Actual XDR-Engineer Test Pdf - XDR-Engineer Lead2pass
Actual XDR-Engineer Test Pdf - XDR-Engineer Lead2pass
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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 Usage
- B. Query Status
- C. Compute Unit Quota
- D. Simulated Compute Units
Answer: A
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
What are two possible actions that can be triggered by a dashboard drilldown? (Choose two.)
- A. Send alerts to console users
- B. Initiate automated response actions
- C. Link to an XQL query
- D. Navigate to a different dashboard
Answer: C,D
Explanation:
In Cortex XDR,dashboard drilldownsallow users to interact with widgets (e.g., charts or tables) by clicking on elements to access additional details or perform actions. Drilldowns enhance the investigative capabilities of dashboards by linking to related data or views.
* Correct Answer Analysis (A, C):
* A. Navigate to a different dashboard: A drilldown can be configured to navigate to another dashboard, providing a more detailed view or related metrics. For example, clicking on an alert count in a widget might open a dashboard focused on alert details.
* C. Link to an XQL query: Drilldowns often link to anXQL querythat filters data based on the clicked element (e.g., an alert name or source). This allows users to view raw events or detailed records in the Query Builder or Investigation view.
* Why not the other options?
* B. Initiate automated response actions: Drilldowns are primarily for navigation and data exploration, not for triggering automated response actions. Response actions (e.g., isolating an endpoint) are typically initiated from the Incident or Alert views, not dashboards.
* D. Send alerts to console users: Drilldowns do not send alerts to users. Alerts are generated by correlation rules or BIOCs, and dashboards are used for visualization, not alert distribution.
Exact Extract or Reference:
TheCortex XDR Documentation Portaldescribes drilldown functionality: "Dashboard drilldowns can navigate to another dashboard or link to an XQL query to display detailed data based on the selected widget element" (paraphrased from the Dashboards and Widgets section). TheEDU-262: Cortex XDR Investigation and Responsecourse covers dashboards, stating that "drilldowns enable navigation to other dashboards or XQL queries for deeper analysis" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheetincludes "dashboards and reporting" as a key exam topic, encompassing drilldown 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 # 15
Which method will drop undesired logs and reduce the amount of data being ingested?
- A. [INGEST:vendor="vendor", product="product", target_dataset="vendor_product_raw",no_hit=drop] * filter _raw_log not contains "undesired logs";
- B. [COLLECT:vendor="vendor", product="product", target_dataset="", no_hit=drop] * drop _raw_log contains "undesired logs";
- C. [COLLECT:vendor="vendor", product="product", target_brokers="", no_hit=drop] * drop _raw_log contains "undesired logs";
- D. [INGEST:vendor="vendor", product="product", target_brokers="vendor_product_raw", no_hit=keep] * filter _raw_log not contains "undesired logs";
Answer: B
Explanation:
In Cortex XDR, managing data ingestion involves defining rules to collect, filter, or drop logs to optimize storage and processing. The goal is todrop undesired logsto reduce the amount of data ingested. The syntax used in the options appears to be a combination of ingestion rule metadata (e.g., [COLLECT] or [INGEST]) and filtering logic, likely written in a simplified query language for log processing. Thedropaction explicitly discards logs matching a condition, whilefilterwithnot containscan achieve similar results by keeping only logs that do not match the condition.
* Correct Answer Analysis (C):The method in option C,[COLLECT:vendor="vendor", product=" product", target_dataset="", no_hit=drop] * drop _raw_log contains "undesired logs";, explicitly dropslogs where the raw log content contains "undesired logs". The [COLLECT] directive defines the log collection scope (vendor, product, and dataset), and the no_hit=drop parameter indicates that unmatched logs are dropped. The drop _raw_log contains "undesired logs" statement ensures that logs matching the "undesired logs" pattern are discarded, effectively reducing the amount of data ingested.
* Why not the other options?
* A. [COLLECT:vendor="vendor", product="product", target_brokers="", no_hit=drop] * drop _raw_log contains "undesired logs";: This is similar to option C but uses target_brokers="", which is typically used for Broker VM configurations rather than direct dataset ingestion. While it could work, option C is more straightforward with target_dataset="".
