CPMAI practice questions 151–160

1. Question 151 · 192 in bank

   A project lead is trying to work on a supervised learning binary classification problem to determine if emails are spam or not. They are working with an inexperienced team and this is their first AI project. What is an effective approach the project lead should use?

   • ASelecting a simple algorithm such as a Gaussian mixture model
   • BSelecting a known neural network algorithm that works well for supervised learning approaches
   • CSelecting an ensemble method if uncertain as to which algorithm provides the best performance
   • DSelecting a simple algorithm such as Naive Bayes

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   Answer: D

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2. Question 152 · 192 in bank

   A company is using an AI model to screen job applications. Over time, the project team notices that the model disproportionately rejects applications from certain educational institutions. What is the first step the project manager should take?

   • ARetrain the model with equal representation from all institutions.
   • BAdjust the model’s decision threshold for applications from these institutions.
   • CIncorporate a fairness constraint into the model’s objective function.
   • DAnalyze the historical data for inherent biases against these institutions.

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   Answer: D

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3. Question 153 · 192 in bank

   A hospital system has been using a chatbot and has received complaints from end users. The end users believe they are speaking to a person but are frustrated when answers do not make sense. To help ensure end users know that they are engaging with an AI chatbot, what should be considered to support transparency?

   • AUse of interpretable AI models
   • BDisclosure notice with each use
   • COperationalize advanced algorithms
   • DInclusion of diverse data sets

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   Answer: B

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4. Question 154 · 192 in bank

   A financial services firm is integrating AI to enhance fraud detection. To oversee data evaluation, the project manager needs to ensure the integrity and accuracy of input data, including transaction histories and customer profiles. Which method provides the results that address the requirements?

   • AImplementing alternative approaches to process data differently
   • BApplying a visualization generator to create data flow diagrams
   • CUtilizing a prompt pattern to guide the AI model’s training process
   • DUsing a fact checklist to systematically verify data sources

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   Answer: D

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5. Question 155 · 192 in bank

   A government agency is implementing an AI-powered tool to enhance data security through anomaly detection. The project manager is assembling the team. To identify the subject matter experts (SMEs) who can provide the best insights and contributions to this project, the project manager needs to consider their experience and expertise in various technical domains. Which method will help identify the qualified data SMEs?

   • AEvaluating expertise with existing data architectures and their ability to optimize databases
   • BConducting interviews to assess their knowledge in anomaly detection
   • CAssessing proficiency in developing generative adversarial networks (GANs) and experience in successfully generating synthetic data
   • DExamining their expertise in neural network calibration and hyperparameter tuning

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   Answer: B

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6. Question 156 · 192 in bank

   A company is evaluating whether to implement AI for a project. They have defined their business objectives and determined the AI capability they want to use. Which action will enable the project manager to move forward with the project?

   • AImplementing a preliminary version of the AI solution
   • BIdentifying the contingency procedures
   • CConducting a go/no-go assessment
   • DConducting a data quality assessment

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   Answer: C

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7. Question 157 · 192 in bank

   An IT services company is developing an AI system to automate network security monitoring. The project manager needs to consider various factors to mitigate risks associated with false positives and false negatives. Which action should the project manager implement?

   • AEstablishing a continuous feedback loop with security
   • BConducting model combinations and trade offs
   • CImplementing a robust data security validation process
   • DOperationalizing the nearest neighbor detection algorithms

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   Answer: A

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8. Question 158 · 192 in bank

   An organization’s leadership team is concerned about the ethical implications of operationalizing their AI model. How should the project manager address these concerns in their presentation to the team?

   • ADiscuss the implementation of differential privacy and the algorithms used to protect data.
   • BExplain how the AI model complies with general data protection regulation (GDPR) and other regulations.
   • CDemonstrate the use of bias detection tools to ensure fairness
   • DHighlight the model’s high performance metrics and low error rates.

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   Answer: C

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9. Question 159 · 192 in bank

   A logistics company wants to optimize its delivery routes while adapting to real-time traffic conditions. Which AI pattern or patterns meets these goals?

   • AAutomation and rule-based systems
   • BConversational
   • CPredictive analytics
   • DRecognition and content summarization

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   Answer: C

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10. Question 160 · 192 in bank

    A project team is working on an AI initiative that requires ensuring the explainability and transparency of their selected algorithms. They have identified the business requirements and stakeholders. What is an effective way to address the project objectives?

    • AImplementing a chain-of-thought prompting technique
    • BAdopting a principle of least privilege for data access
    • CUsing a rule-based approach to maintain simplicity
    • DLeveraging generative AI for advanced data analysis

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    Answer: C

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CPMAI practice, question 151. 192 questions available.