Dieusel Digital

Daniel Foster Daniel Foster

0 Course Enrolled • 0 Course Completed

Biography

ISACA AAISM덤프최신문제 & AAISM인증시험덤프문제

BONUS!!! KoreaDumps AAISM 시험 문제집 전체 버전을 무료로 다운로드하세요: https://drive.google.com/open?id=1O3vXR-9L9Vbj7sXiJ9aIPDnk-U9ox9jo

KoreaDumps전문가들은ISACA AAISM인증시험만을 위한 특별학습가이드를 만들었습니다.ISACA AAISM인증시험을 응시하려면 30분이란 시간만 투자하여 특별학습가이드로 빨리 관련지식을 장악하고,또 다시 복습하고 안전하게ISACA AAISM인증시험을 패스할 수 잇습니다.자격증취득 많은 시간과 돈을 투자한 분들보다 더 가볍게 이루어졌습니다

ISACA AAISM 시험요강:

주제
소개

주제 1

AI Governance and Program Management: This section of the exam measures the abilities of AI Security Governance Professionals and focuses on advising stakeholders in implementing AI security through governance frameworks, policy creation, data lifecycle management, program development, and incident response protocols.

주제 2

AI Risk Management: This section of the exam measures the skills of AI Risk Managers and covers assessing enterprise threats, vulnerabilities, and supply chain risk associated with AI adoption, including risk treatment plans and vendor oversight.

주제 3

AI Technologies and Controls: This section of the exam measures the expertise of AI Security Architects and assesses knowledge in designing secure AI architecture and controls. It addresses privacy, ethical, and trust concerns, data management controls, monitoring mechanisms, and security control implementation tailored to AI systems.

>> ISACA AAISM덤프최신문제 <<

AAISM덤프최신문제 완벽한 시험자료

많은 시간과 돈이 필요 없습니다. 30분이란 특별학습가이드로 여러분은ISACA AAISM인증시험을 한번에 통과할 수 있습니다, KoreaDumps에서ISACA AAISM시험자료의 문제와 답이 실제시험의 문제와 답과 아주 비슷한 덤프만 제공합니다.

최신 Isaca Certification AAISM 무료샘플문제 (Q123-Q128):

질문 # 123
Which of the following information is MOST important to include in a centralized AI inventory?

A. AI model use cases
B. Training data sets
C. Foundation model and package registry
D. Ownership and accountability of AI systems

정답：D

설명：
AAISM governance practices identify ownership and accountability as the most critical element in any centralized AI inventory. An AI inventory provides oversight by cataloging all AI assets within an organization, and assigning responsibility ensures that each system has clear governance, monitoring, and compliance coverage. While use cases, training data, and registries are valuable metadata, they do not guarantee accountability. Without defined ownership, no party is responsible for addressing risk, bias, or incidents. Therefore, the most important information to include is ownership and accountability details for each AI system.
References:
AAISM Exam Content Outline - AI Governance and Program Management (AI Inventories and Oversight) AI Security Management Study Guide - Ownership and Accountability Structures

질문 # 124
A financial organization is concerned about the risk of prompt injection attacks on its customer service chatbot. Which of the following controls BEST addresses this concern?

A. Increasing model parameters
B. Human-in-the-loop
C. Input validation
D. Continuous monitoring

정답：C

설명：
AAISM emphasizes preventive technical controls for LLM threats such as prompt injection, including input validation/sanitization, instruction isolation, allow/deny lists, context segmentation, and output filtering.
These reduce the model's exposure to adversarial instructions embedded in user prompts or retrieved context.
Monitoring (A) is detective, not preventive; increasing parameters (B) does not inherently improve security against injection; human-in-the-loop (D) is valuable for high-risk decisions but does not directly neutralize injection vectors at the control boundary the way input validation and content filtering do.
References: AI Security Management (AAISM) Body of Knowledge - Technical Controls for LLM Security; Input/Output Filtering and Context Isolation; Secure Inference and Prompt Injection Mitigations.

질문 # 125
A CISO has been tasked with providing key performance indicators (KPIs) on the organization's newly launched AI chatbot. Which of the following are the BEST metrics for the CISO to recommend?

