Bedrock Immersion Day Quiz

What type of knowledge bases can be created with AWS Bedrock?

• Unstructured data knowledge bases

• Structured data knowledge bases

• Both unstructured and structured data knowledge bases

• 1. Neither unstructured nor structured data knowledge bases

What data sources can be ingested into a Bedrock knowledge base?

• PDFs, Word documents

• Excel Files

• CSV files

• All of the above

How are knowledge bases queried in Bedrock?

• Using SQL statements

• Using SPARQL queries

• Using natural language queries

• Using graph traversal APIs

Which AWS services are not supported as vector databases by Knowledge Bases for Amazon Bedrock?

• Amazon OpenSearch Serverless

• Pinecone

• Redis Enterprise Cloud

• Amazon Neptune

Select all the API's offered by Bedrock Agents to fetch results from Knowledge Bases ? (Multi Select)

• Retrieve API

• RetrieveAndGenerate API

• Receive API

• ReceiveAndGenerate API

Which is not a type of learning in machine learning ?

• Supervised Learning

• Unsupervised Learning

• ReInforcement Learning

• Collective Learning

What are the Common approaches for customising foundation models (FMs) ? (Muti-choice Question)

• Prompt

  Engineering

• Retrieval

  Augmented

  Generation

• Fine-tuning

• Re-training

RAG is an acronym of ?

• Retrieval Augmented Generation

• Retrive and Generate

• Receive and Generate

• Review and Generate

What is an Vector Embedding ?

• Vector embeddings are a way to convert words and sentences into numbers

• Vector embedding are a way to convert words and sentences into natural language

• Vector embedding are a way to convert words and sentences into simple language

• Vector embedding are a way to convert words and sentences into structural language

Which model can be used to generate embeddings ? (Multi-Select)

• Titan Embeddings G1 - Text

• Titan Multimodal Embeddings G1

• Cohere Embed English

• Anthropic Embed