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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Alerting and Detection Processes | 23% | - Alert Sources and Types
|
| Topic 2: Incident Investigation and Response | - Incident Analysis
| |
| Topic 3: Threat Hunting and Querying | - XQL and Data Analysis
| |
| Topic 4: Reporting and Compliance | - Compliance
|
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NEW QUESTION # 26
Which statement is correct based on the report output below?
Answer: B
Explanation:
The report output shows the number of endpoints that have forensic inventory data collection enabled, which is a feature of Cortex XDR that allows the collection of detailed information about the endpoint's hardware, software, and network configuration. This feature helps analysts to investigate and respond to incidents more effectively by providing a comprehensive view of the endpoint's state and activity. Forensic inventory data collection can be enabled or disabled per policy in Cortex XDR. Reference:
Forensic Inventory Data Collection
Cortex XDR 3: Getting Started with Endpoint Protection
NEW QUESTION # 27
What is the purpose of the Unit 42 team?
Answer: A
Explanation:
Unit 42 is the threat intelligence and response team of Palo Alto Networks. The purpose of Unit 42 is to collect and analyze the most up-to-date threat intelligence and apply it to respond to cyberattacks. Unit 42 is composed of world-renowned threat researchers, incident responders and security consultants who help organizations proactively manage cyber risk. Unit 42 is responsible for threat research, malware analysis and threat hunting, among other activities12.
Let's briefly discuss the other options to provide a comprehensive explanation:
A . Unit 42 is not responsible for automation and orchestration of products. Automation and orchestration are capabilities that are provided by Palo Alto Networks products such as Cortex XSOAR, which is a security orchestration, automation and response platform that helps security teams automate tasks, coordinate actions and manage incidents3.
B . Unit 42 is not responsible for the configuration optimization of the Cortex XDR server. The Cortex XDR server is the cloud-based platform that provides detection and response capabilities across network, endpoint and cloud data sources. The configuration optimization of the Cortex XDR server is the responsibility of the Cortex XDR administrators, who can use the Cortex XDR app to manage the settings and policies of the Cortex XDR server4.
C . Unit 42 is not responsible for the rapid deployment of Cortex XDR agents. The Cortex XDR agents are the software components that are installed on endpoints to provide protection and visibility. The rapid deployment of Cortex XDR agents is the responsibility of the Cortex XDR administrators, who can use various methods such as group policy objects, scripts, or third-party tools to deploy the Cortex XDR agents to multiple endpoints5.
In conclusion, Unit 42 is the threat intelligence and response team of Palo Alto Networks that is responsible for threat research, malware analysis and threat hunting. By leveraging the expertise and insights of Unit 42, organizations can enhance their security posture and protect against the latest cyberthreats.
Reference:
About Unit 42: Our Mission and Team
Unit 42: Threat Intelligence & Response
Cortex XSOAR
Cortex XDR Pro Admin Guide: Manage Cortex XDR Settings and Policies
Cortex XDR Pro Admin Guide: Deploy Cortex XDR Agents
NEW QUESTION # 28
Which statement best describes how Behavioral Threat Protection (BTP) works?
Answer: D
Explanation:
The statement that best describes how Behavioral Threat Protection (BTP) works is D, BTP uses machine learning to recognize malicious activity even if it is not known. BTP is a feature of Cortex XDR that allows you to define custom rules to detect and block malicious behaviors on endpoints. BTP uses machine learning to profile behavior and detect anomalies indicative of attack. BTP can recognize malicious activity based on file attributes, registry keys, processes, network connections, and other criteria, even if the activity is not associated with any known malware or threat. BTP rules are updated through content updates and can be managed from the Cortex XDR console.
The other statements are incorrect for the following reasons:
A is incorrect because BTP does not inject into known vulnerable processes to detect malicious activity. BTP does not rely on process injection, which is a technique used by some malware to hide or execute code within another process. BTP monitors the behavior of all processes on the endpoint, regardless of their vulnerability status, and compares them with the BTP rules.
B is incorrect because BTP does not run on the Cortex XDR and distribute behavioral signatures to all agents. BTP runs on the Cortex XDR agent, which is installed on the endpoint, and analyzes the endpoint data locally. BTP does not use behavioral signatures, which are predefined patterns of malicious behavior, but rather uses machine learning to identify anomalies and deviations from normal behavior.
