Pass the Paloalto Networks Certified Cybersecurity Associate Practitioner Questions and answers with ExamsMirror

SIEM stands for security information and event management. It is a technology that collects, analyzes, and reports on security-related data from various sources within an organization’s network. The purpose of SIEM is to provide real-time monitoring and analysis of security events, such as user logins, file access, and changes to critical system files. SIEM helps security teams to detect and respond to potential threats, as well as to meet compliance requirements and improve their cybersecurity posture. References: What Is Security Information and Event Management (SIEM)? - Palo Alto Networks, What is a SIEM Solution? - Palo Alto Networks, Integrate IoT Security with SIEM - Palo Alto Networks

List three advantages of serverless computing over

CaaS: - Reduce costs - Increase agility - Reduce operational overhead

 Palo Alto Networks Cortex XDR is an extended detection and response platform that provides endpoint protection, threat detection, and incident response capabilities. When an endpoint is asked to run an executable, Cortex XDR does the following steps1:

First, it sends the executable to WildFire, a cloud-based malware analysis and prevention service, to determine if it is malicious or benign. WildFire uses static and dynamic analysis, machine learning, and threat intelligence to analyze the executable and provide a verdict in seconds2.

Next, it checks the execution policy, which is a set of rules that define what actions are allowed or blocked on the endpoint. The execution policy can be configured by the administrator to enforce granular control over the endpoint behavior3.

Then, it runs a static analysis, which is a technique that examines the executable without executing it. Static analysis can identify malicious indicators, such as file signatures, hashes, strings, and embedded resources4.

Finally, it runs a dynamic analysis, which is a technique that executes the executable in a sandboxed environment and monitors its behavior. Dynamic analysis can detect malicious activities, such as network connections, registry changes, file modifications, and process injections4.

Cortex XDR Endpoint Protection Overview

WildFire Overview

[Execution Policy]

[Static and Dynamic Analysis]

An evil twin is a type of Wi-Fi attack that involves setting up a fake malicious Wi-Fi hotspot with the same name as a legitimate network to trick users into connecting to it. The attacker can then intercept the user’s data, such as passwords, credit card numbers, or personal information. The victim initiates the connection by choosing the fake network from the list of available Wi-Fi networks, thinking it is the real one. The attacker can also use a deauthentication attack to disconnect the user from the legitimate network and force them to reconnect to the fake one. References:

Types of Wi-Fi Attacks You Need to Guard Your Business Against - TechGenix

Types of Wireless and Mobile Device Attacks - GeeksforGeeks

The 5 most dangerous Wi-Fi attacks, and how to fight them

What are Wi-Fi Attacks & How to Fight - Tech Resider

 A local area network (LAN) is a network that connects end-user devices such as personal computers, printers, scanners, and phones within a small geographic area, such as an office, school, or home. LANs allow users to share resources, such as files, applications, and internet access, among the connected devices. LANs typically use Ethernet or Wi-Fi as the communication medium and operate at high speeds with low error rates. LANs are usually owned and managed by a single person or organization. References: LANs, WANs, and Other Area Networks Explained, What is a LAN? Local Area Network, Types of area networks - LAN, MAN and WAN

Cortex XDR breaks the silos of traditional detection and response by natively integrating network, endpoint, and cloud data to stop sophisticated attacks

Determining system health using unaltered system data – Active monitoring collects real-time data to assess the current health and performance of systems.

Using probes to establish potential load issues – Active monitoring uses synthetic transactions or probes to simulate user interactions and identify performance or load-related issues before they affect users.

Layer 4 of the TCP/IP model is the transport layer, which is responsible for providing reliable and efficient data transmission between hosts. The transport layer can use different protocols, such as TCP or UDP, depending on the requirements of the application. The transport layer also performs functions such as segmentation, acknowledgement, flow control, and error recovery. 1

The transport layer of the TCP/IP model corresponds to three layers of the OSI model: the transport layer, the session layer, and the presentation layer. The session layer of the OSI model manages the establishment, maintenance, and termination of sessions between applications. The session layer also provides services such as synchronization, dialogue control, and security. The presentation layer of the OSI model handles the representation, encoding, and formatting of data for the application layer. The presentation layer also performs functions such as compression, encryption, and translation. 23

Knowledge-based systems and behavior-based systems are two types of artificial intelligence systems that can be used for security purposes. Knowledge-based systems use a predefined database of rules, facts, and patterns that distinguish “bad” or malicious activities from normal ones. They compare the incoming data with the stored knowledge and flag any anomalies or matches. Behavior-based systems, on the other hand, learn from the observed data and establish a baseline of normal behavior. They then monitor the data for any deviations or changes from the baseline and alert on any suspicious or abnormal activities. References:

•Types of Knowledge-Based Systems - Springer

•Difference between Knowledge-based IDS and behavior-based IDS

•Behaviour-based Knowledge Systems: An Epigenetic Path from Behaviour to …

Dynamic analysis is a method of malware analysis that executes the malware in a controlled environment and observes its behavior and effects. Dynamic analysis can reveal the malware’s network activity, file system changes, registry modifications, and other indicators of compromise. Dynamic analysis is performed by Palo Alto Networks WildFire, a cloud-based service that analyzes unknown files and links from various sources, such as email attachments, web downloads, and firewall traffic. WildFire uses a custom-built, evasion-resistant virtual environment to detonate the submissions and generate detailed reports and verdicts. WildFire can also share the threat intelligence with other Palo Alto Networks products and partners to prevent future attacks. References: WildFire Overview, WildFire Features, WildFire Dynamic Analysis