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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Security Automation (SOAR) | 30% | - Incident response automation and orchestration - Playbook design and automation workflows |
| Topic 2: Security Operations and Program Development | 20% | - SOC process design and operational workflows - Threat intelligence integration |
| Topic 3: Data Engineering | 10% | - Data ingestion and onboarding - Indexing performance and management - Data parsing, normalization, and CIM alignment |
| Topic 4: Detection Engineering | 40% | - Detection enrichment with context and risk-based alerting - Notable event generation and lifecycle management - Creation and tuning of detections (Correlation Searches) |
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質問 # 84
The following SPL is designed to report on a certain SOC metric. Which metric is the most likely topic for this report?
正解：A
解説：
The SPL calculates the time difference between create_time and triage_time for notable events.
This directly measures how long it takes analysts to triage an alert after it is created, which is the definition of Mean Time to Triage (MTTT).
質問 # 85
An engineer wants to track and report on all authentication to corporate assets, and wants to prioritize critical assets without significantly increasing the number of findings (notable events) generated. What process could be used to accomplish this goal?
正解：D
解説：
By adding all access attempts to the Risk Index and then increasing the Criticality of critical assets, the engineer ensures all authentication activity is tracked while prioritizing findings involving high-value assets. This approach leverages risk-based alerting without flooding the SOC with unnecessary notable events.
質問 # 86
Which of the following can process data from configured containers using an automated sequence of actions?
正解：D
解説：
Playbooks in Splunk SOAR can process data from containers using an automated sequence of actions. They orchestrate investigations and responses by chaining together tasks, decisions, and actions across integrated tools.
質問 # 87
A security team notices delays in responding to phishing emails due to manual investigation processes.
Howcan Splunk SOAR improve this workflow?
正解：B
解説：
How Splunk SOAR Improves Phishing Response?
Phishing attacks require fast detection and response. Manual investigation delays can be eliminated using Splunk SOAR automation.
#Why Use Playbooks for Automated Email Triage? (Answer B)#Extracts email headers and attachments for analysis#Checks links & attachments against threat intelligence feeds#Automatically quarantines or deletes malicious emails#Escalates high-risk cases to SOC analysts
#Example Playbook Workflow in Splunk SOAR:#Scenario: A suspicious email is reported.#Splunk SOAR playbook automatically:
Extracts sender details & checks against threat intelligence
Analyzes URLs & attachments using VirusTotal/Sandboxing
Tags the email as "Malicious" or "Safe"
Quarantines the email & alerts SOC analysts
Why Not the Other Options?
#A. Prioritizing phishing cases manually - Still requires manual effort, leading to delays.#C. Assigning cases to analysts in real-time - Doesn't solve the issue of slow manual investigations.#D. Increasing the indexing frequency of email logs - Helps with log retrieval but doesn't automate phishing response.
References & Learning Resources
#Splunk SOAR Phishing Playbook Guide: https://docs.splunk.com/Documentation/SOAR#Phishing Detection Automation in Splunk: https://splunkbase.splunk.com#Email Threat Intelligence with SOAR:
https://www.splunk.com/en_us/blog/security
質問 # 88
What is the primary purpose of data indexing in Splunk?
正解：D
解説：
Understanding Data Indexing in Splunk
In Splunk Enterprise Security (ES) and Splunk SOAR, data indexing is a fundamental process that enables efficient storage, retrieval, and searching of data.
Why is Data Indexing Important?
Stores raw machine data (logs, events, metrics) in a structured manner. Enables fast searching through optimized data storage techniques. Uses an indexer to process, compress, and store data efficiently.
Why the Correct Answer is B?
Splunk indexes data to store it efficiently while ensuring fast retrieval for searches, correlation searches, and analytics.
It assigns metadata to indexed events, allowing SOC analysts to quickly filter and search logs.
質問 # 89
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