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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Alerting and Detection Processes | 23% | - Alert Prioritization
|
| Topic 2: Incident Investigation and Response | - Response Actions
| |
| Topic 3: Reporting and Compliance | - Compliance
| |
| Topic 4: Threat Hunting and Querying | - XQL and Data Analysis
|
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NEW QUESTION # 32
Which statement is true based on the following Agent Auto Upgrade widget?
Answer: D
Explanation:
The Agent Auto Upgrade widget shows the status of the agent auto upgrade feature on the endpoints. The widget displays the number of agents that are up to date, in progress, pending, failed, and not configured. In this case, the widget shows that there are 450 agents that are up to date, 78 in progress, 15 pending, 18 failed, and 128 not configured. This means that the agent auto upgrade feature was enabled but not on all endpoints. Reference:
Cortex XDR Agent Auto Upgrade
PCDRA Study Guide
NEW QUESTION # 33
Where would you go to add an exception to exclude a specific file hash from examination by the Malware profile for a Windows endpoint?
Answer: A
Explanation:
To add an exception to exclude a specific file hash from examination by the Malware profile for a Windows endpoint, you need to use the Action Center in Cortex XDR. The Action Center allows you to create and manage actions that apply to endpoints, such as adding files or processes to the allow list or block list, isolating or unisolating endpoints, or initiating live terminal sessions. To add a file hash to the allow list, you need to choose Allow list, select new action, select add to allow list, add your hash to the list, and apply it. This will prevent the Malware profile from scanning or blocking the file on the endpoints that match the scope of the action. Reference: Cortex XDR 3: Responding to Attacks1, Action Center2
NEW QUESTION # 34
Which of the following protection modules is checked first in the Cortex XDR Windows agent malware protection flow?
Answer: B
Explanation:
The first protection module that is checked in the Cortex XDR Windows agent malware protection flow is the Hash Verdict Determination. This module compares the hash of the executable file that is about to run on the endpoint with a list of known malicious hashes stored in the Cortex XDR cloud. If the hash matches a malicious hash, the agent blocks the execution and generates an alert. If the hash does not match a malicious hash, the agent proceeds to the next protection module, which is the Restriction Policy1.
The Hash Verdict Determination module is the first line of defense against malware, as it can quickly and efficiently prevent known threats from running on the endpoint. However, this module cannot protect against unknown or zero-day threats, which have no known hash signature. Therefore, the Cortex XDR agent relies on other protection modules, such as Behavioral Threat Protection, Child Process Protection, and Exploit Protection, to detect and block malicious behaviors and exploits that may occur during the execution of the file1.
Reference:
Palo Alto Networks Cortex XDR Documentation, File Analysis and Protection Flow
NEW QUESTION # 35
Cortex XDR is deployed in the enterprise and you notice a cobalt strike attack via an ongoing supply chain compromise was prevented on 1 server. What steps can you take to ensure the same protection is extended to all your servers?
Answer: A
Explanation:
The best step to ensure the same protection is extended to all your servers is to create indicators of compromise (IOCs) of the malicious files you have found to prevent their execution. IOCs are pieces of information that indicate a potential threat or compromise on an endpoint, such as file hashes, IP addresses, domain names, or registry keys. You can create IOCs in Cortex XDR to block or alert on any file or network activity that matches the IOCs. By creating IOCs of the malicious files involved in the cobalt strike attack, you can prevent them from running or spreading on any of your servers.
The other options are not the best steps for the following reasons:
A is not the best step because conducting a thorough Endpoint Malware scan may not detect or prevent the cobalt strike attack if the malicious files are obfuscated, encrypted, or hidden. Endpoint Malware scan is a feature of Cortex XDR that allows you to scan endpoints for known malware and quarantine any malicious files found. However, Endpoint Malware scan may not be effective against unknown or advanced threats that use evasion techniques to avoid detection.
B is not the best step because enabling DLL Protection on all servers may cause some false positives and disrupt legitimate applications. DLL Protection is a feature of Cortex XDR that allows you to block or alert on any DLL loading activity that matches certain criteria, such as unsigned DLLs, DLLs loaded from network locations, or DLLs loaded by specific processes. However, DLL Protection may also block or alert on benign DLL loading activity that is part of normal system or application operations, resulting in false positives and performance issues.
C is not the best step because enabling Behavioral Threat Protection (BTP) with cytool may not prevent the attack from spreading if the malicious files are already on the endpoints or if the attack uses other methods to evade detection. Behavioral Threat Protection is a feature of Cortex XDR that allows you to block or alert on any endpoint behavior that matches certain patterns, such as ransomware, credential theft, or lateral movement. Cytool is a command-line tool that allows you to configure and manage the Cortex XDR agent on the endpoint. However, Behavioral Threat Protection may not prevent the attack from spreading if the malicious files are already on the endpoints or if the attack uses other methods to evade detection, such as encryption, obfuscation, or proxy servers.
Reference:
Create IOCs
Scan an Endpoint for Malware
DLL Protection
Behavioral Threat Protection
Cytool for Windows
NEW QUESTION # 36
Which statement best describes how Behavioral Threat Protection (BTP) works?
Answer: C
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 # 37
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