CCSM Advanced Threat Prevention Practice Question
A security analyst is investigating a series of alerts from the Anti-Bot blade. The logs show that an internal host is repeatedly connecting to a domain that resolves to multiple IP addresses, and the connections use HTTP with a User-Agent string that changes on each request. The analyst suspects a botnet using domain generation algorithm (DGA) and fast-flux techniques. Which Check Point feature would provide the most direct evidence to confirm this suspicion?
⚠ Common exam trap
The trap here is assuming that file-based analysis or user identity will reveal network-level botnet techniques; DGA and fast-flux are network behaviors best detected by Anti-Bot's DNS analysis.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Anti-Bot's DNS reputation and domain analysis, including DGA detection and fast-flux indicators.
Anti-Bot's DNS reputation and domain analysis capabilities are designed to detect DGA and fast-flux by examining domain names and their resolution behavior. This includes identifying domains that appear algorithmically generated and tracking IP address changes associated with a single domain. Such analysis provides direct evidence to confirm the analyst's suspicion.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Anti-Bot's DNS reputation and domain analysis, including DGA detection and fast-flux indicators.
Why this is correct
Anti-Bot includes DNS reputation and domain analysis that can identify DGA-generated domains and fast-flux networks by analyzing DNS query patterns, domain characteristics, and IP address changes. This provides direct evidence of the suspected techniques, such as algorithmically generated domain names and rapidly changing IPs.
- ✗
Threat Emulation reports showing the behavior of files downloaded from the domain.
Why it's wrong here
Threat Emulation analyzes files in a sandbox and can reveal malicious behavior, but it focuses on file execution rather than network patterns. While it might show that a downloaded file is malicious, it does not directly confirm DGA or fast-flux characteristics, which are network-level behaviors observed in DNS and connection patterns.
- ✗
Identity Awareness logs showing the user associated with the internal host.
Why it's wrong here
Identity Awareness maps IP addresses to users, which helps attribute activity to a person but does not analyze the nature of the network traffic. It would not reveal DGA or fast-flux techniques, as those are related to the botnet's communication patterns, not user identity.
- ✗
Threat Extraction logs showing the sanitization of files from the domain.
Why it's wrong here
Threat Extraction removes malicious content from files, but its logs focus on file sanitization actions, not on network indicators like DGA or fast-flux. It would not provide evidence about domain generation algorithms or rapidly changing IP addresses, as those are network-level phenomena.
Visual reference
About these practice questions
This CCSM question is part of Courseiva's 219-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Check Point exam blueprint
This CCSM practice question is part of Courseiva's free Check Point certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the CCSM exam.