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Palo Alto Networks Systems Engineer Professional - Cortex Questions and Answers

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Viewing questions 21-30 out of questions

Questions # 21:

A Cortex XSOAR customer wants to send a survey to users asking them to input their manager's email for a training use case so the manager can receive status reports on the employee's training. However, the customer is concerned users will provide incorrect information to avoid sending status updates to their manager.

How can Cortex XSOAR most efficiently sanitize user input prior to using the responses in the playbook?

Options:

Create a task that sends the survey responses to the analyst via email. If the responses are incorrect, the analyst fills out the correct response in the survey.

Create a manual task to ask the analyst to validate the survey response in the platform.

Create a sub-playbook and import a list of manager emails into XSOAR. Use a conditional task comparison to check if the response matches an email on the list. If no matches are found, loop the sub-playbook and send the survey back to the user until a match is found.

Create a conditional task comparison to check if the response contains a valid email address.

Answer

Explanation

[Reference: https://xsoar.pan.dev/docs/playbooks/playbooks-overview, , , ]

Questions # 22:

Which feature of Cortex XSIAM helps analyst reduce the noise and false positives that often plague traditional SIEM systems?

Options:

Alert range indicators

Al-generated correlation rules

Automatic incident scoring

Dynamic alarm fields

Answer

Explanation

The feature in Cortex XSIAM that helps analysts reduce the noise and false positives typically seen in traditional SIEM systems is AI-generated correlation rules. These rules use machine learning to automatically identify meaningful patterns and reduce irrelevant alerts, helping analysts focus on the most critical incidents.

Questions # 23:

What are two capabilities of a War Room? (Choose two.)

Options:

create widgets for an investigation

create playbooks for orchestration

act as an audit trail for an investigation

run ad-hoc automation commands

Answer

C, D

Explanation

[Reference: https://www.paloaltonetworks.com/cortex/cortex-xsoar, , , ]

Questions # 24:

An existing Palo Alto Networks SASE customer expresses that their security operations practice is having difficulty using the SASE data to help detect threats in their environment. They understand that parts of the Cortex portfolio could potentially help them and have reached out for guidance on moving forward.

Which two Cortex products are good recommendation for this customer? (Choose two.)

Options:

Cortex XSOAR

Cortex XDR

Cortex

Cortex XSIAM

Answer

A, B

Explanation

Cortex XSOAR provides automation and orchestration capabilities to help streamline security operations and enhance threat detection by integrating with existing security tools and automating responses.

Cortex XDR offers advanced detection and response across endpoints, networks, and cloud, helping to correlate security data, detect threats, and respond effectively, especially when dealing with diverse security data sources.

Questions # 25:

A customer has purchased Cortex XDR and requires phone support for the product.

Which Palo Alto Networks offering would fulfill this need?

Options:

Platinum Success

Premium Success

Diamond Success

Standard Success

Answer

Explanation

Premium Success is the offering from Palo Alto Networks that provides phone support for customers who have purchased Cortex XDR. This service includes access to technical support for critical issues and offers enhanced services to ensure smooth product usage and problem resolution.

Questions # 26:

Which statement applies to the malware protection flow in Cortex XDR Prevent?

Options:

Local static analysis happens before a WildFire verdict check.

In the final step, the block list is verified.

A trusted signed file is exempt from local static analysis.

Hash comparisons come after local static analysis.

Answer

Explanation

[erence: https://www.paloaltonetworks.com/resources/whitepapers/cortex-xdr-endpoint-protection-overview, , ]

Questions # 27:

How can the required log ingestion license be determined when sizing a Cortex XSIAM deployment?

Options:

Use the Cortex Data Lake Calculator to estimate the volume of third-party logs.

Count the number of correlation sources and multiply by desired retention days.

Ask the customer for average log ingestion estimates from their existing SIEM.

Ask the customer to provide average daily alert volume.

Answer

Questions # 28:

What is the requirement for enablement of endpoint and network analytics in Cortex XDR?

Options:

Cloud Identity Engine configured and enabled

Network Mapper applet on the Broker VM configured and enabled

Logs from at least 30 endpoints over a minimum of two weeks

Windows DHCP logs ingested via a Cortex XDR collector

Answer

Questions # 29:

Which feature in Cortex XSIAM extends analytics detections to all mapped network and authentication data?

Options:

Threat feed integration

Automation daybooks

Parsing rules

Data models

Answer

Explanation

Data models in Cortex XSIAM extend analytics detections to all mapped network and authentication data. These models help structure and normalize data, enabling more effective and comprehensive analysis across various data sources, improving the detection and response capabilities within the platform.

Questions # 30:

Given the integration configuration and error in the screenshot what is the cause of the problem?

Question # 30