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NEW QUESTION # 74
MITRE D3FEND is designed to compliment MITRE's list of adversarial tactics, techniques, and common knowledge (ATT&CK). Which tactics are associated with MITRE D3FEND in order to detect, deny, and disrupt adversarial efforts?
Answer: B
Explanation:
MITRE D3FEND provides defensive tactics that complement MITRE ATT&CK. The associated tactics are Harden, Detect, Isolate, Deceive, and Evict, which map to defensive measures organizations can use to counter adversarial behaviors.
NEW QUESTION # 75
What is the role of event timestamping during Splunk's data indexing?
Answer: C
Explanation:
Why is Event Timestamping Important in Splunk?
Event timestamps helpmaintain the correct sequence of logs, ensuring that data isaccurately analyzed and correlated over time.
#Why "Ensuring Events Are Organized Chronologically" is the Best Answer?(AnswerD)#Prevents event misalignment- Ensures logs appear in the correct order.#Enables accurate correlation searches- Helps SOC analyststrace attack timelines.#Improves incident investigation accuracy- Ensures that event sequences are correctly reconstructed.
#Example in Splunk:#Scenario:A security analyst investigates abrute-force attackacross multiple logs.
#Without correct timestamps, login failures might appearout of order, making analysis difficult.#With proper event timestamping, logsline up correctly, allowing SOC analysts to detect theexact attack timeline.
Why Not the Other Options?
#A. Assigning data to a specific sourcetype- Sourcetypes classify logs butdon't affect timestamps.#B.
Tagging events for correlation searches- Correlation uses timestamps buttimestamping itself isn't about tagging.#C. Synchronizing event data with system time- System time matters, butevent timestamping is about chronological ordering.
References & Learning Resources
#Splunk Event Timestamping Guide: https://docs.splunk.com/Documentation/Splunk/latest/Data
/HowSplunkextractstimestamps#Best Practices for Log Time Management in Splunk: https://www.splunk.com
/en_us/blog/tips-and-tricks#SOC Investigations & Log Timestamping: https://splunkbase.splunk.com
NEW QUESTION # 76
The Director of Security would like to understand the operational efficiency of the SOC analysts at a high level. What is a metric that can be used to determine their efficiency?
Answer: D
Explanation:
MTTR - Mean Time to Respond/Resolve - is the most appropriate high-level indicator of SOC analyst operational efficiency among the choices provided. It measures how quickly the SOC progresses from identification of an actionable security condition through investigation and response or resolution, depending on the organization ' s specific MTTR definition.
MTTD, or Mean Time to Detect, primarily measures detection capability and telemetry/detection-engineering effectiveness rather than analyst processing efficiency. A strong SOC could have excellent analyst workflows yet still exhibit a high MTTD if telemetry coverage or detection content is weak. MTBR is generally associated with reliability or recurrence-oriented measurements and is not the primary SOC analyst efficiency metric. MTTI can measure investigation duration in some organizations, but MTTR provides the broader executive-level operational indicator requested by the question.
For leadership reporting, MTTR is most useful when segmented by severity, incident class, team, or reporting period; a single aggregate average can otherwise be distorted by extreme cases. The supplied Cybersecurity Defense Engineer material emphasizes measurable SOC lifecycle metrics and distinguishes operational performance indicators from simple activity counts.
Study Guide topics: SOC performance metrics, operational efficiency, MTTR, incident lifecycle measurement, security-program reporting.
NEW QUESTION # 77
In Enterprise Security, what is the name of the threat intelligence lookup pertaining to files?
Answer: B
Explanation:
In Splunk Enterprise Security, the file_intel lookup is used for threat intelligence related to files, such as file hashes or suspicious file indicators. This lookup allows correlation searches and risk scoring to incorporate known malicious file information.
NEW QUESTION # 78
Which Splunk feature helps to standardize data for better search accuracy and detection logic?
Answer: D
Explanation:
Why Use "Data Models" for Standardized Search Accuracy and Detection Logic?
SplunkData Modelsprovide astructured, normalized representationof raw logs, improving:
#Search consistency across different log sources#Detection logic by ensuring standardized field names#Faster and more efficient querieswith data model acceleration
#Example in Splunk Enterprise Security:#Scenario:A SOC team monitors login failures acrossmultiple authentication systems.#Without Data Models:Different logs usesrc_ip, source_ip, or ip_address, making searches complex.#With Data Models:All fieldsmap to a standard format, enablingconsistent detection logic.
Why Not the Other Options?
#A. Field Extraction- Extracts fields from raw events butdoes not standardize field names across sources.#C.
Event Correlation- Detects relationships between logsbut doesn't normalize data for search accuracy.#D.
Normalization Rules- A general term; Splunkuses CIM & Data Models for normalization.
References & Learning Resources
#Splunk Data Models Documentation: https://docs.splunk.com/Documentation/Splunk/latest/Knowledge
/Aboutdatamodels#Using CIM & Data Models for Security Analytics: https://splunkbase.splunk.com/app
/263#How Data Models Improve Search Performance: https://www.splunk.com/en_us/blog/tips-and-
NEW QUESTION # 79
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