Discover how distributed computing enhances scalability and processing speed for big data storage and analysis in computer vision for developers, ensuring efficient and robust performance.
Table of Contents
Question
How does using distributed computing affect storing and processing big data in computer vision?
A. It simplifies the user interface for managing computer vision applications that handle big data.
B. It improves scalability and processing speed when handling and storing large volumes of data.
C. It reduces the need for data storage by compressing large images before processing.
D. It eliminates the need for data privacy measures in big data applications.
Answer
B. It improves scalability and processing speed when handling and storing large volumes of data.
Explanation
Computer Vision for Developers skill assessment practice question and answer (Q&A) dump including multiple choice questions (MCQ) and objective type questions, with detail explanation and reference available free, helpful to pass the Computer Vision for Developers exam and earn Computer Vision for Developers certification.
Using distributed computing in computer vision applications significantly improves scalability and processing speed when handling and storing large volumes of data. Distributed computing divides complex data processing tasks—such as analyzing high-resolution images or processing video streams—across multiple interconnected nodes, enabling parallel execution. This not only reduces overall processing time but also allows the system to efficiently scale as data volumes continue to grow.
By leveraging distributed architectures, large datasets are stored across various nodes, thereby enhancing fault tolerance, availability, and efficient resource utilization. This is crucial in computer vision tasks where massive data is generated and real-time processing is often required. Options mentioning improvements to user interfaces, data compression methods, or a reduction in data privacy measures do not address the core advantages that distributed computing provides in terms of system scalability and speed.
In summary, distributed computing plays a vital role in computer vision by ensuring that large-scale data processing is both rapid and scalable, making it an essential strategy in managing the vast amounts of data typical of modern computer vision applications.
Computer Vision for Developers skill assessment practice question and answer (Q&A) dump including multiple choice questions (MCQ) and objective type questions, with detail explanation and reference available free, helpful to pass the Computer Vision for Developers exam and earn Computer Vision for Developers certification.