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CompTIA SecAI+ Certification Sample Questions:
1. A user interface engineer adds new graphics to the latest release of an AI-integrated application. During the update, the engineer accidentally causes the model to retrain on unverified data. After the update, the model begins to return many errors.
Which of the following is the best way to mitigate future errors?
A) Web application firewall
B) Generative adversarial network
C) Role-based access control
D) Model development life cycle
2. Which of the following is a risk addressed by responsible AI?
A) Data poisoning
B) Model drift
C) Response bias
D) Reputational loss
3. A data scientist is working with unlabeled data and wants to build a clustering model.
Which of the following techniques should a data scientist use?
A) Semi-supervised learning
B) Unsupervised learning
C) Supervised learning
D) Reinforcement learning
4. A security administrator needs to improve an AI model. During an initial investigation, the administrator notices that two successive login failures are recorded every day, and then a successful login occurs after a specific time interval. All the successful login attempts have been during office hours.
Which of the following techniques should the administrator use to improve the AI model ' s security?
A) Signature matching
B) Pattern recognition
C) Vulnerability analysis
D) Access management
5. A group of security engineers is developing a SIEM system that will be able to ingest data from multiple structured and unstructured sources, have a chatbot integrated with an LLM that the security analyst can interact with, and provide insights from the SIEM alert data.
Which of the following techniques should the security engineers consider before collecting the data from the respective sources?
A) Verification
B) Vector storage
C) Balancing
D) Cleansing
Solutions:
Question # 1 Answer: D | Question # 2 Answer: C | Question # 3 Answer: B | Question # 4 Answer: B | Question # 5 Answer: D |