SOA-C02 Hands-On Labs

The AWS Certified SysOps Administrator – Associate (SOA-C02) exam is intended for system administrators in a cloud operations role who have at least 1 year of hands-on experience with deployment, management, networking, and security on AWS.

SOA-C02 is the first AWS exam that includes 2 sections

Objective questions
Hands-on labs

SOA-C02 Exam is for 190 minutes with 51 objective-type questions and 3 Hands-on labs.

Labs are performed in a separate instance with 135 minutes

Labs are pretty easy if you have worked on AWS.

NOTE: Once you complete a section and click next you cannot go back to the section. The same is for the labs. Once a lab is completed, you cannot return back to the lab.

I create this repo as a References for anyone that never worked with AWS or have very little experience on it's

List of Labs:

Schedule AWS Lambda functions using EventBridge
Setup ASG and ALB
Configure WAF Rules
Configure 2 S3 witch default encryption and access logs
Amazon RDS Backup & Restore using AWS Backup

The AWS Certified SysOps Administrator

Related tags

Overview

SOA-C02 Hands-On Labs

Owner

Aiden Pearce

Fantasy Points Prediction and Dream Team Formation

A flexible and extensible framework for gait recognition.

RuleBERT: Teaching Soft Rules to Pre-Trained Language Models

This is the replication package for paper submission: Towards Training Reproducible Deep Learning Models.

Code and real data for the paper "Counterfactual Temporal Point Processes", available at arXiv.

FocusFace: Multi-task Contrastive Learning for Masked Face Recognition

[MedIA2021]MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning

Open source code for Paper "A Co-Interactive Transformer for Joint Slot Filling and Intent Detection"

🧮 Matrix Factorization for Collaborative Filtering is just Solving an Adjoint Latent Dirichlet Allocation Model after All

Continual reinforcement learning baselines: experiment specifications, implementation of existing methods, and common metrics. Easily extensible to new methods.

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

Python Fanduel API (2021) - Lineup Automation

A simple but complete full-attention transformer with a set of promising experimental features from various papers

Code for Learning Manifold Patch-Based Representations of Man-Made Shapes, in ICLR 2021.

ManipulaTHOR, a framework that facilitates visual manipulation of objects using a robotic arm

Collection of NLP model explanations and accompanying analysis tools

PyTorch implementation of ''Background Activation Suppression for Weakly Supervised Object Localization''.

2021 credit card consuming recommendation

[UNMAINTAINED] Automated machine learning for analytics & production

Pytorch implementation of paper "Learning Co-segmentation by Segment Swapping for Retrieval and Discovery"