Generative AI Leader · Free Practice Question Medium
Question 14
A global logistics company plans to deploy a generative AI solution to optimize its supply chain operations. The solution will need to handle massive, fluctuating volumes of data and requests from around the world, requiring consistent uptime and performance.
Which characteristic of Google Cloud's enterprise-ready AI platform is most critical for meeting these demands?
-
A
Its user-friendly low-code development interface.
-
B
Its extensive library of open-source models.
-
C
Its focus on responsible AI principles.
-
D
Its scalability and reliability.
Reveal correct answer
Correct answer: D
Explanation
Scalability to handle fluctuating global workloads and reliability for consistent uptime are key enterprise-ready features for a logistics company's AI solution.
INCORRECT: Its extensive library of open-source models.
While model choice is important, the ability to handle the operational load is paramount here.INCORRECT: Its focus on responsible AI principles.
Responsible AI is crucial, but the immediate operational need described is for scale and uptime.CORRECT: Its scalability and reliability.
For a global logistics company with massive and fluctuating data volumes, the AI platform must be able to scale resources up or down as needed (scalability) and provide consistent, dependable performance with high availability (reliability). Google Cloud's infrastructure is designed for this.INCORRECT: Its user-friendly low-code development interface.
Ease of development is a benefit, but for a deployed global solution, operational characteristics like scalability and reliability are more critical.
Discussion
Think the marked answer is wrong, or have a better explanation? Share it below — comments appear after review.
