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[General] Valid Exam Palo Alto Networks XSIAM-Engineer Registration, Dumps XSIAM-Engineer

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【General】 Valid Exam Palo Alto Networks XSIAM-Engineer Registration, Dumps XSIAM-Engineer

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Palo Alto Networks XSIAM-Engineer Exam Syllabus Topics:
TopicDetails
Topic 1
  • Maintenance and Troubleshooting: This section of the exam measures skills of Security Operations Engineers and covers post-deployment maintenance and troubleshooting of XSIAM components. It includes managing exception configurations, updating software components such as XDR agents and Broker VMs, and diagnosing data ingestion, normalization, and parsing issues. Candidates must also troubleshoot integrations, automation playbooks, and system performance to ensure operational reliability.
Topic 2
  • Planning and Installation: This section of the exam measures skills of XSIAM Engineers and covers the planning, evaluation, and installation of Palo Alto Networks Cortex XSIAM components. It focuses on assessing existing IT infrastructure, defining deployment requirements for hardware, software, and integrations, and establishing communication needs for XSIAM architecture. Candidates must also configure agents, Broker VMs, and engines, along with managing user roles, permissions, and access controls.
Topic 3
  • Integration and Automation: This section of the exam measures skills of SIEM Engineers and focuses on data onboarding and automation setup in XSIAM. It covers integrating diverse data sources such as endpoint, network, cloud, and identity, configuring automation feeds like messaging, authentication, and threat intelligence, and implementing Marketplace content packs. It also evaluates the ability to plan, create, customize, and debug playbooks for efficient workflow automation.
Topic 4
  • Content Optimization: This section of the exam measures skills of Detection Engineers and focuses on refining XSIAM content and detection logic. It includes deploying parsing and data modeling rules for normalization, managing detection rules based on correlation, IOCs, BIOCs, and attack surface management, and optimizing incident and alert layouts. Candidates must also demonstrate proficiency in creating custom dashboards and reporting templates to support operational visibility.

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Palo Alto Networks XSIAM Engineer Sample Questions (Q385-Q390):NEW QUESTION # 385
Based on the image below, which statement applies to the ability to remove tabs when creating a new alert layout?

  • A. Only "Alert Info" tab can be removed.
  • B. Only "Work Plan" tab can be removed.
  • C. Only "Alert Info" and "War Room" tabs can be removed.
  • D. Only "War Room" and "Work Plan" tabs can be removed.
Answer: D
Explanation:
In Cortex XSIAM's Alert Layout Builder, the "War Room" and "Work Plan" tabs are optional and can be removed, while the "Alert Info" tab is mandatory and cannot be deleted. This ensures that essential alert details are always retained, while collaboration and workflow tabs can be customized.

NEW QUESTION # 386
An XSIAM customer is using a third-party, cloud-based email security gateway that often routes legitimate email traffic through various unknown or frequently changing IP addresses. This leads to numerous 'Suspicious Login Attempt from Unusual Location' alerts when users access their webmail. The SOC team wants to establish a dynamic exclusion for these alerts that allows for changes in the gateway's IP addresses, but only for events related to webmail access. Which XSIAM configuration, leveraging its advanced capabilities, would be most suitable?
  • A. Implement a 'Behavioral Whitelist' in XSIAM for all user logins from the internet, based on historical login patterns.
  • B. Manually update a static IP address list in a custom XSIAM list and use it in an 'Exclusion' rule for 'source_ip' .
  • C. Modify the underlying 'Suspicious Login Attempt from Unusual Location' rule to only trigger if the source IP is not a known corporate VPN range.
  • D. Create a Cortex XSOAR playbook that enriches 'Suspicious Login Attempt from Unusual Location' alerts with IP geolocation data and automatically closes alerts originating from the cloud email provider's region.
  • E. Configure an XSIAM 'External Dynamic List (EDL)' to ingest a list of the email gateway's current IP ranges from a URL provided by the vendor, then use this EDL in an 'Exclusion' for the 'Suspicious Login Attempt from Unusual Location' rule where 'app_protocol = 'https'' and = 443'.
Answer: E
Explanation:
Option B is the most suitable and leverages XSIAM's advanced capabilities for dynamic exclusions. External Dynamic Lists (EDLs) are designed to consume dynamic data (like changing IP addresses) from external sources. By ingesting the email gateway's current IPs via an EDL and applying this to an 'Exclusion' for the specific rule, combined with conditions for webmail access Capp_protocol = 'https" and 'dest_port = 443'), it ensures precise and dynamic false positive suppression without manual interventiom Option A is static and unsustainable. Option C is too broad. Option D is a reactive post-alert action. Option E, while good for general login behavior, doesn't directly address the specific issue of a known, legitimate but dynamic IP source for webmail access.