C is incorrect because BTP does not match EDR data with rules provided by Cortex XDR. BTP is part of the EDR (Endpoint Detection and Response) capabilities of Cortex XDR, and uses the EDR data collected by the Cortex XDR agent to perform behavioral analysis. BTP does not match the EDR data with rules provided by Cortex XDR, but rather applies the BTP rules defined by the Cortex XDR administrator or the Palo Alto Networks threat research team.
Reference:
Cortex XDR Agent Administrator Guide: Behavioral Threat Protection
Cortex XDR: Stop Breaches with AI-Powered Cybersecurity
NEW QUESTION # 29
Which engine, of the following, in Cortex XDR determines the most relevant artifacts in each alert and aggregates all alerts related to an event into an incident?
Answer: D
Explanation:
The engine that determines the most relevant artifacts in each alert and aggregates all alerts related to an event into an incident is the Causality Analysis Engine. The Causality Analysis Engine is one of the core components of Cortex XDR that performs advanced analytics on the data collected from various sources, such as endpoints, networks, and clouds. The Causality Analysis Engine uses machine learning and behavioral analysis to identify the root cause, the attack chain, and the impact of each alert. It also groups related alerts into incidents based on the temporal and logical relationships among the alerts. The Causality Analysis Engine helps to reduce the noise and complexity of alerts and incidents, and provides a clear and concise view of the attack story12.
Let's briefly discuss the other options to provide a comprehensive explanation:
A . Sensor Engine: This is not the correct answer. The Sensor Engine is not responsible for determining the most relevant artifacts in each alert and aggregating all alerts related to an event into an incident. The Sensor Engine is the component that runs on the Cortex XDR agents installed on the endpoints. The Sensor Engine collects and analyzes endpoint data, such as processes, files, registry keys, network connections, and user activities. The Sensor Engine also enforces the endpoint security policies and performs prevention and response actions3.
C . Log Stitching Engine: This is not the correct answer. The Log Stitching Engine is not responsible for determining the most relevant artifacts in each alert and aggregating all alerts related to an event into an incident. The Log Stitching Engine is the component that runs on the Cortex Data Lake, which is the cloud-based data storage and processing platform for Cortex XDR. The Log Stitching Engine normalizes and stitches together the data from different sources, such as firewalls, proxies, endpoints, and clouds. The Log Stitching Engine enables Cortex XDR to correlate and analyze data from multiple sources and provide a unified view of the network activity and threat landscape4.
D . Causality Chain Engine: This is not the correct answer. Causality Chain Engine is not a valid name for any of the Cortex XDR engines. There is no such engine in Cortex XDR that performs the function of determining the most relevant artifacts in each alert and aggregating all alerts related to an event into an incident.
In conclusion, the Causality Analysis Engine is the engine that determines the most relevant artifacts in each alert and aggregates all alerts related to an event into an incident. By using the Causality Analysis Engine, Cortex XDR can provide a comprehensive and accurate detection and response capability for security analysts.
Reference:
Cortex XDR Pro Admin Guide: Causality Analysis Engine
Cortex XDR Pro Admin Guide: View Incident Details
Cortex XDR Pro Admin Guide: Sensor Engine
Cortex XDR Pro Admin Guide: Log Stitching Engine
NEW QUESTION # 30
What is the outcome of creating and implementing an alert exclusion?
Answer: B
Explanation:
The outcome of creating and implementing an alert exclusion is that the Cortex XDR console will hide those alerts that match the exclusion criteria. An alert exclusion is a policy that allows you to filter out alerts that are not relevant, false positives, or low priority, and focus on the alerts that require your attention. When you create an alert exclusion, you can specify the criteria that define which alerts you want to exclude, such as alert name, severity, source, or endpoint. After you create an alert exclusion, Cortex XDR will hide any future alerts that match the criteria, and exclude them from incidents and search query results. However, the alert exclusion does not affect the behavior of the Cortex XDR agent or the security policy on the endpoint. The Cortex XDR agent will still create an alert for the event and apply the appropriate action, such as blocking or quarantining, according to the security policy. The alert exclusion only affects the visibility of the alert on the Cortex XDR console, not the actual protection of the endpoint. Therefore, the correct answer is B, the Cortex XDR console will hide those alerts12 Reference:
Alert Exclusions
Create an Alert Exclusion Policy
NEW QUESTION # 31
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