As more businesses use the cloud for their software and tasks, there’s a growing need for experts who can plan, set up, and oversee cloud solutions. One of the most sought-after cloud certifications is the AWS Solutions Architect Associate certification. It proves that you have the knowledge and abilities to create and put in place big, reliable, and resilient systems on AWS. In this online course, you will learn everything you need to know to prepare for and pass the AWS Solutions Architect Associate certification exam.
The course will also cover networking services, including VPC, Route 53, Direct Connect, and Global Accelerator, as well as security and identity services such as IAM, Organizations, KMS, and Certificate Manager. You will also learn about application integration services such as SQS, SNS, SWF, and AppSync, and deployment and management services such as CloudFormation, Elastic Beanstalk, EC2 Systems Manager, and OpsWorks.
In addition to the technical content, the course will also cover the AWS Well-Architected Framework, including design principles and the Well-Architected Tool. You will also get tips for preparing for the certification exam, exam format and structure, and sample practice questions.
By the end of the course, you will have the knowledge and skills needed to design and deploy scalable, highly available, and fault-tolerant systems on AWS, and be well-prepared to pass the AWS Solutions Architect Associate certification exam.
About the AWS Certified Solutions Architect Associate
The AWS Certified Solutions Architect Associate examination is designed for aspirants who want to become a solutions architect with a globally recognized certificate to accelerate their Career and efficiency. Also, you must have one or more years of experience in designing the system required in the AWS platform. Saying so, this certificate is beneficial as it highlights the key skills of a Solution Architect in the industry that will boost their Salaries and Growth.
Recommended Knowledge and Prerequisites
Following are the essentials that every candidate should know before appearing for the exam:
- Firstly, you must have experience in cloud computing, networking, deployment, and management services.
- Secondly, you must possess a basic understanding of Architectural skills, techniques, problems, etc.
- Last but not the least, you should master the ability to identify and understand technical requirements, global infrastructure, and networking web of AWS.
Course Outline
To begin with, it’s crucial to know the syllabus and highlight the important aspects of it. It can save a lot of time while preparing for the exam. During the study sessions, it’s better to have all your resources in your sight. The syllabus can also be a great guide due to the contents included in it. The official course outlined is the first resource that every candidate can trust. Now let’s review the different domains covered by this certification exam.
New AWS Certified Solutions Architect – Associate (SAA-C03) Exam Course Outline
Domain 1: Design Secure Architectures
Task Statement 1: Design secure access to AWS resources.
Knowledge of:
- Access controls and management across multiple accounts (AWS Documentation: Delegate access across AWS)
- AWS federated access and identity services (for example, AWS Identity and Access Management [IAM], AWS Single Sign-On [AWS SSO]) (AWS Documentation: Identity providers and federation)
- AWS global infrastructure (for example, Availability Zones, AWS Regions) (AWS Documentation: Regions, Availability Zones, and Local Zones)
- AWS security best practices (for example, the principle of least privilege) (AWS Documentation: Security best practices in IAM)
- The AWS shared responsibility model (AWS Documentation: Shared responsibility model)
Skills in:
- Applying AWS security best practices to IAM users and root users (for example, multi-factor authentication [MFA]) (AWS Documentation: Best practices to protect your account’s root user)
- Designing a flexible authorization model that includes IAM users, groups, roles, and policies (AWS Documentation: IAM Identities (users, user groups, and roles))
- Designing a role-based access control strategy (for example, AWS Security Token Service [AWS STS], role switching, cross-account access) (AWS Documentation: Define permissions to access AWS resources , Delegate access across AWS)
- Designing a security strategy for multiple AWS accounts (for example, AWS Control Tower, service control policies [SCPs])
- Determining the appropriate use of resource policies for AWS services (AWS Documentation: Identity-based policies and resource-based policies)
- Determining when to federate a directory service with IAM roles
Task Statement 2: Design secure workloads and applications.
Knowledge of:
- Application configuration and credentials security (AWS Documentation: Configuration and credential file settings)
- AWS service endpoints (AWS Documentation: Service endpoints and quotas)
- Control ports, protocols, and network traffic on AWS (AWS Documentation: Control traffic to subnets using Network ACLs)
- Secure application access
- Security services with appropriate use cases (for example, Amazon Cognito, Amazon GuardDuty, Amazon Macie) (AWS Documentation: Amazon Macie, Amazon GuardDuty, Cognito)
- Threat vectors external to AWS (for example, DDoS, SQL injection) (AWS Documentation: AWS Shield)
Skills in:
- Designing VPC architectures with security components (for example, security groups, route tables, network ACLs, NAT gateways) (AWS Documentation: VPC with public and private subnets (NAT))
- Determining network segmentation strategies (for example, using public subnets and private subnets) (AWS Documentation: VPC with public and private subnets (NAT))
- Integrating AWS services to secure applications (for example, AWS Shield, AWS WAF, AWS SSO, AWS Secrets Manager) (AWS Documentation: AWS Shield Advanced, Authenticating requests)
- Securing external network connections to and from the AWS Cloud (for example, VPN, AWS Direct Connect) (AWS Documentation: AWS Virtual Private Network, AWS Direct Connect)
Task Statement 3: Determine appropriate data security controls.
