4.2 Define Secure AI and Its Importance in Protecting AI Systems from Malicious Attacks and Misuse. GENERATIVE-AI-LEADER Practice Questions (Page 1)

Questions 1–5

1. 1application · medium

   A company has a gen AI model that is being used to generate financial reports. The security team is concerned about the model being manipulated to produce incorrect or biased outputs. They want to monitor the model's behavior in production to detect such manipulation. Which monitoring approach is most effective?

   • AMonitor the CPU and memory usage of the model's serving infrastructure.
   • BDisable monitoring to avoid alert fatigue.
   • CTrack input and output distributions over time and alert on significant deviations from expected patterns.
   • DReview the model's training data periodically to ensure it is still accurate.
   Reveal Solution Discussion Select an answer first
2. 2foundation · easy

   A data scientist is building a machine learning pipeline. At which stage of the ML lifecycle is the model most directly exposed to the risk of data poisoning, where an attacker injects malicious samples into the training dataset?

   • AModel evaluation
   • BModel monitoring
   • CModel deployment
   • DData collection and preparation
   Reveal Solution Discussion Select an answer first
4. 3foundation · easy

   Which Google Cloud tool is designed to collect and analyze logs from AI workloads to help detect security threats?

   • ACloud Storage
   • BCloud Logging
   • CVertex AI Pipelines
   • DCloud Functions
   Reveal Solution Discussion Select an answer first
5. 4foundation · easy

   What is the role of Google Cloud's secure-by-design infrastructure in supporting AI workloads?

   • AIt replaces the need for identity and access management in AI projects
   • BIt guarantees that AI models are free from adversarial attacks
   • CIt automatically writes secure application code for AI models
   • DIt provides a foundational layer of security that AI services can build upon
   Reveal Solution Discussion Select an answer first
6. 5foundation · easy

   Which Google Cloud infrastructure feature directly supports the secure-by-design approach for AI workloads?

   • AA global network that guarantees zero latency for all users
   • BAutomatic model retraining on a schedule
   • CEncryption of data at rest and in transit by default
   • DBuilt-in natural language processing for log analysis
   Reveal Solution Discussion Select an answer first