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Palo Alto Networks XSIAM-Engineer Exam Syllabus Topics:

Topic	Details
Topic 1	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 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	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 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.

>> XSIAM-Engineer Exam Topics <<

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Palo Alto Networks XSIAM Engineer Sample Questions (Q355-Q360):

NEW QUESTION # 355
A Security Operations Center (SOC) team using Palo Alto Networks XSIAM needs a custom dashboard to monitor anomalous login attempts and compare them against a baseline of typical user behavior over the last 30 days. The dashboard must alert on deviations exceeding 3 standard deviations from the mean. Which XSIAM dashboard components and data sources are most appropriate for this requirement?

A. XQL queries on authentication_logs with timechart and stdev functions, visualized using 'Trend' widgets.
B. Manual review of raw event collector data exported to a CSV and analyzed in an external spreadsheet.
C. Log forwarding to a SIEM for correlation, as XSIAM dashboards lack advanced statistical anomaly detection.
D. Pre-built 'User Behavior Analytics' widgets without custom modifications, as they automatically handle baselining.
E. Cortex XDR incident response playbooks configured to send email alerts, bypassing the need for a dashboard.

Answer: A

Explanation:
To monitor anomalous login attempts against a baseline and alert on deviations, XSIAM's custom dashboard capabilities are essential. Option A leverages XQL (Cortex Query Language) to query authentication logs. The command can aggregate data over time, timechart and statistical functions like (standard deviation) are crucial for defining baselines and identifying outliers. 'Trend' widgets are ideal for stdev visualizing time-series data and deviations. Options B, C, D, and E do not fully address the custom baselining and visualization requirements within XSIAM or are less efficient/appropriate for this specific scenario.

NEW QUESTION # 356
An administrator is attempting to perform a factory reset of a Broker VM to redeploy it in a different environment. After logging into the Broker VM's console, they execute the factory-reset command. The command appears to run successfully, but upon reboot, the Broker VM still retains its previous network configuration and XSIAM registration. What is the most probable cause of this issue, and what step was likely missed or incorrectly assumed?

A. The Broker VM's disk image was corrupted, preventing the factory reset operation from writing the new configuration.
B. The administrator did not confirm the reset prompt with a specific confirmation phrase or action, leading to a 'dry run' of the command.
C. The Broker VM requires a network connection to the XSIAM cloud during the factory reset process to de-register itself properly.
D. The factory-reset command requires a specific parameter, such as --full-reset, to wipe network and registration details.
E. The factory-reset command only clears log data and not system configuration; a fresh OVA deployment is required for a full reset.

Answer: B

Explanation:
The command on the Broker VM typically requires an explicit confirmation, often a specific phrase or a series of factory-reset confirmations, to prevent accidental resets. If this confirmation is not provided correctly, the command might appear to execute but essentially performs a 'dry run' or aborts without applying changes. Therefore, the most probable cause is that the administrator missed or incorrectly handled the confirmation prompt (C). Option A is incorrect; is designed to reset the configuration. Option B is unlikely without other factory-reset symptoms. Option D is incorrect; de-registration happens after the reset on the next successful connection. Option E is plausible for some CLI tools but not the documented behavior for Broker VM's factory reset, which typically uses a clear confirmation prompt.

NEW QUESTION # 357
An XSIAM engineer is investigating a persistent alert from an indicator rule that flags 'attempts to modify critical system files.' The rule's current XQL is:

After analysis, it's determined that legitimate patching and antivirus updates are triggering these alerts. How should the engineer refine this rule to eliminate these false positives while preserving detection of malicious activity?

A. Modify the XQL to include a check for the 'digital_signature' of the process performing the write, ensuring it's not signed by Microsoft or the organization's trusted vendors, specifically for update/patch processes.
B. Remove the rule, as critical system file modification is too noisy to reliably detect with indicator rules.
C. Change the 'file_path' to only look for executable files with a .exe' extension, ignoring DLLs.
D. Add 'and not (process_name in ('msiexec.exe', 'wusa.exe') and parent_process_name = ' Trustedlnstaller.exe')' to the XQL query.
E. Filter by and exclude 'SYSTEM' user, as legitimate updates often run as SYSTEM.

