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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Engineering | 10% | - Data ingestion and onboarding - Data parsing, normalization, and CIM alignment - Indexing performance and management |
| Topic 2: Security Operations and Program Development | 20% | - SOC process design and operational workflows - Threat intelligence integration |
| Topic 3: Detection Engineering | 40% | - Creation and tuning of detections (Correlation Searches) - Notable event generation and lifecycle management - Detection enrichment with context and risk-based alerting |
| Topic 4: Security Automation (SOAR) | 30% | - Incident response automation and orchestration - Playbook design and automation workflows |
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NEW QUESTION # 16
An engineer adds a custom event status of ' Testing ' and accidentally makes it the new default status.
Their SOC calculates some metrics based on Notable status change sequences, starting from the old default status of ' New ' . Which metrics can be affected by this mistake?
Answer: D
Explanation:
The affected metrics are Mean Time to Respond and Mean Time to Resolve because both can depend on the expected lifecycle of a notable beginning in the default New state and progressing through subsequent analyst-handling states.
If Testing is accidentally configured as the default, newly generated notables no longer begin with the status value expected by searches or reports that identify sequences such as:
New # In Progress
or
New # ... # Resolved
As a result, the timestamp used to establish the beginning of the response or resolution interval may be missing from the expected status-change sequence, producing inaccurate, incomplete, or excluded metric calculations.
Dwell Time is different. It measures how long malicious activity remains present or undetected in the environment and is not fundamentally calculated from Enterprise Security notable-status transitions. That eliminates options C and D. Option B is also incorrect because changing a status value relied upon by existing SOC metric searches can directly alter their results.
The supplied guide explicitly emphasizes notable status and ownership as operational SOC measurement fields , supporting the importance of preserving lifecycle-state consistency.
Study Guide topics: notable-event lifecycle, status transitions, Mean Time to Respond, Mean Time to Resolve, SOC metrics, reporting consistency.
NEW QUESTION # 17
Which of the following identifies elements of the Detection Development Lifecycle (DDLC)?
Answer: C
Explanation:
The lifecycle sequence represented by the course question is Design, Develop, Test, Deploy . These stages describe the fundamental progression required to transform a detection concept into operational security content.
During Design , engineers define the threat behavior, telemetry requirements, analytic objective, expected entities, false-positive considerations, and desired analyst outcome. Develop converts those requirements into SPL, correlation-search logic, risk logic, annotations, and appropriate output fields. Test validates the detection against representative telemetry, historical events, simulations, or controlled attack activity and evaluates both positive detection behavior and false-positive conditions. Deploy moves the validated analytic into the operational environment with the proper schedule, permissions, response configuration, and monitoring expectations.
Documentation, research, monitoring, and maintenance are important supporting practices, but the question asks for the lifecycle elements represented by the DDLC formulation used here. Option D provides the coherent ordered core development sequence; the other choices omit essential stages or place activities in combinations that do not reflect the expected lifecycle.
Study Guide topics: Detection Development Lifecycle, design, SPL development, testing, validation, deployment, detection engineering governance.
NEW QUESTION # 18
A SOC's Incident Response Standard Operating Procedure (SOP) calls for any phishing emails containing files to be detonated in Splunk Attack Analyzer for evaluation. Which of the following can an engineer implement to gain efficiency through automation?
Answer: D
Explanation:
The most efficient approach is to use a SOAR playbook to automatically handle the Splunk Attack Analyzer submission and data collection steps, then present the results to the assigned analyst.
This reduces manual effort, accelerates phishing investigation workflows, and aligns directly with the SOC's SOP.
NEW QUESTION # 19
Which phase of the incident response lifecycle would cause the least amount of friction when replacing manual steps with automation?
Answer: C
Explanation:
Triage generally provides the lowest-friction opportunity for replacing manual SOC work with automation because much of triage consists of deterministic, repetitive information-gathering and enrichment tasks.
A SOAR playbook can automatically retrieve reputation information, collect endpoint details, query identity context, check threat intelligence, detonate suspicious files or URLs, deduplicate findings, and assemble evidence before an analyst reviews the incident. These activities are generally reversible and low impact compared with active response operations. The supplied material demonstrates this principle through automation scenarios where SOAR handles repetitive Attack Analyzer submission and data-collection steps before presenting the information to an analyst.
Containment introduces greater friction because actions such as disabling an account or isolating a production endpoint can disrupt business operations. Remediation may involve deleting files, changing configurations, resetting credentials, or restoring systems and therefore generally requires stronger controls.
Rendering a verdict frequently requires contextual human judgment, particularly where evidence is ambiguous.
Automating triage first therefore provides high efficiency gains while maintaining relatively low operational risk.
Study Guide topics: SOAR automation, triage, enrichment, incident-response lifecycle, automation guardrails, containment, remediation.
NEW QUESTION # 20
Which of the following is a methodology to help prevent malicious lateral movement?
Answer: B
Explanation:
Zero Trust is a security methodology that helps prevent malicious lateral movement by enforcing the principle of "never trust, always verify." It restricts access based on continuous verification, least privilege, and microsegmentation, making it harder for attackers to move laterally within the network.
NEW QUESTION # 21
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