Answer-first summary for fast verification
Answer: Increase fleet cellular connectivity to 80%, migrate from FTP to streaming transport, and develop machine learning analysis of metrics.
Option C is the correct answer because it directly addresses the reduction of aggregate reporting time by increasing fleet cellular connectivity to 80%, migrating from FTP to streaming transport, and developing machine learning analysis of metrics. Increasing cellular connectivity ensures that data can be collected in near real-time, reducing the time lag from data collection to analysis. Streaming transport is faster and more efficient than periodic FTP, further improving data freshness. Machine learning can be used for predictive maintenance, which helps in preemptively addressing issues and reducing downtime. Other options (A, B, and D) either do not adequately address the problem or would not significantly impact the reduction of aggregate reporting time.
Author: LeetQuiz Editorial Team
Ultimate access to all questions.
TerramEarth manufactures heavy equipment for the mining and agricultural industries. They collect data from their vehicles to analyze and improve operational efficiency. Currently, data from vehicles is processed and aggregated in a way that results in reports being 3 weeks old. This causes delays in stocking replacement parts and increases vehicle downtime. You analyzed TerramEarth's business requirement to reduce downtime and found that reducing the 3 weeks aggregate reporting time could save significant time. Which modifications to the company's processes should you recommend?
A
Migrate from CSV to binary format, migrate from FTP to SFTP transport, and develop machine learning analysis of metrics.
B
Migrate from FTP to streaming transport, migrate from CSV to binary format, and develop machine learning analysis of metrics.
C
Increase fleet cellular connectivity to 80%, migrate from FTP to streaming transport, and develop machine learning analysis of metrics.
D
Migrate from FTP to SFTP transport, develop machine learning analysis of metrics, and increase dealer local inventory by a fixed factor.
No comments yet.