Flashcards, quizzes, and study tools for Salesforce, AWS, and cloud certifications.
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LLM Fine-Tuning & Model Customization
20 cards · General · advanced
EC2 ASGs, ECS scaling, target tracking, step scaling, warm pools, predictive scaling, and the capacity patterns that handle traffic spikes without overspending.
Bedrock, SageMaker, foundation models, RAG, guardrails, and the AWS AI services you need to know for production and certifications.
REST vs HTTP vs WebSocket APIs, Lambda integrations, authorization patterns, throttling, caching, custom domains, CORS, and the production patterns that keep your APIs reliable.
User Pools, Identity Pools, OAuth flows, JWT tokens, federated identity, Lambda triggers, groups, RBAC, and the patterns that make Cognito work in production.
EC2, Auto Scaling, ELB, Fargate, Lambda, and the compute and scaling patterns for production workloads on AWS.
Key concepts for EC2, S3, Lambda, DynamoDB, IAM, VPC, and other foundational AWS services.
RDS, Aurora, DynamoDB, ElastiCache, Redshift, and the database services that power production workloads on AWS.
Serverless vs node-based, instance sizing, cluster mode, connection pooling, Lambda integration, security, monitoring, and the production patterns that keep your cache reliable.
Event buses, content-based routing, rules and patterns, targets, scheduling, pipes, archive/replay, and the EventBridge patterns that replace custom event infrastructure.
IAM policies, roles, SCPs, cross-account access, encryption, and the security concepts that come up in production and on the AWS exams.
Data Streams vs Firehose, shards and throughput, partition keys, Lambda consumers, enhanced fan-out, batch ingestion, monitoring, and the real-time streaming patterns that handle millions of records per second.
VPCs, subnets, security groups, Route 53, CloudFront, NAT Gateways, and the networking infrastructure that connects everything in AWS.
RDS vs Aurora, instance sizing, storage types, Multi-AZ, Aurora Serverless v2, RDS Proxy, Performance Insights, backups, and the patterns that keep relational databases reliable in production.
S3 storage classes, lifecycle policies, pre-signed URLs, event notifications, replication, and the storage patterns that power production workloads.
Lambda, API Gateway, Step Functions, EventBridge, and the serverless patterns you need for production and the AWS exams.
The ~20 AWS services that matter in production -- compute, data, messaging, security, networking, and IaC. When to use each, when to avoid them, and how they fit together.
SNS topics, fan-out patterns, message filtering, FIFO vs Standard, DLQs, subscription protocols, and how SNS fits with SQS and EventBridge in distributed architectures.
Reserved Instances, Savings Plans, Spot, right-sizing, tagging, budgets, and the cost optimization concepts that keep your AWS bill under control.
Glue, Step Functions, Athena, S3 data lakes, Parquet, partitioning, data quality checks, and the ETL patterns that keep production pipelines running.
RTO, RPO, the four DR strategies, multi-region patterns, game days, and the disaster recovery concepts that keep production systems running when everything goes wrong.
Stream view types, Lambda consumers, partial batch failures, idempotent processing, fan-out, cross-region replication, OpenSearch indexing, and the event-driven patterns that make DynamoDB data flow.
ALB, NLB, health checks, weighted targets, blue-green deployments, Route 53, CloudFront, and the traffic routing patterns that keep production services running.
From triggers to async patterns -- the full Apex toolkit.
Start readingOWD, sharing, profiles, permissions -- the full security model.
Start readingDecorators, events, lifecycle hooks -- everything for LWC.
Start readingLambda, DynamoDB, S3, CDK, IAM -- real AWS patterns.
Start readingTypeScript, CI/CD, databases, observability -- the skills that make code production-ready.
Start readingREST APIs, platform events, named credentials, and integration patterns.
Start readingDNS, WebSockets, authentication, rate limiting -- how the internet actually works.
Start readingAgentforce, Einstein, Trust Layer, Data Cloud -- the AI side of Salesforce.
Start readingFlow Builder, data modeling, SOQL, approval processes, custom metadata, and platform cache.
Start readingMix and match topics, filter by difficulty, study exactly what you need.
