ISACA AAISM Certification Sample Questions

AAISM Dumps, AAISM PDF, AAISM VCE, ISACA Advanced in AI Security Management VCE, ISACA AI Security Management PDFThe purpose of this Sample Question Set is to provide you with information about the ISACA Advanced in AI Security Management (AAISM) exam. These sample questions will make you very familiar with both the type and the difficulty level of the questions on the AAISM certification test. To get familiar with real exam environment, we suggest you try our Sample ISACA AI Security Management Certification Practice Exam. This sample practice exam gives you the feeling of reality and is a clue to the questions asked in the actual ISACA Advanced in AI Security Management (AAISM) certification exam.

These sample questions are simple and basic questions that represent likeness to the real ISACA Advanced in AI Security Management exam questions. To assess your readiness and performance with real-time scenario based questions, we suggest you prepare with our Premium ISACA AAISM Certification Practice Exam. When you solve real time scenario based questions practically, you come across many difficulties that give you an opportunity to improve.

ISACA AAISM Sample Questions:

01. The MOST effective AI-driven capability to ensure real-time business continuity is:
a) Predicting potential disruptions without taking preventive action
b) Sending alerts while waiting for manual intervention
c) Keeping logs of incidents for future analysis
d) Automating system failover to backup servers
 
02. What is the MOST effective way to monitor AI solutions provided by external AI vendors?
a) Wait for supplier reports before investigating.
b) Use real-time tools to track AI anomalies.
c) Prioritize endpoint logs over centralized platforms.
d) Track model input with key performance indicators.
 
03. Within which stage of the AI development life cycle should effective feature engineering be conducted?
a) Development
b) Testing
c) Design
d) Define
 
04. Which of the following is the MOST effective approach to mitigate privacy concerns when an organization collects personal data through a third-party AI application?
a) Have the vendor sign a nondisclosure agreement.
b) Obtain data subject consent on the end user interface.
c) Apply encryption to safeguard personnel data.
d) Conduct a review of applicable data protection regulations.
 
05. An enterprise plans to deploy an AI chatbot provided by an external vendor for customer service purposes. To ensure responsible use and minimize operational risk, which of the following contract terms is MOST critical to define during procurement?
a) Real-time system usage monitoring dashboards for security incidents
b) Inclusion of explainability tools to support end-user transparency
c) Clear assignment of accountability for AI system outcomes and security incidents
d) Vendor incentives tied to customer satisfaction metrics
 
06. When an AI impact assessment reveals biased training data, what is the MOST effective method to ensure regulatory compliance?
a) Keep the original dataset when the model’s accuracy is high.
b) Rely on model transparency to validate decision making
c) Use diverse and representative datasets to monitor the bias.
d) Focus on ethical guidelines to validate model performance.
 
07. Which of the following is the BEST method to uncover known vulnerabilities in an AI-based web application that has been recently deployed?
a) Dynamic application security testing (DAST)
b) Static application security testing (SAST)
c) Runtime application self-protection (RASP)
d) Interactive application security testing (IAST)
 
08. What is the role of an AI governance committee within an organization?
a) To prioritize AI vendors over other business operations
b) To oversee AI implementation and ensure alignment with ethical guidelines
c) To solely focus on marketing AI products
d) To ensure AI models are proprietary and not shared with stakeholders
 
09. Which data management technique BEST improves an AI model’s performance by enhancing training data quality?
a) Data classification
b) Data access
c) Data scrubbing
d) Data encoding
 
10. When designing an AI security architecture, what is the PRIMARY purpose of using adversarial training?
a) To make AI models more resilient to potential attacks
b) To improve the fairness of AI model decisions
c) To reduce the computational cost of resisting attacks
d) To enhance AI model performance on standard datasets

Answers:

Question: 01
Answer: d
Question: 02
Answer: b
Question: 03
Answer: a
Question: 04
Answer: b
Question: 05
Answer: c
Question: 06
Answer: c
Question: 07
Answer: a
Question: 08
Answer: b
Question: 09
Answer: c
Question: 10
Answer: a

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