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[Hardware] Test XSIAM-Engineer Guide - Latest XSIAM-Engineer Guide Files

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【Hardware】 Test XSIAM-Engineer Guide - Latest XSIAM-Engineer Guide Files

Posted at before yesterday 07:26      View:19 | Replies:2        Print      Only Author   [Copy Link] 1#
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Palo Alto Networks XSIAM-Engineer Exam Syllabus Topics:
TopicDetails
Topic 1
  • 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.
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
  • 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.

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Palo Alto Networks XSIAM Engineer Sample Questions (Q219-Q224):NEW QUESTION # 219
An XSIAM Security Engineer is troubleshooting why certain high-severity alerts, triggered by a custom detection rule, are not consistently enriching with specific asset metadata (e.g., 'asset_owner', 'business_unit') from an external CMDB. The CMDB data is available as a daily CSV export on an SFTP server, and is ingested into a separate Data Lake dataset. The custom detection rule relies on a lookup from the CMDB dataset. The issue appears intermittent. Which factors are most likely contributing to this problem, and what content optimization strategy in XSIAM would be most effective to ensure consistent enrichment?
  • A. The CMDB CSV export has inconsistent column headers or data types, causing the XSIAM Data Flow for CMDB ingestion to fail partially or misinterpret fields, leading to incomplete dataset population for lookups.
  • B. The lookup table created from the CMDB dataset is not configured as a 'Live Lookup', meaning it's only updated periodically, leading to stale asset information for newly observed events.
  • C. The primary key used for the lookup (e.g., 'asset_ip') in the security alert data does not always exactly match the format or casing of the corresponding key in the CMDB dataset, causing lookup failures.
  • D. The volume of security alerts is too high for the CMDB lookup to process in real-time within the detection rule, leading to dropped enrichments.
  • E. The SFTP server connection for the CMDB export is intermittently failing, preventing the CMDB dataset from being updated regularly in XSIAM.
Answer: A,B,C,E
Explanation:
This is a multiple-response question. All listed options (A, B, C, E) are highly plausible and common reasons for inconsistent lookup enrichment in XSIAM: A: Inconsistent CMDB CSV export: If the source CSV's structure or data types are not stable, the CMDB ingestion Data Flow might partially fail, resulting in an incomplete or corrupted lookup dataset. This directly impacts lookup accuracy. B: Lookup table not 'Live Lookup': For real-time enrichment of active security events, the lookup table derived from CMDB data must be configured as a Live Lookup. If it's a static lookup, it won't reflect recent CMDB updates, leading to stale or missing enrichments for new assets or changes. C: Mismatched Lookup Keys: This is a very common issue. Even minor discrepancies (e.g., '192.168.1.1' vs. '192.168.001.001', or 'hostname' vs. 'HostName') will cause lookup failures. Content optimization here involves ensuring both the CMDB ingestion Data Flow and the security event Data Flow normalize the lookup key format (e.g., to lowercase, remove leading zeros, consistent IP format) before the lookup. E: Intermittent SFTP failure: If the source data for the CMDB dataset (the CSV export) is not reliably ingested due to connectivity issues, the CMDB dataset in XSIAM will become outdated or incomplete, leading to lookup failures. Option D is less likely for lookup performance itself, as XSIAM's lookup capabilities are highly optimized. High volume might impact rule processing overall, but not specifically the lookup mechanism unless the lookup dataset itself is astronomically large and unindexed, which is generally not the case for CMDB data.

NEW QUESTION # 220
Consider the following XSIAM playbook action snippet intended to update an incident artifact. An engineer reports that while the playbook runs without errors, the incident artifact is not being updated as expected.

Which of the following is the most likely reason for the incident artifact not being updated with the new 'threat_score' and 'last_seen' fields?

