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Machine Learning Implementation and Operations →mediumMultiple ChoiceObjective-mapped

MLS-C01 Practice Question: Machine Learning Implementation and Operations

This MLS-C01 practice question tests your understanding of machine learning implementation and operations. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 company uses SageMaker to host a model for real-time predictions. The model is updated weekly. To minimize downtime during model updates, what should the company do?

Clue words in this question

Noticing these words before you look at the options changes how you read each choice.

Clue: "minimum / minimize"
Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.

A
Create a new endpoint configuration with the new model and update the endpoint to use the new configuration
SageMaker supports blue/green deployment by updating endpoint to new configuration, minimizing downtime.
B
Create a second endpoint with the new model and use an Application Load Balancer to route traffic
Why wrong: This works but is more complex than necessary.
C
Update the existing endpoint configuration with the new model URL
Why wrong: Updating endpoint configuration causes a brief downtime while the endpoint is updated.
D
Delete the existing endpoint and create a new one with the updated model
Why wrong: This causes downtime during deletion and creation.

Full breakdown with real-world context →

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

✓

Create a new endpoint configuration with the new model and update the endpoint to use the new configuration

Option A is correct because SageMaker allows you to create a new endpoint configuration with the updated model and then update the existing endpoint to use this new configuration. This triggers a rolling update where SageMaker gradually shifts traffic from the old model to the new one, ensuring zero downtime during the transition. The endpoint remains available throughout the process, and you can roll back quickly if needed by reverting to the previous configuration.

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.

✓
Create a new endpoint configuration with the new model and update the endpoint to use the new configuration
Why this is correct
SageMaker supports blue/green deployment by updating endpoint to new configuration, minimizing downtime.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Create a second endpoint with the new model and use an Application Load Balancer to route traffic
Why it's wrong here
This works but is more complex than necessary.
✗
Update the existing endpoint configuration with the new model URL
Why it's wrong here
Updating endpoint configuration causes a brief downtime while the endpoint is updated.
✗
Delete the existing endpoint and create a new one with the updated model
Why it's wrong here
This causes downtime during deletion and creation.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often assume that updating the endpoint configuration directly (Option C) is sufficient, but they miss that SageMaker requires a new endpoint configuration object to trigger a safe, rolling update rather than an in-place replacement that can cause downtime.

Detailed technical explanation

How to think about this question

SageMaker implements zero-downtime updates by using endpoint configurations that reference a model and a production variant. When you update an endpoint to a new configuration, SageMaker creates a new variant with the updated model, gradually shifts traffic from the old variant to the new one using a weighted routing strategy, and then deletes the old variant. This process is similar to a blue/green deployment pattern and is controlled by the 'UpdateEndpoint' API, which supports a 'DeploymentConfig' parameter to specify traffic shifting and canary settings.

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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.

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.

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FAQ

Questions learners often ask

What does this MLS-C01 question test?

Machine Learning Implementation and Operations — This question tests Machine Learning Implementation and Operations — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Create a new endpoint configuration with the new model and update the endpoint to use the new configuration — Option A is correct because SageMaker allows you to create a new endpoint configuration with the updated model and then update the existing endpoint to use this new configuration. This triggers a rolling update where SageMaker gradually shifts traffic from the old model to the new one, ensuring zero downtime during the transition. The endpoint remains available throughout the process, and you can roll back quickly if needed by reverting to the previous configuration.

What should I do if I get this MLS-C01 question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

Are there clue words in this question I should notice?

Yes — watch for: "minimum / minimize". Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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This MLS-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the MLS-C01 exam.