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Palo Alto Networks XSIAM Engineer Sample Questions (Q224-Q229):

NEW QUESTION # 224
An XSIAM engineer is reviewing an incident where a critical server experienced a 'Brute Force Attempt' alert, but after investigation, it was determined to be a legitimate security scanner performing routine vulnerability assessments. The scanner's IP address (192.168.1.10) is static. To prevent future false positives from this specific scanner for this particular alert, what is the most precise and maintainable way to configure an exception in XSIAM without affecting the detection of actual brute force attempts from other sources?

A. Develop a Cortex XSOAR playbook that automatically closes any 'Brute Force Attempt' incident where 'source_ip = '192.168.1.10".
B. Change the severity of all 'Brute Force Attempt' alerts originating from internal IP addresses to 'Low'.
C. Create an 'Exclusion' associated with the 'Brute Force Attempt' detection rule, specifying 'source_ip = '192.168.1.10" as the exclusion condition.
D. Add '192.168.1.10' to a global allowlist for all detection rules in XSIAM.
E. Modify the 'Brute Force Attempt' detection rule's KQL query to include 'AND NOT source_ip = '192.168.1.10".

Answer: C

Explanation:
Option C is the most precise and maintainable. Creating an 'Exclusion' specifically tied to the 'Brute Force Attempt' detection rule and specifying the 'source_ip' ensures that only alerts from that specific IP for that specific rule are suppressed. This method is granular and doesn't impact other rules or other IPs. Option A is too broad and creates a security risk. Option B involves modifying the rule query, which is less maintainable and potentially more error-prone than a dedicated exclusion mechanism. Option D is a reactive measure (closing alerts after they are generated) rather than a proactive prevention of false positives. Option E is too broad and would hide legitimate threats from internal IPs.

NEW QUESTION # 225
An XSIAM tenant is integrated with an external SOAR platform. A critical SOAR playbook fails to trigger in XSIAM despite incident criteria being met. Upon investigation, you find that the XSIAM 'Incident Mirroring' setting for the relevant incident type is enabled, and the SOAR webhook URL is correctly configured. However, the XSIAM 'Notifications' audit log shows no entries for this specific incident being sent to the SOAR platform. The SOAR platform's logs also show no incoming requests. What advanced troubleshooting step would you perform next, assuming basic network connectivity is verified?

A. Validate the SSL certificate presented by the SOAR platform's webhook endpoint against XSIAM's trusted CAS using an external tool.
B. Deploy a temporary network sniffer (e.g., tcpdump) on a network segment where the XSIAM collector egresses traffic, to confirm if the webhook call is leaving the XSIAM infrastructure.
C. Examine the XSIAM system health dashboards for internal API errors or message queue backlogs that might prevent webhook delivery.
D. Disable and re-enable the 'Incident Mirroring' setting to force a re-synchronization with the SOAR platform.
E. Check the XSIAM incident's 'Raw Event' data for any malformed fields that might prevent mirroring due to schema validation issues.

Answer: C

Explanation:
Since the audit logs show no entry for the notification being sent, and the SOAR platform also received nothing, the problem likely lies within XSIAM's internal processing before the webhook even attempts to send. Option B, checking XSIAM's internal system health dashboards for API errors or message queue backlogs, would reveal if XSIAM itself is struggling to process notifications, preventing them from even reaching the outbound notification module. Options A is a simplistic 'reboot' approach. Option C is less likely; schema validation issues typically result in a different error message or partial mirroring, not a complete absence of an audit log entry. Option D is premature; if the audit log doesn't show the event being sent, it's unlikely to be leaving the XSIAM infrastructure. Option E is relevant if the audit log showed a send attempt and a failure, but not when there's no log entry at all.

NEW QUESTION # 226
An engineer needs to migrate Cortex XDR agents without internet connection from Cortex XSIAM tenant A to Cortex XSIAM tenant B.
There is a broker configured for each tenant. This is the communication flow:
XDR agents <-> Broker A <-> XSIAM tenant A
XDR agents <-> Broker B <-> XSIAM tenant B
Which two steps should be taken before moving the agents? (Choose two.)

