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CrowdStrike CCFH-202b Exam Syllabus Topics:

Topic	Details
Topic 1	Search and Investigation Tools: This domain covers analyzing file and process metadata, using Investigate Module tools, performing various searches, and interpreting dashboard results.
Topic 2	Hunting Methodology: This domain covers conducting active hunts, performing outlier analysis, testing hunting hypotheses, constructing queries, and investigating process trees.
Topic 3	Reports and References: This domain covers using built-in Hunt and Visibility reports and leveraging Events Full Reference documentation for event information.
Topic 4	ATT&CK Frameworks: This domain covers understanding the cyber kill chain and using the MITRE ATT&CK Framework to model threat actor behaviors and communicate findings to non-technical audiences.
Topic 5	Event Search: This domain focuses on using CrowdStrike Query Language to build queries, format and filter event data, understand process relationships and event types, and create custom dashboards.
Topic 6	Detection Analysis: This domain focuses on analyzing Host and Process Timelines in Falcon to understand events and detections, and pivoting to additional investigative tools.

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CrowdStrike Certified Falcon Hunter Sample Questions (Q30-Q35):

NEW QUESTION # 30
The help desk is reporting an increase in calls related to user accounts being locked out over the last few days. You suspect that this could be an attack by an adversary against your organization. Select the best hunting hypothesis from the following:

A. A password guessing attack is being executed against remote access mechanisms such as VPN
B. A publicly available web application has been hacked and is causing the lockouts
C. Users are locking their accounts out because they recently changed their passwords
D. A zero-day vulnerability is being exploited on a Microsoft Exchange server

Answer: A

Explanation:
A hunting hypothesis is a statement that describes a possible malicious activity that can be tested with data and analysis. A good hunting hypothesis should be specific, testable, and relevant to the problem or goal. In this case, the best hunting hypothesis from the following is that a password guessing attack is being executed against remote access mechanisms such as VPN, as it explains the possible cause and method of the user account lockouts in a specific and testable way. A zero-day vulnerability on a Microsoft Exchange server is too vague and does not explain how it relates to the lockouts. A hacked web application is also too vague and does not specify how it causes the lockouts. Users locking their accounts out because they recently changed their passwords is not a malicious activity and does not account for the increase in calls.

NEW QUESTION # 31
Which field should you reference in order to find the system time of a *FileWritten event?

A. FileTimeStamp_decimal
B. ContextTimeStamp_decimal
C. timestamp
D. ProcessStartTime_decimal

Answer: B

Explanation:
ContextTimeStamp_decimal is the field that shows the system time of the event that triggered the sensor to send data to the cloud. In this case, it would be the time when the file was written. FileTimeStamp_decimal is the field that shows the last modified time of the file, which may not be the same as the time when the file was written. ProcessStartTime_decimal is the field that shows the start time of the process that performed the file write operation, which may not be the same as the time when the file was written. Timestamp is the field that shows the time when the sensor data was received by the cloud, which may not be the same as the time when the file was written.

NEW QUESTION # 32
Which of the following is the proper method to quantify search results, enabling a hunter to quickly sort and identify outliers?

A. Exporting Event Search results to a spreadsheet and aggregating the results
B. Using the "| stats count by" command at the end of a search string in Event Search
C. Using the "|stats count" command at the end of a search string in Event Search
D. Using the "|eval" command at the end of a search string in Event Search

Answer: B

Explanation:
This is the proper method to quantify search results, enabling a hunter to quickly sort and identify outliers. The stats command is used to calculate summary statistics on the results of a search or subsearch, such as count, sum, average, etc. The count by option is used to count the number of events for each distinct value of a field or fields and display them in a table. This can help find rare or common values that could indicate anomalies or deviations from normal behavior.

NEW QUESTION # 33
A benefit of using a threat hunting framework is that it:

A. Provides high fidelity threat actor attribution
B. Provides actionable, repeatable steps to conduct threat hunting
C. Eliminates false positives
D. Automatically generates incident reports

Answer: B

Explanation:
A threat hunting framework is a methodology that guides threat hunters in planning, executing, and improving their threat hunting activities. A benefit of using a threat hunting framework is that it provides actionable, repeatable steps to conduct threat hunting in a consistent and efficient manner. A threat hunting framework does not automatically generate incident reports, eliminate false positives, or provide high fidelity threat actor attribution, as these are dependent on other factors such as data sources, tools, and analysis skills.

NEW QUESTION # 34
Which of the following is a recommended technique to find unique outliers among a set of data in the Falcon Event Search?

A. Machine Learning
B. Time-based Searching
C. Hunt-and-Peck Search Methodology
D. Stacking (Frequency Analysis)

Answer: D

Explanation:
Stacking (Frequency Analysis) is a recommended technique to find unique outliers among a set of data in the Falcon Event Search. As explained above, 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. Hunt-and-Peck Search Methodology, Time-based Searching, and Machine Learning are not specific techniques to find unique outliers among a set of data.

NEW QUESTION # 35
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