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NEW QUESTION # 19
What framework in Enterprise Security allows engineers to build detections using known malicious IOCs comparing them to event logs to find suspicious behavior?
Answer: A
Explanation:
The Threat Intelligence Framework in Splunk Enterprise Security enables engineers to build detections using known malicious IOCs (such as IPs, domains, or file hashes) and compare them against event logs. This framework automates IOC correlation to identify suspicious behavior.
NEW QUESTION # 20
A security analyst wants to validate whether a newly deployed SOAR playbook is performing as expected. What steps should they take?
Answer: A
Explanation:
A SOAR (Security Orchestration, Automation, and Response) playbook is a set of automated actions designed to respond to security incidents. Before deploying it in a live environment, a security analyst must ensure that it operates correctly, minimizes false positives, and doesn't disrupt business operations.
Key Reasons for Using Simulated Incidents:
Ensures that the playbook executes correctly and follows the expected workflow.
Identifies false positives or incorrect actions before deployment.
Tests integrations with other security tools (SIEM, firewalls, endpoint security).
Provides a controlled testing environment without affecting production.
How to Test a Playbook in Splunk SOAR?
1. Use the "Test Connectivity" Feature - Ensures that APIs and integrations work.
2. Simulate an Incident - Manually trigger an alert similar to a real attack (e.g., phishing email or failed admin login).
3. Review the Execution Path - Check each step in the playbook debugger to verify correct actions.
4. Analyze Logs & Alerts - Validate that Splunk ES logs, security alerts, and remediation steps are correct.
5. Fine-tune Based on Results - Modify the playbook logic to reduce unnecessary alerts or excessive automation.
NEW QUESTION # 21
The following SPL is designed to report on a certain SOC metric. Which metric is the most likely topic for this report?
| tstats summariesonly=true earliest(_time) as _time
FROM datamodel=Incident_Management
BY " Notable_Events.Meta.rule_id "
| rename " Notable_Events.Meta.* " as " * "
| lookup update=true incident_updates_lookup rule_id OUTPUTNEW time
| search time=*
| stats earliest(_time) as create_time, min(time) as triage_time by rule_id
| eval diff=triage_time-create_time,
stat_type=if(
create_time < relative_time(now(), " -7d@d " ),
" past " ,
" current "
),
past=if(stat_type= " past " , 1, 0),
current=if(stat_type= " current " , 1, 0),
past_diff=if(stat_type= " past " , diff, 0),
current_diff=if(stat_type= " current " , diff, 0)
| stats sum(past) AS past,
sum(current) AS current,
sum(past_diff) AS past_diff,
sum(current_diff) AS current_diff
| eval past=round(past_diff/past/60),
current=round(current_diff/current/60)
| table past, current
| transpose
Answer: C
Explanation:
The SPL is measuring Mean Time to Triage because it calculates the elapsed time between creation of a notable event and the earliest recorded triage-related update.
The most important portion is:
| stats earliest(_time) as create_time, min(time) as triage_time by rule_id
| eval diff=triage_time-create_time
create_time represents when the notable was first generated, while triage_time is derived from the earliest applicable incident update. Subtracting the creation timestamp from the triage timestamp produces the amount of time analysts required to begin processing or triaging the finding.
The search then categorizes records into past and current periods, calculates average differences, and converts those values into minutes. This permits comparison of SOC triage performance across reporting periods.
Mean Time to Respond would require a timestamp representing a response action. Mean Time to Resolve requires closure or resolution information. Dwell Time measures how long adversary activity remains present or undetected and is therefore conceptually different from the notable-event lifecycle calculation shown.
Study Guide topics: SOC metrics, Mean Time to Triage, Incident Management data model, notable lifecycle, incident_updates_lookup, operational performance reporting.
NEW QUESTION # 22
An organization uses MITRE ATT&CK to enhance its threat detection capabilities.
Howshould this methodology be incorporated?
Answer: C
Explanation:
MITRE ATT&CK is a threat intelligence framework that helps security teams map attack techniques to detection rules.
#1. Develop Custom Detection Rules Based on Attack Techniques (A)
Maps Splunk correlation searches to MITRE ATT&CK techniques to detect adversary behaviors.
Example:
To detect T1078 (Valid Accounts):
index=auth_logs action=failed | stats count by user, src_ip
If an account logs in from anomalous locations, trigger an alert.
#Incorrect Answers:
B: Use it only for reporting after incidents # MITRE ATT&CK should be used proactively for threat detection.
C: Rely solely on vendor-provided threat intelligence # Custom rules tailored to an organization's threat landscape are more effective.
D: Deploy it as a replacement for current detection systems # MITRE ATT&CK complements existing SIEM
/EDR tools, not replaces them.
#Additional Resources:
MITRE ATT&CK & Splunk
Using MITRE ATT&CK in SIEMs
NEW QUESTION # 23
What does Splunk's term "bucket" refer to in data indexing?
Answer: D
NEW QUESTION # 24
......
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