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  1. Home
  2. Palo Alto Networks Certification
  3. XSIAM-Engineer Exam
  4. PaloAltoNetworks.XSIAM-Engineer.v2025-11-03.q158 Dumps
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Question 1

A new CISO mandates that all security incidents exceeding a 'High' severity in XSIAM must automatically generate a Jira ticket and send a Microsoft Teams notification to a specific channel, without manual intervention. The existing 'Jira Integration' and 'Microsoft Teams' content packs are already installed. What steps would you take to implement and maintain this automation, specifically focusing on content pack utilization and best practices for future updates?

Correct Answer: C
Option C represents the best practice for implementing and maintaining such automation within the XSIAM ecosystem. Creating a new, dedicated content pack for 'Incident Escalation Automation' ensures that your custom logic is modular, isolated, and doesn't interfere with the integrity or update path of the vendor-provided Jira and Teams content packs. It also allows for independent versioning and management of this specific automation. Option A is a good starting point but doesn't encapsulate it into a manageable content pack. Option B is a poor practice as it modifies vendor-provided content packs, making updates problematic. Option D bypasses XSIAM's native automation capabilities. Option E might work but loses the auditing and orchestration benefits of XSIAM playbooks.
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Question 2

A Palo Alto Networks XSIAM engineer is reviewing an XQL-based detection rule that frequently generates alerts, but many are confirmed false positives. The rule contains a complex XQL query that joins multiple datasets. To optimize performance and reduce false positives without rewriting the entire query, the engineer decides to: 1. Add a new filter condition to the existing detection rule to narrow down the initial data set (e.g., 'and not event.process_name contains 'C:\Program Files\SpecificApp\ P). 2. Create a new scoring rule that checks for a specific benign pattern not easily handled by the detection rule's XQL (e.g., = and applies a negative additive score. Which of the following statements accurately describes the expected impact of these content optimization actions?

Correct Answer: B
Option B accurately describes the expected impact. 1. Adding a new filter condition to the detection rule: This modifies the detection logic itself. By adding 'and not event.process_name contains 'C:\Program " , the detection rule will process a smaller, more refined dataset, directly preventing alerts for the excluded process. This will improve the detection rule's performance because it's sifting through less data and reduce the number of generated alerts (false positives) by preventing them from meeting the detection criteria. 2. Creating a new scoring rule with negative additive score: Scoring rules operate after an alert has been generated by a detection rule. If an alert matches the scoring rule's condition Calert.custom_field = its score will be reduced. This reduces the criticality (priority) of the alert in the SOC queue and helps with alert fatigue, but it does not prevent the alert from being generated in the first place. Option A: Incorrect. The scoring rule reduces criticality, but does not suppress generation. Option C: Incorrect. Scoring rules operate post-detection; they do not prevent detection rules from running. Option D: Incorrect. Filtering will improve performance by reducing data volume, and scoring rules do affect the underlying score, not just visualization. Option E: Incorrect. Both actions are valid and effective content optimization techniques for different aspects.
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Question 3

A security architect is planning the network segmentation for a new XSIAM deployment in a hybrid cloud environment. The on-premises Data Collectors will ingest logs from various sources, including Active Directory, firewalls, and endpoint security solutions. The XSIAM Data Lake is hosted on Google Cloud Platform. Which of the following communication protocols and considerations are paramount for ensuring secure and efficient data ingestion from on-premises Data Collectors to the XSIAM Data Lake, assuming a strict zero-trust policy?

Correct Answer: B
Option B is the most robust and secure approach. Encrypted Syslog (TLS) secures local log forwarding. HTTPS with TLS 1.2+ and mutual TLS authentication provides strong authentication and encryption for Data Collector to Data Lake communication, crucial for sensitive security data. A dedicated VPN tunnel further enhances security by creating a private, encrypted path over the public internet, aligning with zero-trust principles. Options A, C, D, and E either lack sufficient security, are inefficient, or bypass necessary components/best practices.
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Question 4

The CISO requests a custom XSIAM reporting template that provides a weekly 'Executive Summary' of the top 3 critical threats detected, their MITRE ATT&CK techniques, the number of affected assets, and their geographic distribution. This report needs to be distributed as a PDF via email every Monday morning. To automate this, which XSIAM capabilities must be leveraged?

Correct Answer: B
Automating a comprehensive executive summary report with specific content and delivery requirements necessitates XSIAM's advanced reporting features. Option B accurately describes the necessary steps. A custom report template allows integrating complex XQL queries to derive the top threats, their MITRE ATT&CK techniques (likely requiring a with MITRE data or pre-enriched incident data), and affected join assets. Geographic distribution necessitates a 'Map' visualization within the report. Crucially, XSIAM's report scheduling feature supports automated email delivery in PDF format, directly addressing the CISO's request. Options A, C, D, and E are either manual, insufficient, or external to XSIAM's integrated reporting capabilities.
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Question 5

An XSIAM Playbook needs to determine if an observed file hash is part of a known good whitelist before submitting it to a sandboxing service. The whitelist is a large, dynamically updated list stored in an external S3 bucket. Due to the size and dynamic nature, it cannot be directly embedded or frequently fetched entirely within the Playbook. How can the Playbook efficiently and securely check if a specific hash exists in this remote whitelist without incurring excessive API calls or processing overhead within the Playbook itself?

Correct Answer: B
Downloading the entire large, dynamic whitelist (A) is inefficient and resource-intensive. XQL (C) doesn't directly query arbitrary external S3 buckets for real-time, arbitrary data lookups in this manner. A 'Lookup List' (D) is a good option for managing whitelists, but if it's 'too large' and 'dynamically updated' such that periodic updates are insufficient or cause performance issues, then a custom intermediary service is superior. A 'Manual Review' (E) defeats automation. Therefore, using a custom serverless function (B) is the most efficient and scalable approach. The Playbook makes a single API call to this function, which handles the complex, potentially optimized lookup against the large S3 data, returning a simple result. This offloads the heavy lifting from the Playbook engine.
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