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| Section | Weight | Objectives |
|---|---|---|
| Building Effective Security Processes and Programs | 20% | - Risk and detection prioritization methodologies - Threat intelligence research, integration and development - Documentation and standard operating procedures development |
| Detection Engineering | 40% | - Generating effective Notable Events and findings - Risk-based modifiers and detections - Creation and tuning of detections and correlation searches - Detection lifecycle management - Incorporating context into detections |
| Automation and Efficiency | 20% | - Integration and automation capability comparison between Enterprise Security and SOAR - Response automation using SOAR playbooks - Automation and orchestration for standard operating procedures - REST API usage and description - Case management optimization |
| Data Engineering | 10% | - Performant data indexing creation and maintenance - Data normalization methods and application - Data review and analysis |
| Auditing and Reporting on Security Programs | 10% | - Security report creation and population - Dashboard building for program analytics - Security metrics development and optimization |
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NEW QUESTION # 15
Which of the following should an engineer do as they evaluate their Threat Detection and Incident Response lifecycle?
Answer: B
NEW QUESTION # 16
When developing security metrics, why would a Key Performance Indicator (KPI) that focuses on total perimeter firewall blocks be an ineffective metric?
Answer: B
Explanation:
A total count of blocked firewall connections describes an outcome generated by the control , rather than measuring how effectively the firewall itself performs against an established operational objective. It is therefore better characterized as a Key Result Indicator (KRI) in the terminology used by the course material.
For example, observing five million blocked connections does not demonstrate that a firewall is performing better than one that blocks one million. The total is heavily influenced by external conditions such as Internet scanning, bot activity, exposure of public services, and changing adversary traffic. The number can increase even when no improvement has occurred in firewall configuration, reliability, policy quality, or security effectiveness.
A meaningful KPI should connect directly to measurable performance-for example control availability, policy deployment accuracy, remediation time, rule-review compliance, or another defined operational objective. Firewall-block volume may remain useful as contextual or trend information, but treating it as a performance metric can produce misleading conclusions about security-program effectiveness.
The supplied study material contains this firewall KPI/KRI distinction.
Study Guide topics: security metrics, KPI versus KRI, control effectiveness, perimeter security, security- program reporting.
NEW QUESTION # 17
Which sourcetype configurations affect data ingestion? (Choose three)
Answer: A,B,C
Explanation:
The sourcetype in Splunk defines how incoming machine data is interpreted, structured, and stored. Proper sourcetype configurations ensure accurate event parsing, indexing, and searching.
1. Event Breaking Rules (A)
Determines how Splunk splits raw logs into individual events.
If misconfigured, a single event may be broken into multiple fragments or multiple log lines may be combined incorrectly.
Controlled using LINE_BREAKER and BREAK_ONLY_BEFORE settings.
2. Timestamp Extraction (B)
Extracts and assigns timestamps to events during ingestion.
Incorrect timestamp configuration leads to misplaced events in time-based searches.
Uses TIME_PREFIX, MAX_TIMESTAMP_LOOKAHEAD, and TIME_FORMAT settings.
3. Line Merging Rules (D)
Controls whether multiline events should be combined into a single event.
Useful for logs like stack traces or multi-line syslog messages.
Uses SHOULD_LINEMERGE and LINE_BREAKER settings.
NEW QUESTION # 18
An engineer has been working on building a new automation for the SOC. What Scope should be selected in the SOAR Playbook Debugger during the playbook development to ensure consistency?
Answer: C
Explanation:
During playbook development and debugging, All Events provides the most consistent test scope because the engineer can repeatedly execute and evaluate the playbook against available event/container data rather than depending exclusively on events created after the playbook was activated.
A scope such as New Events is more appropriate for operational execution when the automation should trigger only as new events arrive. During development, however, restricting execution to newly created objects can make testing inconsistent: an engineer may need to repeatedly create fresh events simply to reproduce the same test case.
The artifact-oriented choices apply when execution is specifically driven by artifact creation or artifact-level behavior. They are not the broad event-level scope requested for consistent playbook debugging.
Using a stable test event is particularly useful when validating branching logic, asset actions, enrichment results, API responses, and downstream automation because the same input can be replayed while the engineer changes individual portions of the playbook.
The supplied study set discusses SOAR playbooks, containers, automation scope, and development workflows, although this exact debugger-scope question is not included verbatim.
Study Guide topics: Splunk SOAR Playbook Debugger, playbook scope, event processing, repeatable testing, automation development.
NEW QUESTION # 19
What is the primary purpose of correlation searches in Splunk?
Answer: D
Explanation:
Correlation searches in Splunk Enterprise Security (ES) are a critical component of Security Operations Center (SOC) workflows, designed to detect threats by analyzing security data from multiple sources.
Primary Purpose of Correlation Searches:
Identify threats and anomalies: They detect patterns and suspicious activity by correlating logs, alerts, and events from different sources.
Automate security monitoring: By continuously running searches on ingested data, correlation searches help reduce manual efforts for SOC analysts.
Generate notable events: When a correlation search identifies a security risk, it creates a notable event in Splunk ES for investigation.
Trigger security automation: In combination with Splunk SOAR, correlation searches can initiate automated response actions, such as isolating endpoints or blocking malicious IPs.
Since correlation searches analyze relationships and patterns across multiple data sources to detect security threats, the correct answer is B. To identify patterns and relationships between multiple data sources.
NEW QUESTION # 20
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