使用Boto3在SageMaker中创建模型时，如何指定证书授权

Question

我们尝试根据私人文物保存的图像在SageMaker中使用BOTO3创建模型。我们找到了一种设置基本凭证词的方式“ nofollow noreferrer”> https://docs.amazonaws.cn/en_us/sagemaker/sagemaker/latest/dg/your-algorithms-containers-containers-inference-inference-private.html ，但我无法找到通过证书授权的解决方案。

我们用来创建模型的代码是

import boto3

client = boto3.client('sagemaker')

response = client.create_model(
    ModelName='model-name',
    PrimaryContainer={
        'Image': 'local-repo.my_artifactory_endpoint/train:latest',
        'ImageConfig': {
            'RepositoryAccessMode': 'Vpc',
            
        },
        'Environment': {
            'SAGEMAKER_PROGRAM': 'train.py',
            "SAGEMAKER_SUBMIT_DIRECTORY": "/opt/ml/model/code",
            "SAGEMAKER_CONTAINER_LOG_LEVEL": "20",
            "SAGEMAKER_REGION": <my-region>,
            "MMS_DEFAULT_RESPONSE_TIMEOUT": "500"
        }
    },
    ExecutionRoleArn=<my-role>,
    VpcConfig={
        'SecurityGroupIds': [
            ...
        ],
        'Subnets': [
            ...
        ]
    },
    EnableNetworkIsolation=False
)

在此之后的，当我们尝试基于该模型创建端点时，我们以错误的方式结束了：

Attempt to pull model image local-repo.my_artifactory_endpoint/train:latest failed due to error constructing client to call registry: constructing authentication challenge manager: Get "https://local-repo.my_artifactory_endpoint/v2/": x509: certificate signed by unknown authority.

我们找不到传递此证书或忽略SSL选项的方法。