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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Security Operations | 34% | - Security Monitoring and Analysis
|
| Topic 2: Reporting and Communication | 16% | - Documentation and Stakeholder Communication
|
| Topic 3: Incident Response and Management | 24% | - Incident Handling and Investigation
|
| Topic 4: Vulnerability Management | 26% | - Vulnerability Assessment and Remediation
|
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NEW QUESTION # 66
Which of the following allows an organization to leverage AI in various forms while protecting business objectives and data?
Answer: C
Explanation:
AI usage policies establish organizational boundaries for how artificial intelligence systems may be selected, accessed, configured, and used. They allow an organization to obtain operational benefits from AI while controlling risks involving confidential information, intellectual property, regulated data, model outputs, external AI services, and inappropriate automation. A strong policy can define approved platforms, prohibited data categories, validation requirements, human oversight, retention rules, acceptable use, and escalation procedures.
Prompt engineering is a technical method for constructing inputs that produce more useful model responses. It can improve output quality but does not establish enterprise-wide safeguards for protecting business objectives or sensitive information. A non-disclosure agreement establishes contractual confidentiality obligations between parties; it cannot govern the full technical and operational use of AI systems. An incident response policy determines how security incidents are managed and escalated, but it is reactive and not designed to establish routine AI governance.
CS0-004 explicitly addresses AI within Security Operations. The objectives identify AI risks including hallucinations, data exposure, model poisoning, and malicious prompts and identify governance considerations including legal or regulatory compliance and AI usage policies . AI use cases include log analysis, artifact comparison, incident investigation, event correlation, and automation.
Study Guide Reference: Security Operations # AI in Security Operations # AI Risks # Governance # AI Usage Policies # Data Protection.
NEW QUESTION # 67
Which of the following is the most difficult for threat actors to change according to the Pyramid of Pain model?
Answer: B
Explanation:
Tactics, techniques, and procedures (TTPs) occupy the highest level of the Pyramid of Pain because they represent the adversary's operational behavior rather than disposable technical artifacts. The model describes how different types of defensive indicators impose progressively greater disruption on an attacker when defenders successfully detect and deny them.
An IP address is comparatively easy to replace by changing hosting infrastructure, using a proxy, acquiring a new virtual server, or moving command-and-control services. Domain names similarly can be registered or replaced with relatively limited operational impact. Tools create greater difficulty because replacing or substantially modifying malware, frameworks, or utilities requires more attacker effort.
TTPs are significantly more costly to change because they encompass how the adversary conducts operations : the sequence and methods used for initial access, persistence, credential access, privilege escalation, lateral movement, command and control, and other objectives. Forcing attackers to change established behavior may require retraining personnel, redesigning operational processes, developing new capabilities, or adopting unfamiliar techniques.
This is why behavioral detection is strategically valuable. Indicators such as hashes and IP addresses may disappear quickly, while detections focused on adversary behavior can remain useful across multiple toolsets and infrastructure changes.
Study Guide Reference: Security Operations # Threat Intelligence # Pyramid of Pain # TTPs # Behavioral Indicators # Adversary Tracking.
NEW QUESTION # 68
Which of the following is the most likely reason an organization might implement compensating controls?
Answer: D
Explanation:
Compensating controls are appropriate when the preferred remediation cannot currently be implemented but the organization must still reduce exposure. A mission-critical system with an unpatched vulnerability for which no vendor patch exists is a classic example. The system cannot simply be removed from service because the business requires it, and conventional patching is unavailable.
The organization may therefore deploy alternative controls such as network segmentation, restrictive firewall rules, application allowlisting, disabling unnecessary services, enhanced monitoring, IPS signatures, access restrictions, or isolation of affected functionality. These measures do not eliminate the underlying defect; instead, they reduce the probability or impact of exploitation while a permanent solution is developed.
NIST's control framework is designed to allow security controls to be selected and tailored according to organizational mission requirements and risk, supporting the broader principle that organizations may apply appropriate alternative safeguards when operational constraints exist.
Option B requires no compensating control because remediation has already occurred. Option C describes a vulnerability that is not applicable to the organization's systems. Option D represents a false positive and therefore does not constitute an actual exposure requiring mitigation.
Study Guide Reference: Vulnerability Management # Mitigation # Compensating Controls # Patch Availability # Mission-Critical Systems # Segmentation and Monitoring.
NEW QUESTION # 69
A cybersecurity analyst is reviewing static application security testing scan results and notices a finding for hard-coded credentials. Which of the following should the analyst recommend to the application team to resolve this concern?
Answer: C
Explanation:
A secrets-management solution stores credentials, API keys, and tokens outside the source code and securely provides them to the application when needed.
NEW QUESTION # 70
Which of the following should a cybersecurity analyst utilize when a notification is inaccurate?
Answer: A
Explanation:
Alert tuning is the appropriate response when a security notification is inaccurate. Detection technologies depend on rules, thresholds, signatures, behavioral models, correlation conditions, exclusions, and environmental context. When these settings are too broad or poorly calibrated, the result may be false positives, unnecessary notifications, or detections that do not accurately represent the underlying activity.
Tuning involves examining the detection that generated the notification and modifying its logic so it more accurately distinguishes malicious activity from legitimate behavior. This can include adjusting thresholds, excluding known-benign entities, refining queries, changing correlation windows, or adding contextual conditions. Microsoft Sentinel specifically recommends modifying analytics rules or creating appropriate exceptions to manage false positives, and its current guidance identifies tuning as a method of reducing noise and improving detection quality.
Data enrichment adds additional context but does not inherently correct an inaccurate detection. Dashboard creation changes visualization rather than detection logic. Threat hunting is a proactive investigative activity used to search for threats that may not have generated alerts; it is not the primary technique for correcting inaccurate notifications.
Study Guide Reference: Security Operations # Security Monitoring # Detection Engineering # Rule/Alert Tuning # False Positives and False Negatives # Detection Optimization.
NEW QUESTION # 71
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