Which Technology Reduces Code Deployment Time and Cost?

A company wants to reduce the time and expense associated with code deployment. Which of the following technologies should the company utilize?

Serverless architecture Source Reference Answer
Thin clients
Private cloud
Virtual machines

Community Votes

100%

100% of anonymous learners picked answer A. Votes are pick records left by other test-takers — they are not the verified answer.

Community Insight

The question tests understanding of deployment technologies, with the trap being to confuse cloud models (private cloud) or virtualization with the operational benefits of serverless.

Serverless architecture is the correct answer for reducing code deployment time and expense, as it eliminates server management and scales automatically. Community consensus strongly supports option A.

Choosing private cloud or virtual machines, which still require server provisioning, patching, and capacity management, thus not minimizing deployment overhead.

Community Discussion (3 comments)

9149f41 👍 1 Selected: A

AWS Lambda lets you upload code and run functions without managing servers, automatically scaling and charging only for compute time used.

pokii1992 👍 1

Serverless architecture is recommended because it: Eliminates server management tasks Reduces deployment time significantly Lowers costs by only charging for actual code execution Automatically scales based on demand Allows developers to focus solely on writing code Handles infrastructure and scaling automatically

baronvon 👍 2 Selected: A

A. Serverless architecture Serverless architecture allows the company to reduce the time and expense associated with code deployment by handling the underlying infrastructure management automatically. This means the company only needs to focus on the code itself, without worrying about provisioning or managing servers. This approach can also scale automatically with demand, further reducing operational overhead and costs.

Comments & Corrections

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Expert Analysis

Why the Answer Is Correct

Serverless architecture (A) abstracts infrastructure completely. Developers upload code and the platform handles provisioning, scaling, and maintenance, drastically reducing deployment time and cost. It only charges for actual execution time, as noted in comment [2] about AWS Lambda, making it ideal for event-driven and variable workloads.

Why the Other Options Are Wrong

Thin clients (B) are client devices, not deployment technologies, and do not affect code deployment. Private cloud (C) still requires managing servers and infrastructure, even if dedicated to one organization. Virtual machines (D) require OS patches, capacity planning, and provisioning, directly increasing deployment overhead compared to serverless.

Community Comment Notes

Comment [1] explicitly highlights that serverless handles underlying infrastructure automatically, allowing focus solely on code. Comment [2] adds a practical example with AWS Lambda, emphasizing automatic scaling and pay-per-use. Comment [3] lists the same benefits (no server management, lower cost, auto-scaling), reinforcing the consensus. No dissenting comments exist.

Official Reference

Exam Strategy

For exam questions about reducing deployment overhead, remember that serverless is the only option that entirely removes infrastructure management. Look for keywords like 'no server management', 'automatic scaling', and 'pay for execution' to identify serverless answers.

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