Managing Artificial Intelligence GSLC Practice Questions (Page 1)

Questions 1–5

1. 1expert · hard

   A company's AI chatbot, which handles customer service, begins generating offensive and inappropriate responses after a routine update. The update included a new language model and a larger training dataset. The incident is ongoing and customers are being exposed to harmful content. Which immediate action should the security team take?

   • AAdd a profanity filter to the chatbot's responses to block offensive language.
   • BRoll back the chatbot to the previous version and take the updated version offline for investigation.
   • CIncrease the chatbot's response confidence threshold to reduce the likelihood of generating unusual responses.
   • DIssue a public apology and explain that the chatbot is still in beta testing.
   Reveal Solution Discussion Select an answer first
2. 2application · medium

   A data science team is preparing a dataset for training a model to predict employee attrition. The dataset includes demographic information such as age, gender, and ethnicity. The team is concerned about potential bias. Which data management practice is most effective in reducing bias?

   • ARemove all demographic attributes from the dataset to ensure the model cannot discriminate.
   • BUse a larger dataset that includes more records, regardless of demographic representation.
   • CAnalyze the dataset for imbalances and underrepresentation across demographic groups, and consider reweighting or resampling techniques.
   • DApply a simple imputation method to fill in missing values for demographic attributes.
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4. 3application · medium

   A healthcare organization is building an AI system to predict patient readmission risk. The data science team has access to historical patient records, but the data contains missing values and the patient population is predominantly from urban areas. The organization wants to ensure the model is fair and reliable. Which action should the security and compliance team prioritize?

   • ARequire a data quality assessment that includes demographic representation and missing-data analysis
   • BUse a more complex algorithm to compensate for missing data
   • CRestrict access to the training data to only the data science team
   • DDeploy the model immediately and monitor for complaints
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5. 4expert · hard

   A company is evaluating a vendor that provides an AI-based threat detection service. The vendor's solution uses a proprietary model that the company cannot inspect. The vendor offers a detailed SLA and compliance certifications. The company's security team is concerned about the lack of transparency. Which contractual provision is most important to include?

   • AA clause that requires the vendor to provide monthly performance reports.
   • BA clause that requires the vendor to share the model's source code with the company.
   • CA clause that holds the vendor liable for all security incidents, regardless of cause.
   • DA right-to-audit clause that allows the company to assess the vendor's security and model governance practices.
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6. 5foundation · easy

   What is the primary difference between artificial intelligence (AI) and machine learning (ML)?

   • AAI is a subset of ML that focuses on neural networks.
   • BML is a subset of AI that enables systems to learn from data without explicit programming.
   • CML is the hardware component that runs AI algorithms.
   • DAI and ML are synonymous terms used interchangeably in the industry.
   Reveal Solution Discussion Select an answer first