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CrowdStrike CCFH-202b Exam Syllabus Topics:

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

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                                            CrowdStrike Certified Falcon Hunter Sample Questions (Q18-Q23):

                                            NEW QUESTION # 18
                                            Which of the following queries will return the parent processes responsible for launching badprogram exe?

                                            Answer: A

                                            Explanation:
                                            This query will return the parent processes responsible for launching badprogram.exe by using a subsearch to find the processrollup2 events where FileName is badprogram.exe, then renaming the TargetProcessld_decimal field to ParentProcessld_decimal and using it as a filter for the main search, then using stats to count the occurrences of each FileName by _time. The other queries will either not return the parent processes or use incorrect field names or syntax.


                                            NEW QUESTION # 19
                                            You need details about key data fields and sensor events which you may expect to find from Hosts running the Falcon sensor. Which documentation should you access?

                                            Answer: A

                                            Explanation:
                                            The Events Data Dictionary found in the Falcon documentation is useful for writing hunting queries because it provides a reference of information about the events found in the Investigate > Event Search page of the Falcon Console. The Events Data Dictionary describes each event type, field name, data type, description, and example value that can be used to query and analyze event data. The Streaming API Event Dictionary, Hunting and Investigation, and Event stream APIs are not documentation that provide details about key data fields and sensor events.


                                            NEW QUESTION # 20
                                            Which Falcon documentation guide should you reference to hunt for anomalies related to scheduled tasks and other Windows related artifacts?

                                            Answer: B

                                            Explanation:
                                            The Hunting and Investigation guide is the Falcon documentation guide that you should reference to hunt for anomalies related to scheduled tasks and other Windows related artifacts. The Hunting and Investigation guide provides sample hunting queries, select walkthroughs, and best practices for hunting with Falcon. It covers various topics such as process execution, network connections, registry activity, scheduled tasks, and more.


                                            NEW QUESTION # 21
                                            Which structured analytic technique contrasts different hypotheses to determine which is the best leading (prioritized) hypothesis?

                                            Answer: A

                                            Explanation:
                                            Analysis of competing hypotheses is a structured analytic technique that contrasts different hypotheses to determine which is the best leading (prioritized) hypothesis. It involves listing all the possible hypotheses, identifying the evidence and assumptions for each hypothesis, evaluating the consistency and reliability of the evidence and assumptions, and rating the likelihood of each hypothesis based on the evidence and assumptions.


                                            NEW QUESTION # 22
                                            To find events that are outliers inside a network,___________is the best hunting method to use.

                                            Answer: C

                                            Explanation:
                                            Stacking (Frequency Analysis) is the best hunting method to use to find events that are outliers inside a network. Stacking involves grouping events by a common attribute and counting their frequency, then sorting them by ascending or descending order to identify rare or common events. This can help find anomalies or deviations from normal behavior that could indicate malicious activity. Time-based searching, machine learning, and searching are not specific hunting methods to find outliers.


                                            NEW QUESTION # 23
                                            ......

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