NEW QUESTION # 387
Your XSIAM environment is configured to ingest logs from multiple cloud providers. A recently deployed 'Cloud Instance Misconfiguration' detection rule is generating alerts for newly provisioned development instances where certain security best practices are intentionally relaxed during the initial I-hour setup phase. After this hour, a different automation tool applies the necessary hardening. You need to prevent alerts from these legitimate, temporary misconfigurations without creating blind spots for persistent misconfigurations. Which approach, leveraging XSIAM's capabilities, provides the most effective solution?
  • A. Implement a Cortex XSOAR playbook that, upon receiving a 'Cloud Instance Misconfiguration' alert, queries the cloud provider's API for the instance's creation timestamp. If the instance was created within the last hour, the playbook automatically closes the incident and records the event for auditing.
  • B. Create an XSIAM 'Exclusion' for the 'Cloud Instance Misconfiguration' rule, specifying 'resource_state = 'provisioning" and 'instance_age_seconds < 3600'. This requires XSIAM to natively support derived from event timestamps within exclusion logic.
  • C. Modify the 'Cloud Instance Misconfiguration' rule's KQL query to join with a custom lookup table of 'recently provisioned instances' and exclude them if their provision timestamp is within the last hour. This lookup table would need to be populated by an external process.
  • D. Tag all development instances in the cloud provider with 'Temporary_Exclusion' and then configure a global XSIAM rule to ignore all alerts from resources with this tag for any rule.
  • E. Define a 'Suppression Rule' in 'Alert Management' that matches 'alert_name = 'Cloud Instance Misconfiguration" and 'resource_type = with an action to 'Drop Alert' for 1 hour after the '_time' field of the event.
Answer: A
Explanation:
This scenario requires a time-based condition tied to an external data point (instance creation time), which XSIAM's native exclusion logic doesn't directly support for dynamic time calculations at the moment of exclusion evaluation. Option C is the most practical and effective solution. A Cortex XSOAR playbook can receive the alert, enrich it with real-time data from the cloud provider's API (instance creation timestamp), and then apply the I-hour logic. This allows for dynamic, context-aware decision-making that is beyond the scope of simple XSIAM exclusions. Option A relies on a non-standard field being directly usable in exclusion logic, which isn't typically available or derived in that manner. Option B is a rule modification requiring external data engineering. Option D suggests a time-based suppression directly on the '_time' field, which is not how XSIAM's suppression rules typically function for dynamic duration relative to an external event like instance creation. Option E is too broad and creates significant blind spots across all rules.

NEW QUESTION # 388
A security analyst attempts to create a custom XQL alert rule but receives an 'Insufficient Permissions' error, even though their custom role includes 'Security Operations Center - Investigate' and 'Security Operations Center - Alerts - View' permissions. Upon further investigation, it's discovered that the required permission to CREATE alert rules is missing. Which specific XSIAM permission or permission group is most likely missing from the analyst's custom role?
  • A. 'Security Operations Center - Data Ingestion - Configure'
  • B. 'Security Operations Center - Automations - Manage'
  • C. 'Security Operations Center - Incidents - Respond'
  • D. 'Security Operations Center - Rules - Manage'
  • E. 'Security Operations Center - Admin'
Answer: B
Explanation:
Creating or modifying alert rules falls under the broader category of managing security rules within XSIAM. The 'Security Operations Center - Rules - Manage' permission (or a very similarly named granular permission depending on the XSIAM version) explicitly grants the ability to create, edit, and delete alert rules. 'Investigate' and 'Alerts - View' are for viewing and interacting with existing alerts/incidents, not for creating the rules themselves. 'Admin' is too broad. 'Automations - Manage' relates to playbooks. 'Data Ingestion' is for data sources. 'Incidents - Respond' is for incident actions.

NEW QUESTION # 389
An organization is considering a hybrid XSIAM deployment, where ingestion and initial processing occur on-premises, but long-term data retention and advanced analytics (e.g., complex ML models requiring significant compute) are offloaded to a public cloud provider. What are the key hardware planning considerations on the on-premises side to facilitate this hybrid model effectively?
  • A. Ensuring the on-premises hardware is capable of running virtual machines with GPU passthrough for cloud-like machine learning capabilities, enabling seamless transition.
  • B. The on-premises hardware for ingestion must be sized to handle peak ingestion rates, with sufficient local storage (NVMe SSDs) to buffer data before transfer to the cloud.
  • C. Implementing a hardware-based data compression appliance on-premises to reduce the volume of data transferred to the cloud, minimizing egress costs.
  • D. A dedicated, high-bandwidth, low-latency network connection (e.g., Direct Connect, ExpressRoute) between the on-premises data center and the chosen cloud region is essential for efficient data transfer.
  • E. The on-premises XSIAM cluster nodes should have powerful CPUs and ample RAM to perform all necessary data parsing, normalization, and initial indexing before sending data to the cloud.
Answer: B,D,E
Explanation:
For an effective hybrid XSIAM deployment with on-premises ingestion and cloud analytics/retention, several hardware considerations on-premises are crucial. Sizing on-premises hardware for peak ingestion and providing buffer storage (A) is vital to prevent data loss or backpressure. A dedicated, high-bandwidth, low-latency network connection (B) is absolutely critical for efficient and timely data transfer to the cloud. Powerful CPUs and ample RAM on-premises (C) are necessary to perform initial data processing (parsing, normalization, basic indexing) before sending data to the cloud, offloading compute from the cloud and ensuring data is in a usable format upon arrival. While compression appliances (D) can help with costs, they are secondary to the fundamental infrastructure requirements. GPU passthrough (E) is relevant for ML but contradicts the premise of offloading advanced analytics to the cloud, making it less of a primary on-premises hardware concern for this specific hybrid model.

NEW QUESTION # 390
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