CY0-001 Reliable Study Questions | CY0-001 Certification Test Answers

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CompTIA CY0-001 Exam Syllabus Topics:

SectionWeightObjectives
Basic AI Concepts Related to Cybersecurity17%- AI applications in security
  • 1. Threat detection and anomaly analysis
  • 2. Security automation and decision support
- Core AI principles and terminology
  • 1. Machine learning, deep learning, NLP, automation
  • 2. Generative AI concepts and capabilities
- AI-driven threats and risks
  • 1. Malicious use of generative AI
  • 2. Automated phishing, polymorphic malware
  • 3. Adversarial machine learning attacks
Securing AI Systems40%- Security controls for AI systems
  • 1. Data protection: integrity, confidentiality, privacy
  • 2. Deployment environment security
  • 3. Model security: access, integrity, anti-tampering
- Secure AI development and operations
  • 1. DevSecOps integration for AI
  • 2. Secure MLOps and AI pipeline design
- Defending against AI-specific attacks
  • 1. Prompt injection, data poisoning, model inversion
  • 2. Adversarial example defense
  • 3. Threat modeling for AI lifecycles
AI Governance, Risk and Compliance19%- Compliance and legal requirements
  • 1. Transparency, accountability and auditability
  • 2. Data protection and privacy laws
- Governance frameworks and policies
  • 1. Responsible AI principles and ethics
  • 2. Global standards: NIST AI RMF, EU AI Act
  • 3. Organizational AI governance structures
- Risk management for AI
  • 1. AI risk identification and assessment
  • 2. Risk mitigation and control strategies
AI-assisted Security24%- AI in security strategy and operations
  • 1. Threat modeling and risk assessment
  • 2. Compliance monitoring and auditing
- Security automation and orchestration
  • 1. Vulnerability management and assessment
  • 2. Workflow automation and response playbooks
- AI for threat detection and response
  • 1. Accelerated threat hunting
  • 2. Anomaly detection and behavioral analysis
  • 3. Automated incident triage and correlation

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CompTIA SecAI+ Certification Exam Sample Questions (Q102-Q107):

NEW QUESTION # 102
An AI security administrator receives an inquiry about an unusually high monthly bill from the AI solution provider. The administrator thinks the majority of staff might be using the most powerful model available.
Which of the following AI measures should the administrator implement to lower costs?

Answer: D

Explanation:
Basic Concept: LLM API billing is primarily based on token consumption. High costs resulting from staff using powerful, verbose models can be controlled by limiting the maximum tokens processed per interaction and restricting which models staff can access. CompTIA SecAI+ Study Guide covers token management as the primary cost control mechanism for AI deployments.
Why D is Correct: Implementing token limits caps the maximum tokens consumed per API call for both input and output. This directly controls the per-interaction cost by preventing excessively long prompts or overly verbose model responses from generating large token bills. Combined with model tier restrictions, token limits ensure that interactions with powerful models remain within budget constraints regardless of how extensively staff use the service.
Why A is Wrong: Storage monitoring tracks the utilization and performance of data storage systems. Storage costs are separate from LLM API token-based billing and monitoring storage does not address the high API charges resulting from excessive model usage by staff.
Why B is Wrong: Modality types refer to the input formats an AI model accepts such as text, images, audio, or video. While different modalities have different pricing, managing modality types is not the direct cost control lever. Token consumption is the primary cost driver for text-based interactions.
Why C is Wrong: Prompt firewalls inspect and filter prompt content for security and policy compliance.
While they can block certain types of queries, they are designed for security purposes, not as financial controls to limit token consumption or enforce cost budgets across staff usage.


NEW QUESTION # 103
A company uses human review for software development validation and wants to add another validation layer. Which of the following should a security administrator use to accomplish task?

Answer: A

Explanation:
AI-assisted approval adds an automated validation layer alongside human review, helping detect potential security or quality issues in software development before deployment. This strengthens the overall validation process.


NEW QUESTION # 104
A security operations center (SOC) has a very high volume of logs and alerts. The manager proposes the implementation of machine learning (ML) system to help with triage. Which of the following tasks is most suitable?

Answer: D

Explanation:
Machine learning is best suited for analyzing large volumes of security data and distinguishing between true threats and false positives. By identifying and classifying alerts, the ML system helps the SOC prioritize incidents and reduce analyst workload.


NEW QUESTION # 105
What control reduces the impact radius when a single host is compromised?

Answer: B

Explanation:
Segmentation isolates systems and limits lateral movement.


NEW QUESTION # 106
Global IPs attempt logins against thousands of accounts with known breached credentials. What attack is occurring?

Answer: D

Explanation:
Credential stuffing uses leaked username-password pairs.


NEW QUESTION # 107
......

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