Answer: A

Explanation:
Option C is the most effective and robust solution for handling legitimate updates. Digital Signatures: Legitimate patching and antivirus updates are almost always performed by digitally signed executables from trusted vendors (like Microsoft for OS updates, or a reputable AV vendor). By filtering based on the absence of a valid, trusted digital signature, you can effectively distinguish legitimate updates from malicious attempts to modify system files. This is a high-fidelity filter. Option A is a surrender. Option B is a partial solution, as patchers and installers can use various processes and parent processes, and 'Trustedlnstaller.exe' might not always be the direct parent, also it's often more reliable to use signatures. Option D would eliminate many legitimate updates, as SYSTEM often performs these, and also miss malicious activity by SYSTEM. Option E would completely miss malicious modifications to critical DLLS, which is a common technique.

NEW QUESTION # 358
A Security Orchestration, Automation, and Response (SOAR) playbook in XSOAR (now part of Cortex XSOAR) is failing consistently at a specific task. The playbook attempts to fetch threat intelligence data from a custom API endpoint, process it, and then update a security incident in XSIAM. The error message in the XSOAR logs is 'Error: Failed to parse API response. Expected JSON, received HTML.' Which of the following debugging strategies would be most effective in quickly identifying the root cause?

A. Review the custom API server's access logs to check if the request from XSOAR reached it and what response it sent.
B. Check the XSIAM incident for any partial updates or error messages related to the playbook's execution.
C. Utilize the XSOAR 'Debugger' feature to step through the playbook execution, specifically inspecting the output of the API call task for the exact raw response received.
D. Temporarily add a 'print' or command immediately after the API call in the playbook to output the raw response body, then re-run the playbook.
E. Inspect the XSOAR integration's configuration for the custom API endpoint to ensure the 'Content-Type' header is set to 'application/json'

Answer: C,D

Explanation:
The error message 'Expected JSON, received HTML' strongly suggests the API call itself is returning an unexpected format. While checking the 'Content-Type' (A) and server logs (C) are valid debugging steps, the most effective and immediate way to see what was actually received by XSOAR is to inspect the raw response within the playbook's execution context. The XSOAR Debugger (B) allows for interactive inspection of task outputs, and adding a 'print' or 'log' command (D) achieves a similar goal by outputting the raw data. Both B and D directly address the core issue of understanding the malformed response. Option E is less direct for identifying the root cause of the API parsing error.

NEW QUESTION # 359
Consider the following Python snippet intended to programmatically configure a custom XSIAM data source for a novel log format that arrives via HTTPS POST. The goal is to define specific extraction rules for 'event id' and 'username' from a JSON payload. Which of the following XSIAM API calls or programmatic steps is missing or incorrectly represented to achieve this specific data source configuration, assuming proper authentication has been established?

A. The authentication method (x-api-key) is deprecated for XSIAM Data Ingestion API; it requires OAuth 2.0 or service account keys.
B.
C.
D.
E. The provided snippet lacks the necessary XSIAM 'Data Mapper' configuration, which is a separate, Ul-driven process and cannot be entirely automated via API for complex JSON parsing.

Answer: D

Explanation:
Option B correctly identifies the crucial missing element: the 'parser' object within the data source configuration. For custom data sources where you need to define how fields are extracted from a raw payload (especially JSON), XSIAM's API requires a 'parser' definition. This 'parser' typically includes the 'type' of parser (e.g., 'json', 'regex') and the 'mapping' or 'rules' to extract specific fields. The initial snippet's 'fields' array at the top level is for defining expected fields, not extraction rules . Option A correctly points out a common API endpoint naming convention but the primary issue is the payload structure. Option C has incorrect 'type' and mapping syntax. Option D is incorrect; while a UI mapper exists, API-driven configuration for custom parsers is indeed possible. Option E is generally false; while OAuth and service accounts are common, API keys are still widely used for various XSIAM APIs depending on context and setup.

NEW QUESTION # 360
......

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