* B. [INGEST:vendor="vendor", product="product", target_dataset="
vendor_product_raw", no_hit=drop] * filter _raw_log not contains "undesired logs";: This method uses filter _raw_log not contains "undesired logs" to keep logs that do not match the condition, which indirectly drops undesired logs. However, the drop action in option C is more explicit and efficient for reducing ingestion.
* D. [INGEST:vendor="vendor", product="product", target_brokers="
vendor_product_raw", no_hit=keep] * filter _raw_log not contains "undesired logs";: The no_hit=keep parameter means unmatched logs are kept, which does not align with the goal of reducing data. The filter statement reduces data, but no_hit=keep may counteract this by retaining unmatched logs, making this less effective than option C.
Exact Extract or Reference:
TheCortex XDR Documentation Portalexplains log ingestion rules: "To reduce data ingestion, use the drop action to discard logs matching specific patterns, such as _raw_log contains 'pattern'" (paraphrased from the Data Ingestion section). TheEDU-260: Cortex XDR Prevention and Deploymentcourse covers data ingestion optimization, stating that "dropping logs with specific content using drop _raw_log contains is an effective way to reduce ingested data volume" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheetincludes "data ingestion and integration" as a key exam topic, encompassing log filtering and dropping.
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 # 16
Log events from a previously deployed Windows XDR Collector agent are no longer being observed in the console after an OS upgrade. Which aspect of the log events is the probable cause of this behavior?
- A. They are less than 1MB
- B. They are in Winlogbeat format
- C. They are greater than 5MB
- D. They are in Filebeat format
Answer: C
NEW QUESTION # 17
What will enable a custom prevention rule to block specific behavior?
- A. A correlation rule added to a Malware profile
- B. A custom behavioral indicator of compromise (BIOC) added to a Restriction profile
- C. A correlation rule added to an Agent Blocking profile
- D. A custom behavioral indicator of compromise (BIOC) added to an Exploit profile
Answer: B
Explanation:
In Cortex XDR,custom prevention rulesare used to block specific behaviors or activities on endpoints by leveragingBehavioral Indicators of Compromise (BIOCs). BIOCs define patterns of behavior (e.g., specific process executions, file modifications, or network activities) that, when detected, can trigger preventive actions, such as blocking a process or isolating an endpoint. These BIOCs are typically associated with a Restriction profile, which enforces blocking actions for matched behaviors.
* Correct Answer Analysis (C):Acustom behavioral indicator of compromise (BIOC)added to a Restriction profileenables a custom prevention rule to block specific behavior. The BIOC defines the behavior to detect (e.g., a process accessing a sensitive file), and the Restriction profile specifies the preventive action (e.g., block the process). This configuration ensures that the identified behavior is blocked on endpoints where the profile is applied.
* Why not the other options?
* A. A correlation rule added to an Agent Blocking profile: Correlation rules are used to generate alerts by correlating events across datasets, not to block behaviors directly. There is no
"Agent Blocking profile" in Cortex XDR; this is a misnomer.
* B. A custom behavioral indicator of compromise (BIOC) added to an Exploit profile:
Exploit profiles are used to detect and prevent exploit-based attacks (e.g., memory corruption), not general behavioral patterns defined by BIOCs. BIOCs are associated with Restriction profiles for blocking behaviors.
* D. A correlation rule added to a Malware profile: Correlation rules do not directly block behaviors; they generate alerts. Malware profiles focus on file-based threats (e.g., executables analyzed by WildFire), not behavioral blocking via BIOCs.
Exact Extract or Reference:
TheCortex XDR Documentation Portalexplains BIOC and Restriction profiles: "Custom BIOCs can be added to Restriction profiles to block specific behaviors on endpoints, enabling tailored prevention rules" (paraphrased from the BIOC and Restriction Profile sections). TheEDU-260: Cortex XDR Prevention and Deploymentcourse covers prevention rules, stating that "BIOCs in Restriction profiles enable blocking of specific endpoint behaviors" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheetincludes "detection engineering" as a key exam topic, encompassing BIOC and prevention rule 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 # 18
......
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