  • A. Option A
  • B. Option D
  • C. Option B
  • D. Option C
  • E. Option E
Answer: D
Explanation:
While 'D' (empty enrichment_result) would prevent data from being added, and 'A' (incorrect operation) could cause issues, the most fundamental reason for custom fields not being updated or appearing is that they haven't been properly defined in the XSIAM data model. For custom fields like 'threat_score' or 'last_seen' to be associated with an artifact type (like 'IP Address'), they must be explicitly defined in a Content Pack as part of the artifact's schema. Without this definition, XSIAM doesn't know how to store or display these new fields, even if the playbook attempts to set them. The 'append' operation for artifacts typically adds a new artifact if not found or updates its labels if found; for existing artifact's fields_, the fields themselves need to exist in the schema.

NEW QUESTION # 221
A sophisticated APT group is known to use custom exfiltration techniques involving DNS tunneling. They typically encode data within legitimate-looking DNS queries to external command and control (C2) domains that are rarely queried by legitimate enterprise applications. To detect this in XSIAM, a security engineer needs to craft a BIOC rule. The rule should focus on high-volume, repetitive DNS queries to unknown or suspicious domains, especially when originating from non-DNS server assets. Which combination of XSIAM XDR fields and query logic would be most effective for this BIOC, minimizing false positives?
  • A.
  • B.
  • C.
  • D.
  • E.
Answer: D
Explanation:
Option C is the most effective and sophisticated BIOC for detecting DNS tunneling. Option A relies on known malicious domains, which might change. Option B specifically looks for TXT records and high volume, which is better but doesn't account for legitimate TXT use or source of queries. Option D is too simplistic. Option E focuses on response codes and process reputation, which is useful but might miss successful exfiltration or legitimate unknowns. Option C combines multiple strong indicators: outbound DNS, queries not seen from legitimate DNS servers, queries not in known good domains (leveraging XSIAM's external reputation), unusually long query names (indicative of encoded data), queries not from the legitimate DNS service itself, and a high volume from a single host within a short time window. This multi-faceted approach significantly reduces false positives while effectively targeting the described exfiltration technique.

NEW QUESTION # 222
A newly onboarded SOC analyst is struggling to understand the context of alerts in XSIAM due to the overwhelming amount of raw log data presented. To optimize their understanding and reduce their learning curve, how can the alert layout be customized to provide more contextual information upfront, such as a summary of the alert's nature and potential impact?
  • A. By restricting the analyst's view to only show incident summaries, hiding all alert details.
  • B. By integrating an external knowledge base system with XSIAM.
  • C. By implementing a custom dashboard that aggregates alert data.
  • D. By configuring a new alert rule that only triggers on high-severity events.
  • E. By creating a custom field in the alert layout that uses an XSIAM 'Field Transformer' to generate a human-readable summary based on existing alert attributes  (e.g., 'alert_name', 'severity', 'action_taken').
Answer: E
Explanation:
To provide a human-readable summary and contextual information upfront within the alert layout, creating a custom field leveraging XSIAM's Field Transformer capabilities is an effective content optimization strategy. This allows for dynamic summarization based on existing alert attributes, directly aiding new analysts in quickly grasping the alert's nature and impact without diving deep into raw logs. Options A, C, D, and E do not directly address enhancing the contextual information within the alert's detailed view itself.

NEW QUESTION # 223
An application which ingests custom application logs is hosted in an on-premises virtual environment on an Ubuntu server, and it logs locally to a .csv file.
Which set of actions will allow the ingestion of the .csv logs into Cortex XSIAM directly from the server?
An application which ingests custom application logs is hosted in an on-premises virtual environment on an Ubuntu server, and it logs locally to a .csv file.
Which set of actions will allow the ingestion of the .csv logs into Cortex XSIAM directly from the server?
  • A. Install a Cortex XDR agent on the Ubuntu server, and configure the agent to collect the files of interest.
  • B. Install a Broker VM in the environment, and configure the CSV Collector to collect the files of interest.
  • C. Install a Broker VM in the environment, and migrate the application to the Broker VM.
  • D. Install XDR Collector on the Ubuntu server, and configure the agent to collect the files of interest.
Answer: B
Explanation:
The correct approach is to install a Broker VM in the environment and configure its CSV Collector applet to ingest the .csv log files directly from the Ubuntu server. This enables secure ingestion of custom application logs into Cortex XSIAM without modifying the application or requiring an XDR agent on the server.

NEW QUESTION # 224
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