A company wants to increase employee productivity by using a generative AI solution to write code to test software applications.Which solution will meet these requirements with the LEAST operational effort?
Answer(s): C
Amazon Q Developer is a managed generative AI service specifically designed to assist developers by automatically generating code, tests, and software-related content with minimal setup and operational overhead.
A company is using an Amazon Bedrock base model to summarize documents for an internal use case. The company trained a custom model to improve the summarization quality.Which action must the company take to use the custom model through Amazon Bedrock?
Answer(s): A
A company deployed a model to production. After 4 months, the model inference quality degraded. The company wants to receive a notification if the model inference quality degrades. The company also wants to ensure that the problem does not happen again.Which solution will meet these requirements?
Answer(s): B
Amazon SageMaker Model Monitor enables continuous monitoring of model inference quality and detects data/model drift in production. Setting up notifications ensures the company is alerted if quality degrades again,allowing timely intervention and retraining as needed.
A company is integrating a model from Amazon Bedrock into the company's application. During development,the company wants to receive an alert if the Amazon Bedrock request usage and response usage exceed a specific threshold.Which solution meets these requirements?
Amazon CloudWatch publishes Amazon Bedrock usage metrics such as input and output token counts. ACloudWatch alarm can monitor these metrics and send a notification when the configured threshold is exceeded, providing automated alerting for unusually high request or response token usage.
A company is using Amazon SageMaker Studio notebooks to build and train ML models. The company stores the data in an Amazon S3 bucket. The company needs to manage the flow of data from Amazon S3 toSageMaker Studio notebooks.Which solution will meet this requirement?
Configuring Amazon SageMaker to use a VPC with an S3 endpoint ensures secure, direct, and managed data flow between Amazon S3 and SageMaker Studio notebooks. This setup avoids public internet exposure and maintains data integrity during transfers. The other options do not provide a solution for managing the data flow in this context.
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