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Machine Learning Implementation and OperationseasyMultiple ChoiceObjective-mapped

MLS-C01 Practice Question: Machine Learning Implementation and Operations

Exhibit

Refer to the exhibit.

{
  "EndpointConfigName": "my-endpoint-config",
  "ProductionVariants": [
    {
      "VariantName": "variant1",
      "ModelName": "my-model",
      "InitialInstanceCount": 1,
      "InstanceType": "ml.m5.large"
    }
  ]
}

A SageMaker endpoint configuration is shown in the exhibit. The company wants to deploy the model to a real-time endpoint. What is missing from this configuration to successfully create the endpoint?

⚠ Common exam trap

Many candidates confuse the EndpointConfigName (which is present) with the EndpointName, assuming the configuration itself names the endpoint, but AWS requires an explicit separate EndpointName parameter in the CreateEndpoint call.

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

The endpoint name is not specified in the configuration

The endpoint configuration must include an EndpointName parameter to uniquely identify the endpoint within the AWS account and region. Without it, the CreateEndpoint API call fails because the service cannot route traffic or manage the deployment. The exhibit shows a valid EndpointConfigName, but the endpoint itself is not named, which is a required field for real-time inference endpoints.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • The model name is missing

    Why it's wrong here

    ModelName is present.

  • The endpoint name is not specified in the configuration

    Why this is correct

    Endpoint name is provided when creating the endpoint, not in the config.

  • The initial instance count is missing

    Why it's wrong here

    InitialInstanceCount is set to 1.

  • The accelerator type is missing

    Why it's wrong here

    Accelerator type is optional.

  • The data capture configuration is missing

    Why it's wrong here

    Data capture is optional.

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JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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.