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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Detection and Reporting | 22% | - Correlation rules creation - Custom dashboards and reporting templates - Exceptions and exclusions setup - IOC and BIOC configuration |
| Topic 2: Planning and Installation | 14% | - User roles, permissions and access control configuration - Deployment process, objectives and required resources - Data retention and compute unit considerations - Cortex XDR components: Agent, Broker VM, Collector, Cloud Identity Engine |
| Topic 3: Cortex XDR Agent Configuration | 22% | - Endpoint groups management - Endpoint extension profiles and policies configuration - Endpoint prevention profiles and policies configuration |
| Topic 4: Maintenance and Troubleshooting | 20% | - Data ingestion and parsing troubleshooting - Software and content updates management - Component troubleshooting: agents, collectors, Broker VM |
| Topic 5: Ingestion and Automation | 22% | - Onboard data sources: NGFW, network, cloud, identity systems - Simple automation rules management - Broker VM applets and clusters configuration - Parsing rules for data normalization - XDR Collectors configuration |
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NEW QUESTION # 80
What will enable a custom prevention rule to block specific behavior?
Answer: A
Explanation:
A custom BIOC can be converted into a custom prevention rule and enforced through a Restrictions profile. This allows Cortex XDR to block endpoint behavior that matches the defined behavioral logic.
NEW QUESTION # 81
A correlation rule is created to detect potential insider threats by correlating user login events from one dataset with file access events from another dataset. The rule must retain all user login events, even if there are no matching file access events, to ensure no login activity is missed.
dataset = x
| join (dataset = y)
Which type of join is required to maintain all records from dataset x, even if there are no matching events from dataset y?
Answer: C
Explanation:
A left join keeps all records from the left dataset, even when there is no match in the right dataset, which matches the requirement to retain all user login events from dataset x.
In this case, an inner join would drop unmatched login events, while a right or outer join would preserve a different set of rows than requested.
NEW QUESTION # 82
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?
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 # 83
An XDR engineer is creating a correlation rule to monitor login activity on specific systems. When the activity is identified, an alert is created. The alerts are being generated properly but are missing the username when viewed. How can the username information be included in the alerts?
Answer: A
Explanation:
When you write a custom correlation rule in Cortex XDR/XSIAM using XQL, the query identifies the matching raw log data. However, simply having the username present in your XQL query results does not automatically mean Cortex knows how to display it in the normalized security alert fields.
During the creation or editing of a correlation rule, there is a dedicated step called Alert Fields Mapping. This section allows you to explicitly map the specific variables or columns generated by your XQL query to standard Cortex XDR alert schema fields (such as actor_user_name, target_user_name, or host_name). If you skip this step, the alert will fire, but critical context like the username will remain blank or unpopulated in the Incident/Alert management console view.
NEW QUESTION # 84
When using Kerberos as the authentication method for Pathfinder, which two settings must be validated on the DNS server? (Choose two.)
Answer: A,B
Explanation:
When configuring Pathfinder (the component used by Cortex XDR/XSIAM to perform host insights and remote analysis on unmanaged or target network endpoints) to use Kerberos for authentication, it relies heavily on proper Active Directory and DNS environmental health.
Kerberos authentication inherently requires mutual authentication and relies on strict name-to-IP and IP-to-name resolution. When Pathfinder attempts to authenticate to an endpoint using Kerberos, it uses the target's IP address to look up its host identity. Therefore, a fully functional Reverse DNS zone containing accurate, up-to-date Reverse DNS records (PTR records) must be validated on the DNS server. If the pointer (PTR) record is missing, incorrect, or doesn't match the forward lookup (A record), Kerberos ticket validation will fail, and authentication will fallback or error out.
NEW QUESTION # 85
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