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Palo Alto Networks XDR Engineer Sample Questions (Q13-Q18):

NEW QUESTION # 13
A query is created that will run weekly via API. After it is tested and ready, it is reviewed in the Query Center. Which available column should be checked to determine how many compute units will be used when the query is run?

• A. Compute Unit Quota
• B. Simulated Compute Units
• C. Query Status
• D. Compute Unit Usage

Answer: D

Explanation:
In Cortex XDR, theQuery Centerallows administrators to manage and reviewXQL (XDR Query Language) queries, including those scheduled to run via API. Each query consumescompute units, a measure of the computational resources required to execute the query. To determine how many compute units a query will use, theCompute Unit Usagecolumn in the Query Center provides the actual or estimated resource consumption based on the query's execution history or configuration.
* Correct Answer Analysis (B):TheCompute Unit Usagecolumn in the Query Center displays the number of compute units consumed by a query when it runs. For a tested and ready query, this column provides the most accurate information on resource usage, helping administrators plan for API-based executions.
* Why not the other options?
* A. Query Status: The Query Status column indicates whether the query ran successfully, failed, or is pending, but it does not provide information on compute unit consumption.
* C. Simulated Compute Units: While some systems may offer simulated estimates, Cortex XDR' s Query Center does not have a "Simulated Compute Units" column. The actual usage is tracked in Compute Unit Usage.
* D. Compute Unit Quota: The Compute Unit Quota refers to the total available compute units for the tenant, not the specific usage of an individual query.
Exact Extract or Reference:
TheCortex XDR Documentation Portalexplains Query Center functionality: "The Compute Unit Usage column in the Query Center shows the compute units consumed by a query, enabling administrators to assess resource usage for scheduled or API-based queries" (paraphrased from the Query Center section). TheEDU-
262: Cortex XDR Investigation and Responsecourse covers query management, stating that "Compute Unit Usage provides details on the resources used by each query in the Query Center" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheetincludes "maintenance and troubleshooting" as a key exam topic, encompassing query resource management.
References:
Palo Alto Networks Cortex XDR Documentation Portal:https://docs-cortex.paloaltonetworks.com/ EDU-262: Cortex XDR Investigation and Response Course Objectives Palo Alto Networks Certified XDR Engineer Datasheet:https://www.paloaltonetworks.com/services/education
/certification#xdr-engineer

 

NEW QUESTION # 14
A new parsing rule is created, and during testing and verification, all the logs for which field data is to be parsed out are missing. All the other logs from this data source appear as expected. What may be the cause of this behavior?

• A. The Broker VM is offline
• B. The XDR Collector is dropping the logs
• C. The parsing rule corrupted the database
• D. The filter stage is dropping the logs

Answer: D

Explanation:
In Cortex XDR,parsing rulesare used to extract and normalize fields from raw log data during ingestion, ensuring that the data is structured for analysis and correlation. The parsing process includes stages such as filtering, parsing, and mapping. If logs for which field data is to be parsed out are missing, while other logs from the same data source are ingested as expected, the issue likely lies within the parsing rule itself, specifically in the filtering stage that determines which logs are processed.
* Correct Answer Analysis (C):The filter stage is dropping the logsis the most likely cause. Parsing rules often include afilter stagethat determines which logs are processed based on specific conditions (e.
g., log content, source, or type). If the filter stage of the new parsing rule is misconfigured (e.g., using an incorrect condition like log_type != expected_type or a regex that doesn't match the logs), it may drop the logs intended for parsing, causing them to be excluded from the ingestion pipeline. Since other logs from the same data source are ingested correctly, the issue is specific to the parsing rule's filter, not a broader ingestion problem.
* Why not the other options?
* A. The Broker VM is offline: If the Broker VM were offline, it would affect all log ingestion from the data source, not just the specific logs targeted by the parsing rule. The question states that other logs from the same data source are ingested as expected, so the Broker VM is likely operational.
* B. The parsing rule corrupted the database: Parsing rules operate on incoming logs during ingestion and do not directly interact with or corrupt the Cortex XDR database. This is an unlikely cause, and database corruption would likely cause broader issues, not just missing specific logs.
* D. The XDR Collector is dropping the logs: The XDR Collector forwards logs to Cortex XDR, and if it were dropping logs, it would likely affect all logs from the data source, not just those targeted by the parsing rule. Since other logs are ingested correctly, the issue is downstream in the parsing rule, not at the collector level.
Exact Extract or Reference:
TheCortex XDR Documentation Portalexplains parsing rule behavior: "The filter stage in a parsing rule determines which logs are processed; misconfigured filters can drop logs, causing them to be excluded from ingestion" (paraphrased from the Data Ingestion section). TheEDU-260: Cortex XDR Prevention and Deploymentcourse covers parsing rule troubleshooting, stating that "if specific logs are missing during parsing, check the filter stage for conditions that may be dropping the logs" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheetincludes "data ingestion and integration" as a key exam topic, encompassing parsing rule configuration and troubleshooting.
References:
Palo Alto Networks Cortex XDR Documentation Portal:https://docs-cortex.paloaltonetworks.com/ EDU-260: Cortex XDR Prevention and Deployment Course Objectives Palo Alto Networks Certified XDR Engineer Datasheet:https://www.paloaltonetworks.com/services/education
/certification#xdr-engineer

 

NEW QUESTION # 15
An engineer wants to automate the handling of alerts in Cortex XDR and defines several automation rules with different actions to be triggered based on specific alert conditions. Some alerts do not trigger the automation rules as expected. Which statement explains why the automation rules might not apply to certain alerts?

