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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Security Policy | 25% | - Policy Logging - Policy Components and Structure - Policy Scheduling - Policy Troubleshooting |
| Topic 2: IPsec VPNs | 25% | - Route-Based VPNs - IKE Phase 1 and Phase 2 - Policy-Based VPNs - VPN Troubleshooting - VPN High Availability |
| Topic 3: Screen Options | 15% | - Attack Detection and Mitigation - Custom Screen Options - Screen Options Configuration |
| Topic 4: UTM (Unified Threat Management) | 15% | - Web Filtering - Antivirus - Content Filtering - Antispam |
| Topic 5: High Availability Clustering | 20% | - Control and Data Plane Synchronization - Configuration and Troubleshooting - Failover Behavior - Chassis Cluster Architecture |
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NEW QUESTION # 53
On an SRX Series firewall, what are two ways that Encrypted Traffic Insights assess the threat of the traffic? (Choose two.)
Answer: A,D
Explanation:
Encrypted Traffic Insights is a feature that enables the SRX Series firewall and the ATP Cloud to detect malicious threats that are hidden in encrypted traffic without decrypting the traffic. It does so by analyzing the metadata and connection patterns of the encrypted sessions.
Two ways that Encrypted Traffic Insights assess the threat of the traffic are:
It validates the certificates used: The SRX Series firewall extracts the server certificate from the encrypted session and compares its signature with a blocklist of known malicious certificates provided by ATP Cloud. If there is a match, the session is blocked and reported as a threat.
It reviews the timing and frequency of the connections: The SRX Series firewall sends the connection details, such as source and destination IP addresses, ports, protocols, and timestamps, to ATP Cloud.
ATP Cloud applies behavior analysis and machine learning algorithms to detect anomalous or suspicious patterns of connections, such as high frequency, low duration, or unusual timing. Reference: = Juniper Networks Expands Connected Security Portfolio with Encrypted Traffic Analysis for Juniper Advanced Threat Prevention and SecIntel for Mist Wireless, Encrypted Traffic Insights Overview, Configure Encrypted Traffic Insights
NEW QUESTION # 54
After JSA receives external events and flows, which two steps occur? (Choose two.)
Answer: B,C
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 # 55
What are two ways to help reduce false positives for an IDP rule? (Choose two.)
Answer: A,C
Explanation:
The correct answers are B and C. IDP false positives occur when legitimate traffic matches an attack signature or attack object incorrectly. One valid way to reduce false positives is to remove the problematic attack object from the IDP rule, especially when that object is not relevant to the protected application, server role, or traffic direction. Juniper defines attack objects as the items specified in IDP rules to identify malicious activity, so removing an irrelevant or noisy attack object directly reduces unwanted matches.
Option C is also correct because Juniper specifically recommends using an exempt rulebase when an IDP rule uses an attack object group containing attack objects that produce false positives or irrelevant log records.
Exempt rules can exclude a specific source, destination, or source/destination pair from matching an IDP rule, preventing unnecessary alarms.
Option A is wrong because changing the action to a lower severity response does not reduce the false positive; it only changes what happens after the false match occurs. Option D is wrong because a terminal rule at the end of the rule base does not prevent earlier false-positive matches. Reference topics: IDP, attack objects, exempt rulebase, false-positive tuning, IDP rule matching.
NEW QUESTION # 56
Click the Exhibit button.
You are asked to create a security policy that will automatically add infected hosts to the infected hosts feed and block further communication through the SRX Series device.
What needs to be added to this configuration to complete this task?
Answer: C
Explanation:
To create a security policy that will automatically add infected hosts to the infected hosts feed and block further communication through the SRX Series device, you need to add a security intelligence policy to the permit portion of the security policy. A security intelligence policy is a policy that allows you to block or monitor traffic from malicious sources based on threat intelligence feeds from Juniper ATP Cloud or other providers. One of the feeds that you can use is the Infected-Hosts feed, which contains IP addresses of hosts that are infected with malware and communicate with command-and-control servers.
You can create a profile and a rule for the Infected-Hosts feed and specify the threat level and the action to take for the infected hosts. Then, you can link the security intelligence policy with the firewall policy and apply it to the traffic that you want to protect. Reference: = Security Intelligence Overview, Configuring Security Intelligence Policy, Configure the Security Intelligence Policy on the SRX Series Device
NEW QUESTION # 57
Which two statements are true about application identification? (Choose two.)
Answer: A,D
Explanation:
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]
NEW QUESTION # 58
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