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WorksheetsBedrock Immersion Day Quiz
Total questions: 10
Worksheet time: 6mins
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
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
