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?
A company wants to develop an AI assistant for employees to query internal data.
Which AWS service will meet this requirement?
An AI practitioner is developing a recommendation system. The AI practitioner wants to document a business problem, data assumptions, training considerations, and usage risks. The company must follow guidelines for transparency and governance.
Which Amazon SageMaker AI feature will meet these requirements?
Which feature of Amazon OpenSearch Service gives companies the ability to build vector database applications?
An ecommerce company is developing an AI application that categorizes product images and extracts specifications. The application will use a high-quality labeled dataset to customize a foundation model (FM) to generate accurate responses.
Which ML technique will meet these requirements by using Amazon Bedrock?
A company uses an AI assistant to handle real-time customer queries. The company wants to maximize the number of queries resolved each hour.
Which metric will validate this objective?
A company that streams media is selecting an Amazon Nova foundation model (FM) to process documents and images. The company is comparing Nova Micro and Nova Lite. The company wants to minimize costs.
A company is monitoring a predictive model by using Amazon SageMaker Model Monitor. The company notices data drift beyond a defined threshold. The company wants to mitigate a potentially adverse impact on the predictive model.
A company wants to extract key insights from large policy documents to increase employee efficiency.
A company uses an open-source pre-trained model to analyze user sentiment for a newly released product.
Which action must the company perform, according to MLOps best practices?
