Part 2: AWS Certified Solutions Architect SAA C03 [2025]

Explore how SQS replicates messages across availability zones, compare standard and FIFO queues, and learn how visibility timeout and message groups ensure ordering and fault tolerance.

Explore how AWS SQS FIFO queues preserve message order, handle duplicates with content-based deduplication, and process messages sequentially within each message group id, while enabling concurrency across groups.

Compare SNS and EventBridge to guide when to use each, highlighting event-driven designs, schema registry benefits, and auto discovery, with SNS for high throughput messages.

Learn how Amazon Kinesis ingests, buffers, and processes streaming data in real time, with video streams, firehose, and data analytics enabling very low latency insights and a capabilities pipeline.

Learn how to design and operate Kinesis data streams with shards, partition keys, retention, iterators, resharding, KCL/KPL workflows, throughput scaling, and firehose destinations for reliable real-time processing.

Publish streaming data to a Firehose delivery stream from the CLI and store it in an S3 bucket by publishing single and batch JSON records and verifying in S3.

automate S3 file processing with lambda to parse robocopy log files and convert them to json, using separate source and destination buckets with read/write permissions, CloudWatch logs, and X-Ray tracing.

Explore how AWS X-Ray reveals distributed application performance issues and errors by enabling tracing for the s3 data transformation function in us-east-2 and reviewing traces in CloudWatch ServiceLens.

Integrate API gateway with a Lambda function named Fibonacci to build a serverless web app, enable CORS, test GET and POST methods, and host the web client on S3.

Aurora uses a six-copy storage subsystem with quorum for rapid failover and up to 15 read replicas. It offers serverless compute, MySQL and PostgreSQL compatibility, and scalable, low-cost performance.

DynamoDB uses partitions and replication across availability zones to support eventual and strong consistency. Choose between on-demand and provisioned capacity, with auto scaling, RCUs, WCUs, streams, and DAX.

Explore Amazon Redshift, a petabyte-scale, columnar data warehouse with a leader and compute nodes, enabling scalable analytics, compression, and SQL-based queries, plus Redshift Spectrum for S3 data lake integration.

Deploy a hello world docker container on an EC2 instance, run a Flask app showing the hostname, pull from Docker Hub, and map port 80 to container 5000.

Configure a fargate task definition and cluster for running containers. Run tasks with spot capacity behind an application load balancer on port 5000, using IP addresses.

Learn to run ECS tasks on EC2 or Fargate, with Local Zones, Wavelength, Outposts, and ECS Anywhere, plus monitoring with CloudWatch and IAM roles.

Explore container networking options in ECS: host, bridge, and awsvpc modes, detailing port binding, static vs dynamic mappings, and traffic routing with ELB, Cloud Map, and App Mesh.

Analyze approaches to service communication in microservices: internal load balancers, Cloud Map domain names with DNS updates, and App Mesh with Envoy sidecars, highlighting latency, mTLS security, and trade-offs.

See how CloudFormation treats infrastructure as code, modeling it in a text template to automate, version control, and replicate deployments across regions with rollback and change sets.

Create an S3 bucket using a CloudFormation template and view the bucket name in the outputs. Explore stack creation, tags, region, termination protection, and rollback behavior to protect resources.

Delete a stack in cloud formation removes all resources created by it. In management console, verify bucket removals; logical IDs reference template resources, while physical IDs are the actual IDs.