Cloud Computing CH 13

AI Services on AWS require Machine Learning experience?

False

Amazon SageMaker Feature Store helps ensure models make accurate predictions by making features available only to training?

False

Amazon SageMaker Savings Plans provide the most flexibility and help to reduce your costs by up to 92%?

False

You can't use Amazon SageMaker Autopilot when you have missing data?

False

Amazon SageMaker Data Wrangler helps you understand your data and identify potential errors and extreme values with a set of robust pre-configured visualization templates?

True

Amazon SageMaker Ground Truth automates labeling by training from data labeled by humans so that the service learns to label data independently?

True

Amazon SageMaker Studio Notebooks are collaborative, flexible, managed Jupyter notebooks within Amazon SageMaker Studio, a fully integrated development environment for Machine Learning?

True

Amazon SageMaker ensures that ML model artifacts and other system artifacts are encrypted in transit and at rest?

True

Jeff Miller is the Mathematical Monk?

True

RStudio on Amazon SageMaker requires a paid RStudio Workbench Standard or Enterprise license. Current RStudio Workbench customers can bring their existing licenses to SageMaker?

True

SageMaker Canvas uses powerful AutoML technology from Amazon SageMaker to automatically create ML models based on your unique use case?

True

SageMaker Neo speeds up inference and saves cost by creating an inference-optimized container in SageMaker hosting?

True

SageMaker Studio Lab accelerates model building through GitHub integration, and it comes preconfigured with the most popular ML tools, frameworks, and libraries to get you started immediately?

True

The SageMaker Edge Agent allows you to capture data and metadata based on triggers that you set so that you can retrain your existing models with real-world data or build new models?

True

Inference Recommender helps you select the best instance type and configuration?

Trure