• A. They are executed in sequential order, so alerts may not trigger the correct actions if the rules are not configured properly
• B. They only apply to new alerts grouped into incidents by the system and only alerts that generateincidents trigger automation actions
• C. They can only be triggered by alerts with high severity; alerts with low or informational severity will not trigger the automation rules
• D. They can be applied to any alert, but they only work if the alert is manually grouped into an incident by the analyst

Answer: A

Explanation:
In Cortex XDR,automation rules(also known as response actions or playbooks) are used to automate alert handling based on specific conditions, such as alert type, severity, or source. These rules are executed in a defined order, and the first rule that matches an alert's conditions triggers its associated actions. If automation rules are not triggering as expected, the issue often lies in their configuration or execution order.
* Correct Answer Analysis (A):Automation rules areexecuted in sequential order, and each alert is evaluated against the rules in the order they are defined. If the rules are not configured properly (e.g., overly broad conditions in an earlier rule or incorrect prioritization), an alert may match an earlier rule and trigger its actions instead of the intended rule, or it may not match any rule due to misconfigured conditions. This explains why some alerts do not trigger the expected automation rules.
* Why not the other options?
* B. They only apply to new alerts grouped into incidents by the system and only alerts that generate incidents trigger automation actions: Automation rules can apply to both standalone alerts and those grouped into incidents. They are not limited to incident-related alerts.
* C. They can only be triggered by alerts with high severity; alerts with low or informational severity will not trigger the automation rules: Automation rules can be configured to trigger based on any severity level (high, medium, low, or informational), so this is not a restriction.
* D. They can be applied to any alert, but they only work if the alert is manually grouped into an incident by the analyst: Automation rules do not require manual incident grouping; they can apply to any alert based on defined conditions, regardless of incident status.
Exact Extract or Reference:
TheCortex XDR Documentation Portalexplains automation rules: "Automation rules are executed in sequential order, and the first rule matching an alert's conditions triggers its actions. Misconfigured rules or incorrect ordering can prevent expected actions from being applied" (paraphrased from the Automation Rules section). TheEDU-262: Cortex XDR Investigation and Responsecourse covers automation, stating that
"sequential execution of automation rules requires careful configuration to ensure the correct actions are triggered" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheet includes "playbook creation and automation" as a key exam topic, encompassing automation rule configuration.
References:
Palo Alto Networks Cortex XDR Documentation Portal:https://docs-cortex.paloaltonetworks.com/ EDU-262: Cortex XDR Investigation and Response Course Objectives Palo Alto Networks Certified XDR Engineer Datasheet:https://www.paloaltonetworks.com/services/education
/certification#xdr-engineer

 

NEW QUESTION # 16
A multinational company with over 300,000 employees has recently deployed Cortex XDR in North America.
The solution includes the Identity Threat Detection and Response (ITDR) add-on, and the Cortex team has onboarded the Cloud Identity Engine to the North American tenant. After waiting the required soak period and deploying enough agents to receive Identity and threat analytics detections, the team does not see user, group, or computer details for individuals from the European offices. What may be the reason for the issue?

• A. The Cloud Identity Engine plug-in has not been installed and configured
• B. The Cloud Identity Engine needs to be activated in all global regions
• C. The ITDR add-on is not compatible with the Cloud Identity Engine
• D. The XDR tenant is not in the same region as the Cloud Identity Engine

