CompTIA Updated SY0-701 Exam Questions and Answers by ciara

 An endpoint log is a file that contains information about the activities and events that occur on an end-user device, such as a laptop, desktop, tablet, or smartphone. Endpoint logs can provide valuable data for security analysts, such as the processes running on the device, the network connections established, the files accessed or modified, the user actions performed, and the applications installed or updated. Endpoint logs can also record the details of any executable files running on the device, such as the name, path, size, hash, signature, and permissions of the executable.

An application log is a file that contains information about the events that occur within a software application, such as errors, warnings, transactions, or performance metrics. Application logs can help developers and administrators troubleshoot issues, optimize performance, and monitor user behavior. However, application logs may not provide enough information about the executable files running on the device, especially if they are malicious or unknown.

An IPS/IDS log is a file that contains information about the network traffic that is monitored and analyzed by an intrusion prevention system (IPS) or an intrusion detection system (IDS). IPS/IDS logs can help security analysts identify and block potential attacks, such as exploit attempts, denial-of-service (DoS) attacks, or malicious scans. However, IPS/IDS logs may not provide enough information about the executable files running on the device, especially if they are encrypted, obfuscated, or use legitimate protocols.

A network log is a file that contains information about the network activity and communication that occurs between devices, such as IP addresses, ports, protocols, packets, or bytes. Network logs can help security analysts understand the network topology, traffic patterns, and bandwidth usage. However, network logs may not provide enough information about the executable files running on the device, especially if they are hidden, spoofed, or use proxy servers.

Therefore, the best log type to use as a data source for additional information about the executable running on the machine is the endpoint log, as it can provide the most relevant and detailed data about the executable file and its behavior.

References =  https://www.crowdstrike.com/cybersecurity-101/observability/application-log/

https://owasp.org/www-project-proactive-controls/v3/en/c9-security-logging

An unknown environment in penetration testing, also known as a black-box test, simulates an actual external attack where the tester has no prior knowledge of the system. This type of penetration test is designed to mimic real-world attack scenarios, where an attacker has little to no information about the target environment. The tester must rely on various reconnaissance and attack techniques to uncover vulnerabilities, much like a real-world attacker would. This approach helps organizations understand their security posture from an external perspective, providing insights into how their defenses would hold up against a true outsider threat.

References =

CompTIA Security+ SY0-701 Course Content: The course highlights the importance of understanding different penetration testing environments, including black-box testing, which aligns with the "unknown environment" in the provided answer.

CompTIA Security+ SY0-601 Study Guide: The guide details penetration testing methodologies, including black-box testing, which is crucial for simulating real external attacks​​​.

A qualitative risk analysis assigns descriptive ratings such as high, medium, or low to risks based on their likelihood and impact without numerical calculations.

Including MTTR/MTBF (A) and ALE/ARO (D) are quantitative methods using metrics. Risk registers (B) document risks but don’t specify analysis type.

Qualitative and quantitative risk methods are fundamental in SY0-701 risk management【6:Chapter 17†CompTIA Security+ Study Guide】.

Salting is the process of adding extra random data to a password or other data before applying a one-way data transformation algorithm, such as a hash function. Salting increases the complexity and randomness of the input data, making it harder for attackers to guess or crack the original data using precomputed tables or brute force methods. Salting also helps prevent identicalpasswords from producing identical hash values, which could reveal the passwords to attackers who have access to the hashed data. Salting is commonly used to protect passwords stored in databases or transmitted over networks. References =

Passwords technical overview

Encryption, hashing, salting – what’s the difference?

Salt (cryptography)