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Palo Alto Networks XSIAM Engineer Sample Questions:

1. You are developing a custom XSOAR playbook that ingests security alerts from a cloud platform (e.g., AWS Security Hub). The cloud platform's API returns alert data in a highly nested JSON structure. Your playbook needs to extract specific values like 'ResourceType*, 'Accountld' , and *Region' from varying depths within this JSON structure. You're facing challenges due to inconsistent nesting for different alert types. Which XSOAR feature is best suited for robust and flexible extraction, and how would you debug its application?

A) Write a Python script that iterates through the JSON structure using recursive functions or a path-finding algorithm to locate the desired keys, and debug by printing the current path and value during recursion.
B) Employ the ' jq' transform using the 'setContext' command with complex 'jq' expressions to flatten or extract specific fields, and debug by testing 'jq' expressions iteratively in an online 'jq' playground or directly in the XSOAR CLI with small samples.
C) Leverage the 'Data Mapper feature within XSOAR to visually map the incoming JSON structure to the incident fields, debugging by inspecting the mapping preview and the resulting incident data.
D) Use and dot notation for direct access to known paths, debugging by logging the intermediate context values.
E) Utilize the 'Extract Indicators' automation, configuring it with precise regular expressions to pull out the required data from the raw alert JSON, and debug by reviewing the extracted indicators in the incident details.

2. As a XSIAM engineer, you are tasked with creating a 'Threat Landscape Overview' dashboard that combines insights from incident data, alert data, and external threat intelligence feeds (ingested via custom integrations). The dashboard needs to display: 1) Top 5 MITRE ATT&CK techniques observed, 2) Geolocation of external threat actors, and 3) Correlation of high-severity alerts with specific campaigns. Which of the following XSIAM dashboard features are crucial for achieving this comprehensive view?

A) Exporting all data to an external BI tool for visualization due to XSIAM's limited cross-data source visualization.
B) Relying solely on pre-defined security posture reports, as custom dashboards are too complex for this level of correlation.
C) Using 'Markdown' widgets exclusively for text-based summaries, ignoring visual data representation.
D) 'Map' widgets for geolocation, 'Table' widgets for MITRE ATT&CK, and 'Correlation' widgets for campaigns. Custom XQL queries with union and join operations across different datasets.
E) Only 'Alerts' and 'Incidents' widgets, as custom integrations are not directly visualizable.

3. An XSIAM marketplace content pack for 'Endpoint Forensics' includes a script named collect _ process_memory. py. This script is intended to execute a command on an endpoint via an EDR integration and retrieve the process memory dump. During a recent incident, the script failed with a 'Permission Denied' error. Upon investigation, you find the script attempts to write to a directory not typically accessible by the EDR agent's user context. What is the most appropriate action to resolve this and ensure future reliability of the content pack without modifying the core script itself?

A) Disable the collect_proces s_memory.py script and manually collect memory dumps during incidents.
B) Identify if the script has configurable parameters for the output directory. If so, modify the playbook task that calls the script to pass an accessible output path. If not, consider creating a wrapper script.
C) Modify the script to use a different, accessible directory. This requires editing the content pack's source.
D) Adjust the permissions of the target directory on the endpoint to grant write access to the EDR agent's user. This is an endpoint-level configuration.
E) Update the EDR integration instance configuration in XSIAM to use a different set of credentials that have broader write permissions on the endpoints.

4. An XSIAM engineer is reviewing an agent installation script for Linux. The script uses an installation token and attempts to assign the agent to a group. The script fails consistently with an 'Authentication Failed' or 'Invalid Token' error, even though the token was copied directly from the XSIAM console. Upon investigation, it's found that the console URL for generating the token includes a region-specific endpoint, but the script uses a generic cloud URL. Which of the following is the most likely cause of the failure, and what should be the immediate corrective action?

A) The installation token has expired. Regenerate a new token from the XSIAM console and re-run the script.
B) The agent group 'Production_Linux' does not exist in the XSIAM console. Create the group and re-run the script.
C) The Linux server's time is out of sync with the XSIAM cloud, causing SSL certificate validation failures. Synchronize the server's NTP.
D) There is a network firewall blocking outbound TCP port 443 to the XSIAM cloud. Open the firewall for the generic cloud URL.
E) The agent is attempting to connect to the wrong XSIAM cloud region/instance. The installation command must explicitly include the correct FQDN for the XSIAM cloud instance, which is tied to the tenant's region.

5. An XSIAM engineer is performing content optimization on indicator rules. They notice that a rule designed to detect 'suspicious process injections' is generating an alarmingly high number of alerts, primarily from legitimate debugging tools and application updates. The current rule uses a broad XQL query:

To reduce false positives without compromising the detection of malicious injections, which of the following modifications or considerations would be most effective? (Select all that apply)

A) Adjust the rule's 'time window' for correlation to a shorter duration, assuming malicious injections are instantaneous.
B) Create a pre-filtering rule with higher precedence to explicitly suppress alerts for processes with valid digital signatures and known clean hashes.
C) Refine the XQL query to include additional conditions such as 'target_process_integrity_level = 'System" or 'injection_type = 'remote" if the data is available, as these are often indicators of malicious activity.
D) Add a filter for to exclude injections originating from known legitimate processes like Visual Studio or trusted update services.
E) Implement a 'risk_score' threshold for the rule, only generating alerts if the aggregated risk score of the host or user exceeds a certain value.

Solutions: