Practice Quiz

AWS Bedrock is a fully managed service that offers key foundation models from top AI companies and Amazon through a single API.

Amazon Q is a fully managed, generative AI-powered assistant that can be customized to answer questions, write code, and solve problems based on business data.

Option a is correct because Amazon Bedrock is defined as a fully managed service providing secure, enterprise-grade access to high-performing foundation models from leading AI companies for building and scaling generative AI applications. Option b is incorrect because Bedrock is a fully managed cloud service, not an unmanaged physical server leasing service. Option c is incorrect because Bedrock is not a database storage engine for archiving logs. Option d is incorrect because Bedrock is a managed cloud service, not a local desktop application.

Option b is correct because, according to the provided text, Amazon Bedrock is a fully managed service that provides secure, enterprise-grade access to high-performing foundation models from leading AI companies, enabling users to build and scale generative AI applications. Options a, c, and d are incorrect because they describe functionalities that are completely different from the defined purpose of Amazon Bedrock in the text.

Option a is correct because Amazon Bedrock supports over 100 foundation models from industry-leading providers, which include Amazon, Anthropic, DeepSeek, Moonshot AI, MiniMax, and OpenAI. Options b, c, and d are incorrect because they contradict the list of supported providers or make unsupported exclusivity claims.

The Random Cut Forest (RCF) algorithm in Amazon SageMaker AI is an unsupervised algorithm designed to detect anomalous data points that diverge from structured or patterned data. DeepAR is a supervised forecasting algorithm, BlazingText is for word embeddings and text classification, and SageMaker JumpStart provides pre-built solution templates rather than a specific anomaly detection algorithm.

To satisfy the requirements, the security team needs Amazon SageMaker's Random Cut Forest (RCF) algorithm, which is specifically designed to detect anomalous data points that diverge from otherwise well-structured or patterned data. They also need IP Insights, which is an unsupervised algorithm that learns usage patterns for IPv4 addresses to capture associations between IP addresses and specific entities like user IDs. Therefore, RCF and IP Insights is the correct combination.

Amazon SageMaker's Principal Component Analysis (PCA) is an unsupervised algorithm that reduces the dimensionality (number of features) within a dataset by projecting data points onto the first few principal components to retain maximum information. In contrast, K-Means is an unsupervised clustering algorithm that finds discrete groupings within data such that members of a group are as similar as possible to one another. Thus, option A is correct.