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基于AWS的数据科学实践
book

基于AWS的数据科学实践

by Chris Fregly, Antje Barth
September 2022
Intermediate to advanced
549 pages
11h 27m
Chinese
China Electric Power Press Ltd.
Content preview from 基于AWS的数据科学实践
用
AWS
保证数据科学安全
|
517
AppType='JupyterServer',
AppName='default')
12.8.2 SageMaker Studio
的认证
SageMaker Studio
支持两种认证用户的模式:
SSO
和
IAM
。在
SSO
模式下,我们将
联合身份池映射到用户。在
IAM
模式下,
SageMaker Studio
与
AWS IAM
完全集成
并遵循
IAM
用户、角色和策略配置。我们通过运行在
SageMaker
服务账号和拥有
私有信道的平台
VPC
的
SageMaker Studio
认证到我们自己的私有账号和
VPC
,如
图
12-10
所示。
用户账户
用户VPC
私有子网
日志
运行时
特征存储
运行时
私有子网
用户
服务账户
平台
VPC
认证代理
Studio域
图 12-10:SageMaker Studio 跨越用户 VPC 和 SageMaker 平台 VPC 的大致网络架构
12.9
安全运行
SageMaker
任务和模型
我们也可以使用服务级别
IAM
角色为
SageMaker
任务定义权限,以限制
IAM
用户
/
518
|
第
12
章
组
/
角色的权限,这与之前讨论的限制访问
S3
存储桶数据的方式类似。我们可以限
制
SageMaker
任务只能访问特定资源,诸如 ...
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Publisher Resources

ISBN: 9787519869663