Question 205 of 507
ML Model DevelopmenteasyMultiple ChoiceObjective-mapped

Quick Answer

The answer is to create a new endpoint configuration with a second variant and update the endpoint. This approach works because SageMaker endpoints support multiple production variants, allowing you to add a new model version alongside the existing one; when you update the endpoint to point to the new configuration, it gradually shifts traffic from the old variant to the new variant, ensuring zero downtime during the transition. On the AWS Certified Machine Learning Engineer Associate MLA-C01 exam, this scenario tests your understanding of SageMaker’s deployment mechanics and the distinction between updating an endpoint configuration versus directly modifying the model or endpoint itself—a common trap is assuming you can simply change the model name or delete and recreate the endpoint, both of which cause downtime. Remember the memory tip: “Variant shift, never lift”—always use a new configuration with multiple variants to shift traffic, never lift the endpoint offline.

MLA-C01 ML Model Development Practice Question

This MLA-C01 practice question tests your understanding of ml model development. 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.

Exhibit

{
  "EndpointConfigName": "my-config",
  "ProductionVariants": [
    {
      "VariantName": "variant1",
      "ModelName": "my-model-v1",
      "InitialInstanceCount": 1,
      "InstanceType": "ml.c5.large",
      "InitialVariantWeight": 1.0
    }
  ]
}

Refer to the exhibit. The data scientist wants to update the endpoint to use a new model version without downtime. Which approach should they use?

Question 1easymultiple choice
Full question →

Exhibit

{
  "EndpointConfigName": "my-config",
  "ProductionVariants": [
    {
      "VariantName": "variant1",
      "ModelName": "my-model-v1",
      "InitialInstanceCount": 1,
      "InstanceType": "ml.c5.large",
      "InitialVariantWeight": 1.0
    }
  ]
}

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 a second variant and update the endpoint

To update an endpoint without downtime, create a new endpoint configuration that includes both the old and new model variants, then update the endpoint to use that configuration. The endpoint gradually shifts traffic to the new variant. Deleting the endpoint causes downtime, direct model name update is not allowed, and Model Monitor does not handle deployments.

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.

  • Delete the existing endpoint and create a new one

    Why it's wrong here

    This causes downtime during deletion and recreation.

  • Update the endpoint's model name directly

    Why it's wrong here

    Endpoint configurations are immutable; you cannot change the model name in a deployed configuration.

  • Create a new endpoint configuration with a second variant and update the endpoint

    Why this is correct

    This allows a blue/green deployment with zero downtime by shifting traffic gradually or instantly.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Use SageMaker Model Monitor to automatically switch

    Why it's wrong here

    Model Monitor is for monitoring, not for updating endpoints.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.

Detailed technical explanation

How to think about this question

This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.

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.
  • Use explanations to understand the rule behind the answer.

TExam Day Tips

  • Underline the problem statement mentally.
  • 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 MLA-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.

Related practice questions

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Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.

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FAQ

Questions learners often ask

What does this MLA-C01 question test?

ML Model Development — This question tests ML Model Development — 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 a second variant and update the endpoint — To update an endpoint without downtime, create a new endpoint configuration that includes both the old and new model variants, then update the endpoint to use that configuration. The endpoint gradually shifts traffic to the new variant. Deleting the endpoint causes downtime, direct model name update is not allowed, and Model Monitor does not handle deployments.

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

Identify which MLA-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 23, 2026

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This MLA-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 MLA-C01 exam.