CPMAI practice questions 111–120

1. Question 111 · 192 in bank

   A project team is trying to determine the most suitable environment to operationalize their AI/machine learning (ML) solution. They need to consider various factors to help ensure a successful implementation. What should the project manager do?

   • AAnalyze the solution’s compliance requirements.
   • BConsider the cost of implementation.
   • CEvaluate the system’s scalability options.
   • DIdentify the end users and their interactions.

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   Answer: D

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2. Question 112 · 192 in bank

   An energy technology company is in the data preparation phase of developing an AI model to predict equipment maintenance needs. The project manager is deciding how to handle data from multiple formats. What is an effective technique the project manager should use?

   • AData consolidation
   • BCross-validation
   • CSchema mapping
   • DData warehousing

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   Answer: C

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3. Question 113 · 192 in bank

   A logistics company is operationalizing an AI solution to optimize delivery routes. The project manager needs to gather up-to-date information on traffic patterns, delivery schedules, and vehicle performance. Which method will integrate these diverse data types?

   • AImplementing a real-time data processing framework
   • BAdopting a federated data model
   • CUsing an extraction, transformation, and loading (ETL) pipeline
   • DBuilding a unified data warehouse

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   Answer: A

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4. Question 114 · 192 in bank

   Select 2

   A government project plans to implement an AI-based fraud detection system and the project team needs to define the success criteria. They identified potential improvements in detection accuracy, reduction in investigation time, and cost savings as key performance indicators (KPIs). However, they are unsure how to effectively quantify these KPIs. Which two approaches should be used? (Choose two.)

   • AEstablish a baseline using historical data comparisons.
   • BUse random benchmarks without industry comparison.
   • CImplement a continuous performance monitoring system.
   • DSet fixed performance targets based on theoretical models.
   • ERely on only qualitative feedback from stakeholders.

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   Answer: AC

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5. Question 115 · 192 in bank

   A project manager is tasked with overseeing the implementation of an AI model for financial forecasting. They need to ensure the model’s predictions are reliable. If the model’s error rate exceeds acceptable boundaries, what will occur next?

   • AIncreased stakeholder confidence that the project team will correct
   • BOperationalization delays due to model retraining
   • CHigher than expected computational costs
   • DReduced need for human oversight since additional AI models will be used

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   Answer: B

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6. Question 116 · 192 in bank

   A project team is tasked with developing an AI system to optimize workflow efficiency by automating both cognitive and noncognitive tasks. The AI system will handle various tasks including data analysis and decision-making to routine administrative functions. The AI system needs to be integrated with the existing enterprise software and meet international regulations. The team needs to manage data from multiple sources with different formats and standards. The AI system needs to evolve as business processes and technologies change. How would the results for the system be different if cognitive and noncognitive tasks are not separated?

   • AThere would be inefficiencies in handling repetitive task processes.
   • BComplex algorithms would be applied to simple tasks.
   • CThe AI system would have slower processing times.
   • DCognitive tasks could underperform due to overloading.

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   Answer: B

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7. Question 117 · 192 in bank

   A government agency plans to implement a new AI-driven solution for automating risk analysis. The project team needs to ensure that all stakeholders accept the solution and the project scope is well-defined. They must identify whether the AI approach is the best solution compared to traditional methods. Which method meets this objective?

   • AUtilizing a hybrid approach combining cognitive and noncognitive parts to satisfy all parties
   • BPerforming a comprehensive AI go/no-go assessment focusing on technology and data factors
   • CDeveloping a prototype using generative adversarial networks (GANs)
   • DConducting a detailed analysis to evaluate other potential AI solutions

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   Answer: B

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8. Question 118 · 192 in bank

   Select 2

   During the planning phase, a project manager identifies multiple patterns for their AI project. Which two actions should the project manager do? (Choose two.)

   • ASplit the project into iterations for different patterns.
   • BFocus on noncognitive parts before addressing cognitive patterns.
   • CCombine all patterns into a single comprehensive iteration.
   • DSelect patterns based on stakeholder preference.
   • EProceed with the most complex pattern to challenge the team.

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   Answer: AB

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9. Question 119 · 192 in bank

   During the initial phase of an AI project, the team is assessing project success criteria. The project manager discovers that the project may be violating some compliance rules. What problem describes the issue the project team is facing?

   • AInadequate separation of cognitive and noncognitive software
   • BFailure to identify applicable data regulations early on
   • CLack of clarity on the project’s business objective
   • DAbsence of a clear AI go/no-go assessment

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   Answer: B

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10. Question 120 · 192 in bank

    Select 2

    A government agency is developing an AI system to predict infrastructure failures. The data team needs to ensure that the dataset includes historical maintenance records, environmental data, and equipment usage logs. However, they are encountering issues with data from multiple sources being in different formats. Which two methods should be applied to meet the data team’s objectives? (Choose two.)

    • AUtilizing a multiformat data integration tool
    • BApplying a diversified data ingestion model
    • CImplementing a data normalization process
    • DDepending only on manual entry for format standardization
    • EAdopting a hybrid data preparation pipeline

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    Answer: AC

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CPMAI practice, question 111. 192 questions available.