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CrowdStrike CCFH-202b Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Detection and Event Analysis20%- Timeline analysis
  • 1. Host timeline interpretation
    • 2. Process timeline and event flow
      - Detection investigation and pivoting
      • 1. Interpret detection logic and severity
        • 2. Navigate between detection and investigation tools
          Topic 2: Search and Query Language25%- CrowdStrike Query Language (CQL)
          • 1. Syntax and structure
            • 2. Filter, format, and export results
              • 3. Build and optimize queries
                - Event data and metadata
                • 1. Event types and data dictionary
                  • 2. Process relationships: Parent, Target, Context
                    Topic 3: Investigation Tools and Capabilities20%- Investigate module features
                    • 1. Network and registry activity review
                      • 2. File and process analysis
                        - Reports and reference materials
                        • 1. Hunt and visibility reports
                          • 2. Events Full Reference documentation
                            Topic 4: Threat Hunting Fundamentals15%- Cyber Kill Chain and MITRE ATT&CK Framework
                            • 1. Translate threat intelligence into hunting activities
                              • 2. Apply threat models and TTPs
                                - Hunting methodologies and approaches
                                • 1. Hypothesis generation and validation
                                  • 2. Stacking, searching, outlier analysis
                                    Topic 5: Hunting Analytics and Threat Assessment20%- Threat validation and scope
                                    • 1. Distinguish legitimate vs adversary activity
                                      • 2. Map activity to known threats and vulnerabilities
                                        - Behavioral analysis
                                        • 1. Identify suspicious and malicious patterns
                                          • 2. Decode command-line and activity strings

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                                            CrowdStrike Certified Falcon Hunter Sample Questions (Q37-Q42):

                                            NEW QUESTION # 37
                                            Which of the following is an example of actor actions during the RECONNAISSANCE phase of the Cyber Kill Chain?

                                            Answer: B

                                            Explanation:
                                            Discovering internet-facing servers is an example of actor actions during the RECONNAISSANCE phase of the Cyber Kill Chain. The RECONNAISSANCE phase is where the adversary researches and identifies targets, vulnerabilities, and attack vectors. Discovering internet-facing servers is a way for the adversary to find potential entry points or weaknesses in the target network.


                                            NEW QUESTION # 38
                                            What is the difference between a Host Search and a Host Timeline?

                                            Answer: B

                                            Explanation:
                                            This is the difference between a Host Search and a Host Timeline. A Host Search is an Investigate tool that allows you to view events by category, such as process executions, network connections, file writes, etc. A Host Timeline is an Investigate tool that allows you to view all events in chronological order, without any categorization. Both tools can be used for detection investigation and proactive hunting, depending on the use case and preference. You can access a Host Search from a detection or manually enter the host details. You can also populate the Host Timeline fields manually or from other pages in Falcon.


                                            NEW QUESTION # 39
                                            What is the main purpose of the Mac Sensor report?

                                            Answer: D

                                            Explanation:
                                            The Mac Sensor report is a pre-defined report that provides a summary view of selected activities on Mac hosts. It shows information such as process execution events, network connection events, file write events, etc. that occurred on Mac hosts within a specified time range. The Mac Sensor report does not identify endpoints that are in Reduced Functionality Mode, provide vulnerability assessment for Mac Operating Systems, or provide a dashboard for Mac related detections.


                                            NEW QUESTION # 40
                                            In which of the following stages of the Cyber Kill Chain does the actor not interact with the victim endpoint(s)?

                                            Answer: D

                                            Explanation:
                                            Weaponization is the stage of the Cyber Kill Chain where the actor does not interact with the victim endpoint(s). Weaponization is where the actor prepares or packages the exploit or payload that will be used to compromise the target. This stage does not involve any communication or interaction with the victim endpoint(s), as it is done by the actor before delivering the weaponized content. Exploitation, Command & Control, and Installation are all stages where the actor interacts with the victim endpoint(s), either by executing code, establishing communication, or installing malware.


                                            NEW QUESTION # 41
                                            How do you rename fields while using transforming commands such as table, chart, and stats?

                                            Answer: B

                                            Explanation:
                                            The rename command is used to rename fields while using transforming commands such as table, chart, and stats. It can be used after the transforming command and specify the old and new field names with the AS keyword. You can rename fields as it would not affect sub-queries and statistical analysis, as long as you use the correct field names in your queries. The renamed keyword and the desired name after the field name are not valid ways to rename fields.


                                            NEW QUESTION # 42
                                            ......

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