An aerospace company is developing an AI tool for anomaly detection in aircraft engines.
Identifying data sources and their locations is critical. Which method will help to ensure the project meets these objectives?
A. Establishing a metadata management system
B. Implementing a continuous data integration process
C. Using AI to automate data tagging
D. Adopting a data life cycle management tool
正解:A
解説: (Pass4Test メンバーにのみ表示されます)
質問 2:
A project manager is considering the feasibility of an AI solution for a project aimed at improving customer service response times. They need to decide whether the project requirements can be solved with existing technologies or whether AI is the best approach. Which principle do the project manager's activities represent?
A. Identifying ethical concerns
B. Determining automation potential
C. Evaluating cognitive alternatives
D. Assessing scalability requirements
正解:C
解説: (Pass4Test メンバーにのみ表示されます)
質問 3:
An aerospace company's project team is evaluating data quality before preparing data for AI models to predict maintenance needs. They are facing challenges with streaming data. If the project team were dealing with batch data, how would the result be different?
A. Batch data has more complex data conflicts.
B. Batch data requires a higher need for data augmentation.
C. Batch data is easier to manage the data inflow.
D. Batch data has greater inconsistency in the data.
正解:C
解説: (Pass4Test メンバーにのみ表示されます)
質問 4:
A project team needs to determine whether to proceed with an AI/machine learning (ML) project by examining various factors. Which factor should be evaluated by the project manager first?
A. Model algorithm selection
B. Business objective alignment
C. Data preprocessing techniques
D. Hyperparameter optimization
正解:B
解説: (Pass4Test メンバーにのみ表示されます)
質問 5:
A manufacturing firm is planning to implement a network of intelligent machines to increase efficiency on the assembly line. The machines are equipped with advanced AI capabilities including precision assembly, quality control for predictive maintenance, and real-time data analysis. The intelligent machines should enhance operational efficiency, reduce downtime, and improve product quality. There needs to be seamless communication between the machines and existing systems, compliance with industry regulations, and a managed transition for the workforce. What is a beneficial outcome of using intelligent machines in this environment?
A. Increased vulnerability to cybersecurity threats
B. Scalability and flexibility in production
C. Over-reliance on technology leading to skill degradation
D. Higher investment costs without immediate returns
正解:B
解説: (Pass4Test メンバーにのみ表示されます)
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美忧 -
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この問題集は大変有効です!