Gen AI Dev Exam

Gen AI Developer Exam

   Integration approaches: 1) Bedrock integration (unified API), 2) AI Factories integration (on-premises), 3) SageMaker AI integration (self-host), 4) Direct provider API integration (direct API)
  Nova Forge enables building custom frontier models, provides infrastructure and tools to create LLMs from scratch.
  RAG components: 1) Doc processing: Chunks knowledge while maintaining context, 2) Embedding models: Converts text to mathematical vectors, 3) Vector storage: Efficiently stores and searches vectors, 4) Query processing: Matches user questions to relevant content, 5) Response generation: Combines retrieved context with queries
  Nova tiers: Nova 2 Pro for complex tasks, Nova 2 Lite for cost-effective use cases, Nova 2 Sonic for real-time conversations, and Nova 2 Omni for multimodal capabilities.

Data encryption:

  Encryption in transit: Bedrock auto encrypts all data in transit using TLS 1.2+ via HTTPS endpoints, with SigV4 authentication for all API requests. Network traffic between AWS services is protected through Network Path Protection, with optional PrivateLink for private VPC connectivity.

  Encryption at rest: Bedrock auto encrypts all customer data at rest using AWS-owned keys by default, with support for customer-managed Key Management Service (KMS) keys where additional control is required.

Response Benchmarking: 1) Latency measurement, 2) Throughput testing, 3) Geographic performance

IO Token Optimizing: 1) Token counting, 2) Prompt optimization, 3) Response length mgmt

Cost Estimating Methods: 1) Real-time visibility to costs, 2) Usage pattern analysis, 3) Cost monitoring implementation, 4) Scaling cost projections.

Deployment:

   Regional architecture patterns: 1) Active-active deployments, 2) Active-passive failover, 3) Regional data residency