Answer: D

Explanation:
TheIdentity Threat Detection and Response (ITDR)add-on in Cortex XDR enhances identity-based threat detection by integrating with theCloud Identity Engine, which synchronizes user,group, and computer details from identity providers (e.g., Active Directory, Okta). For the Cloud Identity Engine to provide comprehensive identity data across regions, it must be properly configured and aligned with the Cortex XDR tenant's region.
* Correct Answer Analysis (A):The issue is likely thatthe XDR tenant is not in the same region as the Cloud Identity Engine. Cortex XDR tenants are region-specific (e.g., North America, Europe), and the Cloud Identity Engine must be configured to synchronize data with the tenant in the same region. If the North American tenant is used but the European offices' identity data is managed by a Cloud Identity Engine in a different region (e.g., Europe), the tenant may not receive user, group, or computer details for European users, causing the observed issue.
* Why not the other options?
* B. The Cloud Identity Engine plug-in has not been installed and configured: The question states that the Cloud Identity Engine has been onboarded, implying it is installed and configured.
The issue is specific to European office data, not a complete lack of integration.
* C. The Cloud Identity Engine needs to be activated in all global regions: The Cloud Identity Engine does not need to be activated in all regions. It needs to be configured to synchronize with the tenant in the correct region, and regional misalignment is the more likely issue.
* D. The ITDR add-on is not compatible with the Cloud Identity Engine: The ITDR add-on is designed to work with the Cloud Identity Engine, so compatibility is not the issue.
Exact Extract or Reference:
TheCortex XDR Documentation Portalexplains Cloud Identity Engine integration: "The Cloud Identity Engine must be configured in the same region as the Cortex XDR tenant to ensure proper synchronization of user, group, and computer details" (paraphrased from the Cloud Identity Engine section). TheEDU-260:
Cortex XDR Prevention and Deploymentcourse covers ITDR and identity integration, stating that "regional alignment between the tenant and Cloud Identity Engine is critical for accurate identity data" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheetincludes "data ingestion and integration" as a key exam topic, encompassing Cloud Identity Engine configuration.
References:
Palo Alto Networks Cortex XDR Documentation Portal:https://docs-cortex.paloaltonetworks.com/ EDU-260: Cortex XDR Prevention and Deployment Course Objectives Palo Alto Networks Certified XDR Engineer Datasheet:https://www.paloaltonetworks.com/services/education
/certification#xdr-engineer

 

NEW QUESTION # 17
Which statement describes the functionality of fixed filters and dashboard drilldowns in enhancing a dashboard's interactivity and data insights?

• A. Fixed filters limit the data visible in widgets, while dashboard drilldowns allow users to download data from the dashboard in various formats
• B. Fixed filters allow users to adjust the layout, while dashboard drilldowns provide links to external reports and/or dashboards
• C. Fixed filters let users select predefined or dynamic values to adjust the scope, while dashboard drilldowns provide interactive insights or trigger contextual changes, like linking to XQL searches
• D. Fixed filters allow users to select predefined data values, while dashboard drilldowns enable users to alter the scope of the data displayed by selecting filter values from the dashboard header

Answer: C

Explanation:
In Cortex XDR,fixed filtersanddashboard drilldownsare key features that enhance the interactivity and usability of dashboards. Fixed filters allow users to refine the data displayed in dashboard widgets by selecting predefined or dynamic values (e.g., time ranges, severities, or alertsources), adjusting the scope of the data presented. Dashboard drilldowns, on the other hand, enable users to interact with widget elements (e.
g., clicking on a chart bar) to gain deeper insights, such as navigating to detailed views, other dashboards, or executingXQL (XDR Query Language)searches for granular data analysis.
* Correct Answer Analysis (C):The statement in option C accurately describes the functionality:Fixed filters let users select predefined or dynamic values to adjust the scope, ensuring users can focus on specific subsets of data (e.g., alerts from a particular source).Dashboard drilldowns provide interactive insights or trigger contextual changes, like linking to XQL searches, allowing users to explore related data or perform detailed investigations directly from the dashboard.
* Why not the other options?
* A. Fixed filters allow users to select predefined data values, while dashboard drilldowns enable users to alter the scope of the data displayed by selecting filter values from the dashboard header: This is incorrect because drilldowns do not alter the scope via dashboard header filters; they provide navigational or query-based insights (e.g., linking to XQL searches).
Additionally, fixed filters support both predefined and dynamic values, not just predefined ones.
* B. Fixed filters limit the data visible in widgets, while dashboard drilldowns allow users to download data from the dashboard in various formats: While fixed filters limit data in widgets, drilldowns do not primarily facilitate data downloads. Downloads are handled via export functions, not drilldowns.
* D. Fixed filters allow users to adjust the layout, while dashboard drilldowns provide links to external reports and/or dashboards: Fixed filters do not adjust the dashboard layout; they filter data. Drilldowns can link to other dashboards but not typically to external reports, and their primary role is interactive data exploration, not just linking.
Exact Extract or Reference:
TheCortex XDR Documentation Portaldescribes dashboard features: "Fixed filters allow users to select predefined or dynamic values to adjust the scope of data in widgets. Drilldowns enable interactive exploration by linking to XQL searches or other dashboards for contextual insights" (paraphrased from the Dashboards and Widgets section). TheEDU-262: Cortex XDR Investigation and Responsecourse covers dashboard configuration, stating that "fixed filters refine data scope, and drilldowns provide interactive links to XQL queries or related dashboards" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheetincludes "dashboards and reporting" as a key exam topic, encompassing fixed filters and drilldowns.
References:
Palo Alto Networks Cortex XDR Documentation Portal:https://docs-cortex.paloaltonetworks.com/ EDU-262: Cortex XDR Investigation and Response Course Objectives Palo Alto Networks Certified XDR Engineer Datasheet:https://www.paloaltonetworks.com/services/education
/certification#xdr-engineer

 

NEW QUESTION # 18
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