Free Practice Questions for Paloalto Networks XDR-Analyst Exam

To pivot within a row to Causality view and Timeline views for further investigation, you can use the Open Card and Open Timeline actions respectively. The Open Card action will open a new tab with the Causality view of the selected row, showing the causal chain of events that led to the alert. The Open Timeline action will open a new tab with the Timeline view of the selected row, showing the chronological sequence of events that occurred on the affected endpoint. These actions allow you to drill down into the details of each alert and understand the root cause and impact of the incident. References:

Cortex XDR User Guide, Chapter 9: Investigate Alerts, Section: Pivot to Causality View and Timeline View

PCDRA Study Guide, Section 3: Investigate and Respond to Alerts, Objective 3.1: Investigate alerts using the Causality view and Timeline view

A BIOC rule is a custom detection rule that uses the Cortex Query Language (XQL) to define the behavior or actions that indicate a potential threat. A BIOC rule can use the xdr_data and cloud_audit_log datasets and presets for these datasets. A BIOC rule can also use the filter stage, alter stage, and functions without any aggregations in the XQL query. The query must return a single field named action_process_image, which is the process image name of the suspicious process. The query must also include the event_type and event_sub_type fields in the filter stage to specify the type and sub-type of the event that triggers the rule.

Option B is the correct answer because it meets all the requirements for a valid BIOC rule query. It uses the xdr_data dataset, the filter stage, the event_type and event_sub_type fields, and the action_process_image_name field with a regular expression to match any process image name that ends with .pdf.exe or .docx.exe, which are common indicators of malicious files.

Option A is incorrect because it does not include the event_type field in the filter stage, which is mandatory for a BIOC rule query.

Option C is incorrect because it does not include the event_type and event_sub_type fields in the filter stage, and it uses the fields stage, which is not supported for a BIOC rule query. It also returns the action_process_image field instead of the action_process_image_name field, which is the expected output for a BIOC rule query.

Option D is incorrect because it uses the event_behavior field, which is not supported for a BIOC rule query. It also does not include the event_type field in the filter stage, and it uses the event_sub_type field incorrectly. The event_sub_type field should be equal to PROCESS_START, not true.

The correct statement regarding the Cortex XDR Analytics module is D, it interferes with the pattern as soon as it is observed on the endpoint. The Cortex XDR Analytics module is a feature of Cortex XDR that uses machine learning and behavioral analytics to detect and prevent network-based attacks on endpoints. The Cortex XDR Analytics module analyzes the network traffic and activity on the endpoint, and compares it with the attack patterns defined by Palo Alto Networks threat research team. The Cortex XDR Analytics module interferes with the attack pattern as soon as it is observed on the endpoint, by blocking the malicious network connection, process, or file. This way, the Cortex XDR Analytics module can stop the attack before it causes any damage or compromise.

The other statements are incorrect for the following reasons:

A is incorrect because the Cortex XDR Analytics module does interfere with the attack pattern on the endpoint, by blocking the malicious network connection, process, or file. The Cortex XDR Analytics module does not rely on the firewall or any other network device to stop the attack, but rather uses the Cortex XDR agent installed on the endpoint to perform the interference.

B is incorrect because the Cortex XDR Analytics module does not interfere with the attack pattern as soon as it is observed by the firewall. The Cortex XDR Analytics module does not depend on the firewall or any other network device to detect or prevent the attack, but rather uses the Cortex XDR agent installed on the endpoint to perform the analysis and interference. The firewall may not be able to observe or block the attack pattern if it is encrypted, obfuscated, or bypassed by the attacker.

C is incorrect because the Cortex XDR Analytics module does need to interfere with the attack pattern to prevent the attack. The Cortex XDR Analytics module does not only detect the attack pattern, but also prevents it from succeeding by blocking the malicious network connection, process, or file. The Cortex XDR Analytics module does not rely on any other response mechanism or human intervention to stop the attack, but rather uses the Cortex XDR agent installed on the endpoint to perform the interference.

 A successful exploit is a piece of software or code that takes advantage of a vulnerability and executes malicious actions on the target system. A vulnerability is a weakness or flaw in a software or hardware component that can be exploited by an attacker. A successful exploit is one that achieves its intended goal, such as gaining unauthorized access, executing arbitrary code, escalating privileges, or compromising data.

In the given options, only B is an example of a successful exploit, because it involves a user executing code that exploits a vulnerability on a local service, such as a web server, a database, or a network protocol. This could allow the attacker to gain control over the service, access sensitive information, or perform other malicious actions.