A. Also register Broker A to Cortex XSIAM tenant B.
B. Install a new Broker C on site B, and register it into Cortex XSIAM tenant A.
C. Install a new Broker C on site and register it into Cortex XSIAM tenant B.
D. Select all endpoints in the console and add a new Broker C as proxy.

Answer: A,C

Explanation:
To migrate XDR agents without internet from tenant A to tenant B, the engineer must install a new Broker C registered to tenant B to establish communication, and also register Broker A with tenant B so existing agents can transition their communication path smoothly during migration.

NEW QUESTION # 227
An XSIAM deployment utilizes a custom data source for legacy security appliances that export logs in a unique, multi-line JSON format. A newly introduced log type from these appliances is failing ingestion, resulting in fragmented or truncated events in XSIAM. The custom XSIAM parsing rule is defined to handle multi-line events. Given the following snippet of a problematic log:

Which of the following is the most likely cause for the ingestion failure, and how should an XSIAM Engineer approach the fix?

A. The custom data source mapping in XSIAM is attempting to parse the 'details.message' field as a single-line string, causing truncation. Modify the schema to handle multi-line strings or CLOB data types if available.
B. The XSIAM Collector's buffer is too small to handle large multi-line JSON events. Increase the collector's ingestion buffer size via configuration files.
C. The multi-line log processing logic in XSIAM is not correctly identifying the end of an event. The presence of escaped newline characters ('In') within the 'message' field is confusing the parser, causing it to prematurely terminate the event. The XSIAM parsing rule needs a more robust 'multiline_regex' that explicitly identifies the start of a new JSON object ('A(S) or end of an event CAY).
D. The JSON data contains invalid Unicode characters that XSIAM cannot parse. Convert the source logs to UTF-8 before sending them to the Collector.
E. The source appliance is sending events faster than the XSIAM Collector can process them, leading to dropped or truncated events. Implement flow control or reduce the sending rate on the source.

Answer: C

Explanation:
This scenario highlights a common pitfall with multi-line parsing: internal newlines. If a multi-line parser relies on simple newline detection, an escaped newline C ') within a field can trick it into prematurely cutting off an event. Option B correctly identifies this specific issue and proposes a robust 'multiline_regex' (e.g., matching the start of a new JSON object) to correctly delineate events. Option A is a general performance issue. Option C would lead to different parsing errors. Option D would cause complete drops, not fragmentation/truncation of specific events. Option E is about schema definition after parsing, not the initial ingestion and event boundary detection.

NEW QUESTION # 228
An organization is deploying a new web application and wants to ensure robust detection of common web-based attacks using XSIAM.
They have observed several attempts of SQL Injection and Cross-Site Scripting (XSS) during pre-production testing. To optimize their detection content, which of the following XSIAM content management strategies would be most effective for creating high-fidelity detection rules for these attack types, leveraging both IOCs and BIOCs?

A. Rely solely on out-of-the-box XSIAM rules for web attacks, as they are generally comprehensive.
B. Create custom IOC rules based on known malicious IP addresses and URLs found in threat intelligence feeds related to web attacks.
C. Implement a simple keyword-based search in XSIAM for common SQLi keywords like 'SELECT FROM' and XSS keywords like '<script>'.
D. Develop BIOC rules that analyze web server logs for unusual HTTP request parameters, abnormal response codes, and sequences of requests indicative of SQLi or XSS payloads, while also incorporating IOCs for known attack patterns.
E. Configure network-based firewalls to block all traffic containing 'SQL' or 'XSS' in the payload.

Answer: D

Explanation:
Option C is the most effective. While out-of-the-box rules (A) are a good starting point, custom rules are often needed for specific applications. IOCs (B) are good for known threats but won't catch novel or polymorphic attacks. Simple keyword searches (D) are prone to high false positives and evasion. Blocking all 'SQL' or 'XSS' (E) will undoubtedly break legitimate application functionality. Option C combines the strength of behavioral analysis (BIOCs) by looking at patterns and sequences that indicate an attack, which is crucial for SQLi and XSS, with the precision of IOCs for known attack signatures. This hybrid approach provides robust and adaptable detection.

NEW QUESTION # 229
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