Screen Options | 15% | - Attack Detection and Mitigation - Screen Options Configuration - Custom Screen Options |
| Topic 5: IPsec VPNs | 25% | - Policy-Based VPNs - Route-Based VPNs - IKE Phase 1 and Phase 2 - VPN Troubleshooting - VPN High Availability |
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NEW QUESTION # 41
You want to control when cluster failovers occur.
In this scenario, which two specific parameters would you configure on an SRX Series device? (Choose two.)
Answer: B,C
Explanation:
To control when cluster failovers occur, you need to configure two specific parameters on an SRX Series device: heartbeat-interval and heartbeat-threshold. These parameters determine how often the nodes in a cluster exchange heartbeat messages and how many consecutive heartbeats can be missed before a failover is triggered. The heartbeat-interval specifies the time interval in seconds between each heartbeat message. The default value is 1 second and the range is from 0.1 to 10 seconds. The heartbeat- threshold specifies the number of consecutive heartbeats that must be missed before a failover occurs.
The default value is 3 and the range is from 2 to 255.
Reference: = Configuring Chassis Clustering on SRX Series Devices, Chassis Cluster Redundancy Group Failover
NEW QUESTION # 42
Which two statements describe how Juniper ATP Cloud improves security? (Choose two.)
Answer: A,D
Explanation:
The correct answers are B and C. Juniper ATP Cloud improves security by delivering cloud-based threat detection, malware analysis, and enforcement integration with SRX Series Firewalls. Juniper describes ATP Cloud as using shared cloud intelligence so customers benefit from new threat intelligence in near real time. It also provides zero-day threat protection, machine-learning-based malware detection, inline malware blocking, and policy actions that can stop malware, quarantine infected systems, prevent data exfiltration, and disrupt lateral movement.
Option C is also correct because Juniper ATP Cloud uses dynamic analysis, commonly called sandboxing. In this process, a suspicious file is executed in a secure environment while tools monitor its activity. Juniper further explains that ATP Cloud uses deception techniques to make the sandbox appear like a real user environment, including simulated mouse movement, keystrokes, common software packages, realistic network access, stored credentials, and vulnerable OS areas. This encourages evasive malware to execute and reveal malicious behavior.
Option A is weaker and not the best answer because logging alone is not the key ATP Cloud security- improvement mechanism being tested. Option D is wrong because ATP Cloud is a threat-prevention service, not a performance-acceleration technology. Reference topics: ATP Cloud, malware analysis, dynamic sandboxing, machine learning, threat intelligence, inline malware blocking.
NEW QUESTION # 43
Referring to the exhibit, what should you do to ensure that Juniper ATP Cloud detects malware in HTTPS traffic?
Answer: A
Explanation:
The correct answer is A. Manually configure and apply an SSL proxy profile. HTTPS traffic is encrypted, so ATP Cloud cannot extract and submit downloaded files for malware analysis unless the SRX can decrypt the SSL/TLS session first. Juniper's ATP Cloud documentation states that to detect malware in HTTPS traffic, you must configure the SSL inspection CA used for SSL forward proxy, and the ATP Cloud policy workflow specifically includes configuring an SSL proxy profile to inspect HTTPS traffic. Juniper's example shows the SSL proxy profile being created with a root CA and then applied so HTTPS sessions can be inspected before advanced anti-malware processing occurs.
Option B is wrong because lowering the threat score only changes the enforcement threshold after a file verdict is returned; it does not solve the inability to inspect encrypted payloads. Option C is wrong because changing the ATP device profile alone does not decrypt HTTPS traffic. The exhibit already shows a malware profile and HTTP file-download configuration, but HTTPS malware detection still requires SSL proxy.
Option D is wrong because Junos ATP Cloud integration does not require redirecting encrypted traffic to a separate decryption appliance for this task. The SRX performs SSL forward proxy locally, then advanced anti- malware can inspect extracted content. Reference topics: ATP Cloud, HTTPS malware inspection, SSL forward proxy, SSL inspection CA, advanced anti-malware policy.
NEW QUESTION # 44
Exhibit
Which two statements are correct about the configuration shown in the exhibit? (Choose two.)
Answer: A,D
Explanation:
The log session-init; command within the policy configuration specifies that an event log entry will be created every time a session is initialized, meaning each new session will generate a log event. This is useful for tracking and analyzing the traffic flows entering the device.
Changing session-init to session-close in the log statement would mean that the device logs sessions when they close instead of when they open. This setting is typically used to log details about the session upon termination, which can help in analyzing the duration, end status, and other parameters of sessions, including those of unidentified flows.
NEW QUESTION # 45
After JSA receives external events and flows, which two steps occur? (Choose two.)
Answer: C,D
Explanation:
When JSA (Juniper Secure Analytics) receives external events and flows, the typical processing steps are:
Option C. Before the information is filtered, the information is formatted.
Data formatting is an initial step in the process where raw data from events and flows is converted into a standard format that can be more easily processed and analyzed by JSA.
Option A. After formatting the data, the data is stored in an asset database.
Once the data is formatted, it is stored in an asset database. This database acts as a repository for all the formatted data, enabling JSA to perform further analysis, correlation, and eventually, to maintain a comprehensive view of the network assets and activities.
These steps are part of JSA's comprehensive approach to security event management, which involves collecting, normalizing, and analyzing data to identify potential security threats and vulnerabilities efficiently.
NEW QUESTION # 46
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