Option A is not a successful exploit, because it involves connecting unknown media to an endpoint that copied malware due to Autorun. Autorun is a feature that automatically runs a program or script when a removable media, such as a USB drive, is inserted into a computer. This feature can be abused by malware authors to spread their malicious code, but it is not an exploit in itself. The malware still needs to exploit a vulnerability on the endpoint to execute its payload and cause damage.

Option C is not a successful exploit, because it involves identifying vulnerable services on a server. This is a step in the reconnaissance phase of an attack, where the attacker scans the target system for potential vulnerabilities that can be exploited. However, this does not mean that the attacker has successfully exploited any of the vulnerabilities, or that the vulnerabilities are even exploitable.

Option D is not a successful exploit, because it involves executing a process executable for well-known and signed software. This is a legitimate action that does not exploit any vulnerability or cause any harm. Well-known and signed software are programs that are widely used and trusted, and have a digital signature that verifies their authenticity and integrity. Executing such software does not pose a security risk, unless the software itself is malicious or compromised.

 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.

 When selecting multiple incidents at a time, the options that are available from the menu when a user right-clicks the incidents are: Assign incidents to an analyst in bulk and Change the status of multiple incidents. These options allow the user to perform bulk actions on the selected incidents, such as assigning them to a specific analyst or changing their status to open, in progress, resolved, or closed. These options can help the user to manage and prioritize the incidents more efficiently and effectively. To use these options, the user needs to select the incidents from the incident table, right-click on them, and choose the desired option from the menu. The user can also use keyboard shortcuts to perform these actions, such as Ctrl+A to select all incidents, Ctrl+Shift+A to assign incidents to an analyst, and Ctrl+Shift+S to change the status of incidents12

 The minimum Cortex XDR agent version required for Kubernetes Cluster is Cortex XDR 7.5. This version introduces the Cortex XDR agent for Kubernetes hosts, which provides protection and visibility for Linux hosts that run on Kubernetes clusters. The Cortex XDR agent for Kubernetes hosts supports the following features:

Anti-malware protection

Behavioral threat protection

Exploit protection

File integrity monitoring

Network security

Audit and remediation

Live terminal

To install the Cortex XDR agent for Kubernetes hosts, you need to deploy the Cortex XDR agent as a DaemonSet on your Kubernetes cluster. You also need to configure the agent settings profile and the agent installer in the Cortex XDR management console. References:

Cortex XDR Agent Release Notes: This document provides the release notes for Cortex XDR agent versions, including the new features, enhancements, and resolved issues.

Install the Cortex XDR Agent for Kubernetes Hosts: This document explains how to install and configure the Cortex XDR agent for Kubernetes hosts using the Cortex XDR management console and the Kubernetes command-line tool.

The Wildfire analysis file size limit for Windows PE files is 100MB. Windows PE files are executable files that run on the Windows operating system, such as .exe, .dll, .sys, or .scr files. Wildfire is a cloud-based service that analyzes files and URLs for malicious behavior and generates signatures and protections for them. Wildfire can analyze various file types, such as PE, APK, PDF, MS Office, and others, but each file type has a different file size limit. The file size limit determines the maximum size of the file that can be uploaded or forwarded to Wildfire for analysis. If the file size exceeds the limit, Wildfire will not analyze the file and will return an error message.

According to the Wildfire documentation1, the file size limit for Windows PE files is 100MB. This means that any PE file that is larger than 100MB will not be analyzed by Wildfire. However, the firewall can still apply other security features, such as antivirus, anti-spyware, vulnerability protection, and file blocking, to the PE file based on the security policy settings. The firewall can also perform local analysis on the PE file using the Cortex XDR agent, which uses machine learning models to assess the file and assign it a verdict2.

Cortex XDR allows you to create two types of exception profiles: agent exception profiles and global exception profiles. Agent exception profiles apply to specific endpoints that are assigned to the profile. Global exception profiles apply to all endpoints in your network. You can use exception profiles to configure different types of exceptions, such as process exceptions, support exceptions, behavioral threat protection rule exceptions, local analysis rules exceptions, advanced analysis exceptions, or digital signer exceptions. Exception profiles help you fine-tune the security policies for your endpoints and reduce false positives. References:

Exception Security Profiles

Create an Agent Exception Profile

Create a Global Exception Profile