A. Response time and throughput
B. Error rate and bias detection
C. Explainability and F1 score
D. Customer effort score and user retention rate

정답：B

설명：
For executive security and governance reporting, AAISM prioritizes risk- and harm-oriented KPIs that reflect safety, reliability, and responsible behavior of AI systems. Error rate (safety/quality signal) and bias detection (fairness/compliance signal) provide leading indicators of model risk, potential user harm, and regulatory exposure-key interests for a CISO. Explainability and F1 (A) are model performance/interpretability metrics; customer effort/retention (B) are business CX metrics; response time/throughput (C) are operational SRE metrics. While valuable, they are secondary to risk-centric KPIs for CISO oversight.
References: AI Security Management™ (AAISM) Body of Knowledge - AI Risk Metrics and Assurance; Governance Dashboards for AI. AAISM Study Guide - Operationalizing AI Controls; Safety, Fairness, and Compliance Indicators for Executive Reporting.
O Error rate and bias detection

질문 # 126
Which of the following BEST ensures AI components are validated as part of disaster recovery testing?

A. Simulating denial of service (DoS) attacks against AI APIs to evaluate detection capabilities
B. Disconnecting primary model training clusters to test retraining workflow during extended outages
C. Running simulated data loss scenarios by erasing test records from the AI system's feature store
D. Monitoring model performance metrics during failover and recovery to assess system stability

정답：D

설명：
Business continuity and disaster recovery (BC/DR) exercises for AI must validate that critical AI components (feature stores, model registries, inference services, pipelines) operate within agreed recovery objectives during failover and restoration. Monitoring and evaluating model performance and stability during DR tests provides objective evidence that AI services remain functional, accurate, and reliable under contingency conditions, thereby validating the AI stack end-to-end.
Option A focuses on retraining during outages (a niche scenario) rather than validating service continuity for production inference. Option B is security testing, not BC/DR validation. Option C tests data loss handling but does not comprehensively validate AI service behavior across failover and recovery.
References: AI Security Management (AAISM) Body of Knowledge: "Operational Resilience-BC/DR for AI Systems," "Validation and Evidence of Continuity"; AAISM Study Guide: "AI DR Test Planning- Metrics, Model Performance Validation, and Recovery Readiness."

질문 # 127
When preparing for an AI incident, which of the following should be done FIRST?

A. Implement a clear communication channel to report AI incidents
B. Create containment and eradication procedures for AI-related incidents
C. Establish a cross-functional incident response team with AI knowledge
D. Establish recovery processes for AI system models and datasets

정답：C

설명：
AAISM prescribes Preparation as the foundational phase of AI incident response. The first priority is to form and empower a cross-functional incident response (IR) team with AI/ML expertise (security, data science, product, legal/compliance). Only once the accountable team exists can you define playbooks, communications, containment/eradication steps, recovery processes, and escalation paths. Without a designated team, procedures and channels lack ownership and effectiveness.
References:* AI Security Management (AAISM) Body of Knowledge: Incident Management-Preparation; Roles & Responsibilities; Cross-functional Coordination* AAISM Study Guide: AI IR Operating Model; Stakeholder Mapping; Authority & Escalation* AAISM Mapping to Standards: Security Operations- Preparation Before Procedures (people and roles precede playbooks)

질문 # 128
......

ISACA AAISM 덤프가 고객님의 기대를 가득 채워드릴수 있도록 정말로 노력하고 있는 KoreaDumps랍니다. ISACA AAISM 덤프는 pdf버전과 소프트웨어버전으로만 되어있었는데 최근에는 휴대폰에서가 사용가능한 온라인버전까지 개발하였습니다. 날따라 새로운 시스템을 많이 개발하여 고객님께 더욱 편하게 다가갈수 있는 KoreaDumps가 되겠습니다.

AAISM인증시험 덤프문제: https://www.koreadumps.com/AAISM_exam-braindumps.html

KoreaDumps AAISM 최신 PDF 버전 시험 문제집을 무료로 Google Drive에서 다운로드하세요: https://drive.google.com/open?id=1O3vXR-9L9Vbj7sXiJ9aIPDnk-U9ox9jo

Cookie	Duration	Description
cookielawinfo-checkbox-analytics	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional	11 months	The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-others	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-performance	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy	11 months	The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.

Daniel Foster Daniel Foster

Biography

COOKIE NOTICE