The answer is to configure provisioned concurrency for the Lambda function. This approach directly addresses cold start latency by pre-initializing a specified number of execution environments, keeping them warm and ready to handle inference requests immediately, which eliminates the initialization overhead for the first invocation. On the AWS Certified Machine Learning Engineer Associate MLA-C01 exam, this question tests your understanding of how to optimize serverless ML inference without significantly increasing costs—a common trap is assuming that increasing memory or switching to a container-based solution is the most cost-effective fix, but provisioned concurrency offers a targeted, pay-per-use solution for predictable traffic patterns. Remember the mnemonic “Prewarm for Predictable Performance” to recall that provisioned concurrency is ideal when you need to reduce cold start latency for ML inference on AWS Lambda without the overhead of larger resource allocations.
MLA-C01 Deployment and Orchestration of ML Workflows Practice Question
This MLA-C01 practice question tests your understanding of deployment and orchestration of ml workflows. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A machine learning engineer is deploying a model using AWS Lambda for inference. The model is a small scikit-learn classifier with a size of 50 MB. The Lambda function is invoked by an API Gateway REST API. The engineer notices that cold starts are causing high latency. Which action would most effectively reduce cold start latency without increasing costs significantly?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Configure provisioned concurrency for the Lambda function.
Option C is correct because provisioned concurrency pre-initializes the Lambda execution environment, keeping it warm and ready to handle requests immediately. This eliminates the cold start overhead for the first request, directly reducing latency without incurring the ongoing costs of a larger memory allocation or the complexity of EFS/container management.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
Store the model in Amazon EFS and load it at runtime.
Why it's wrong here
Loading from EFS adds latency and does not prevent cold starts; it only reduces deployment size.
✗
Increase the Lambda function memory to the maximum of 10,240 MB.
Why it's wrong here
More memory increases cost and may not eliminate cold starts; it only reduces CPU-bound latency.
✓
Configure provisioned concurrency for the Lambda function.
Why this is correct
Provisioned concurrency keeps instances initialized and ready to respond immediately.
Related concept
Read the scenario before looking for a memorised answer.
✗
Package the model in a container image and deploy using Lambda container support.
Why it's wrong here
Container images have similar cold start behavior; larger images may even increase cold start time.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse 'reducing cold start latency' with 'reducing compute time' or 'improving model loading speed', leading them to choose options like increasing memory or using EFS, which do not address the fundamental issue of environment initialization.
Trap categories for this question
Similar concept trap
Container images have similar cold start behavior; larger images may even increase cold start time.
Detailed technical explanation
How to think about this question
Provisioned concurrency works by keeping a specified number of execution environments initialized and ready to serve requests, bypassing the cold start phase entirely. Under the hood, AWS Lambda pre-warms these environments by running the initialization code (including model loading) and then holding them in a 'ready' state, so the first request experiences no delay from environment setup. In real-world scenarios, this is critical for latency-sensitive APIs where even a 1-second cold start can cause timeouts or poor user experience.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Deployment and Orchestration of ML Workflows — This question tests Deployment and Orchestration of ML Workflows — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Configure provisioned concurrency for the Lambda function. — Option C is correct because provisioned concurrency pre-initializes the Lambda execution environment, keeping it warm and ready to handle requests immediately. This eliminates the cold start overhead for the first request, directly reducing latency without incurring the ongoing costs of a larger memory allocation or the complexity of EFS/container management.
What should I do if I get this MLA-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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