A social media platform is facing a coordinated disinformation campaign using AI-generated images and text. The platform wants to reduce the spread of this content while also protecting its AI moderation systems from adversarial attacks. Which strategy is most effective?

Deploy bias testing and user verification

Implement content provenance and robust model training

Apply data poisoning detection and output filtering

Use input sanitization and model inversion prevention

A government agency is deploying an AI system to detect misinformation on social media. The system must be resistant to adversarial attacks that could trick it into missing false content. Which strategy is most effective?

Use content provenance and input sanitization

Implement robust model training and continuous monitoring

Deploy model inversion prevention and bias testing

Apply data poisoning detection and user verification

A company is deploying an AI system for hiring. The system is trained on historical data that may contain biases. The company also wants to protect the system from adversarial attacks that could manipulate hiring decisions. Which approach best balances fairness and security?

Deploy model inversion prevention and output filtering

Use content provenance and input sanitization

Apply data poisoning detection and user verification

Implement bias testing and robust model training

CiscoAI Technical Practitioner

Domain 3Objective 3

3.3 Explain AI-specific Security Threats and Risks, Including Misinformation AI-TECHNICAL-PRACTITIONER Practice Questions (Page 2)

Part of the Ethics and Security domain, which accounts for 15% of the AI-TECHNICAL-PRACTITIONER exam. Cisco does not publish an official question count, but from its 60-minute exam (~25–40 total, ~4–6 in this domain), expect 1–2 from this objective — we provide 22 practice questions to prepare you well beyond it. (estimate)

22questions here

5free pages

4concepts

15%of the exam

Questions 6–10

6application · medium
A company uses an AI model for credit scoring. They want to ensure that the model does not inadvertently discriminate against protected groups. Which mitigation strategy is most directly applicable?
Select an answer first
7expert · hard
A social media platform is facing a coordinated disinformation campaign using AI-generated images and text. The platform wants to reduce the spread of this content while also protecting its AI moderation systems from adversarial attacks. Which strategy is most effective?
Select an answer first
8expert · hard
A government agency is deploying an AI system to detect misinformation on social media. The system must be resistant to adversarial attacks that could trick it into missing false content. Which strategy is most effective?
Select an answer first
9expert · hard
A company is deploying an AI system for hiring. The system is trained on historical data that may contain biases. The company also wants to protect the system from adversarial attacks that could manipulate hiring decisions. Which approach best balances fairness and security?
Select an answer first
10foundation · easy
A video is shared online showing a political figure saying something they never said. The video is realistic but was generated by an AI model. What is this type of synthetic content called?
Select an answer first

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3.3 Explain AI-specific Security Threats and Risks, Including Misinformation AI-TECHNICAL-PRACTITIONER Practice Questions (Page 2)

Questions 6–10

A company uses an AI model for credit scoring. They want to ensure that the model does not inadvertently discriminate against protected groups. Which mitigation strategy is most directly applicable?

A social media platform is facing a coordinated disinformation campaign using AI-generated images and text. The platform wants to reduce the spread of this content while also protecting its AI moderation systems from adversarial attacks. Which strategy is most effective?

A government agency is deploying an AI system to detect misinformation on social media. The system must be resistant to adversarial attacks that could trick it into missing false content. Which strategy is most effective?

A company is deploying an AI system for hiring. The system is trained on historical data that may contain biases. The company also wants to protect the system from adversarial attacks that could manipulate hiring decisions. Which approach best balances fairness and security?

A video is shared online showing a political figure saying something they never said. The video is realistic but was generated by an AI model. What is this type of synthetic content called?

Keep studying — Ethics and Security