Knowledge of:
- Data access and governance (AWS Documentation: Management and Governance)
- Data recovery (AWS Documentation: Elastic Disaster Recovery)
- Data retention and classification (AWS Documentation: Data Classification)
- Encryption and appropriate key management (AWS Documentation: AWS Key Management Service)
Skills in:
- Aligning AWS technologies to meet compliance requirements (AWS Documentation: Security and compliance)
- Encrypting data at rest (for example, AWS Key Management Service [AWS KMS]) (AWS Documentation: AWS KMS concepts)
- Encrypting data in transit (for example, AWS Certificate Manager [ACM] using TLS) (AWS Documentation: Using SSL/TLS to encrypt a connection to a DB instance)
- Implementing access policies for encryption keys
- Implementing data backups and replications (AWS Documentation: Replicating automated backups to another AWS Region)
- Implementing policies for data access, lifecycle, and protection
- Rotating encryption keys and renewing certificates (AWS Documentation: Rotating your SSL/TLS certificate)
Domain 2: Design Resilient Architectures
Task Statement 1: Design scalable and loosely coupled architectures.
Knowledge of:
- API creation and management (for example, Amazon API Gateway, REST API) (AWS Documentation: Amazon API Gateway)
- AWS managed services with appropriate use cases (for example, AWS Transfer Family, Amazon Simple Queue Service [Amazon SQS], Secrets Manager) (AWS Documentation: AWS Secrets Manager, AWS Transfer Family (AMS SSPS))
- Caching strategies Caching strategies)
- Design principles for microservices (for example, stateless workloads compared with stateful workloads)
- Event-driven architectures (AWS Documentation: Event-driven architectures)
- Horizontal scaling and vertical scaling
- How to appropriately use edge accelerators (for example, content delivery network [CDN]) (AWS Documentation: Content Delivery Networks (CDNs))
- How to migrate applications into containers (AWS Documentation: Migrate your Applications to Containers at Scale)
- Load balancing concepts (for example, Application Load Balancer) (AWS Documentation: Application Load Balancer)
- Multi-tier architectures (AWS Documentation: multi-tier application)
- Queuing and messaging concepts (for example, publish/subscribe) (AWS Documentation: Pub/Sub Messaging)
- Serverless technologies and patterns (for example, AWS Fargate, AWS Lambda) (AWS Documentation: serverless saga pattern by using AWS Step Functions)
- Storage types with associated characteristics (for example, object, file, block)
- The orchestration of containers (for example, Amazon Elastic Container Service [Amazon ECS], Amazon Elastic Kubernetes Service [Amazon EKS]) (AWS Documentation: Orchestrating the containers)
- When to use read replicas
- Workflow orchestration (for example, AWS Step Functions) (AWS Documentation: AWS Step Functions)
Skills in:
- Designing event-driven, microservice, and/or multi-tier architectures based on requirements (AWS Documentation: Event-Driven Architecture)
- Determining scaling strategies for components used in an architecture design
- Determining the AWS services required to achieve loose coupling based on requirements (AWS Documentation: Loosely Coupled Scenarios)
- Determining when to use containers (AWS Documentation: Determining task size)
- Determining when to use serverless technologies and patterns
- Recommending appropriate compute, storage, networking, and database technologies based on requirements
- Using purpose-built AWS services for workloads (AWS Documentation: Database)
Task Statement 2: Design highly available and/or fault-tolerant architectures.
Knowledge of:
- AWS global infrastructure (for example, Availability Zones, AWS Regions, Amazon Route 53) (AWS Documentation: AWS Global Infrastructure, Regions and Availability Zones)
- AWS managed services with appropriate use cases (for example, Amazon Comprehend, and Amazon Polly) (AWS Documentation: Machine Learning (ML))
- Basic networking concepts (for example, route tables) (AWS Documentation: Configure route tables)
- Disaster recovery (DR) strategies (for example, backup and restore, pilot light, warm standby, active-active failover, recovery point objective [RPO], recovery time objective [RTO]) (AWS Documentation: Plan for Disaster Recovery (DR))
- Distributed design patterns (AWS Documentation: Design Interactions in a Distributed System to Prevent Failures)
- Failover strategies (AWS Documentation: Active-active and active-passive failover)
- Immutable infrastructure (AWS Documentation: Use immutable infrastructure with no human access)
- Load balancing concepts (for example, Application Load Balancer) (AWS Documentation: Application Load Balancer)
- Proxy concepts (for example, Amazon RDS Proxy) (AWS Documentation: Using Amazon RDS Proxy)
- Service quotas and throttling (for example, how to configure the service quotas for a workload in a standby environment) (AWS Documentation: AWS service quotas)
- Storage options and characteristics (for example, durability, replication) (AWS Documentation: Replicating objects)
- Workload visibility (for example, AWS X-Ray) (AWS Documentation: AWS X-Ray)
Skills in:
- Determining automation strategies to ensure infrastructure integrity (AWS Documentation: Protecting Compute)
- Determining the AWS services required to provide a highly available and/or fault-tolerant architecture across AWS Regions or Availability Zones (AWS Documentation: Architecture guidelines and decisions)
- Identifying metrics based on business requirements to deliver a highly available solution
- Implementing designs to mitigate single points of failure (AWS Documentation: Withstand Component Failures)
- Implementing strategies to ensure the durability and availability of data (for example, backups)
- Selecting an appropriate DR strategy to meet business requirements (AWS Documentation: Plan for Disaster Recovery (DR))
- Using AWS services that improve the reliability of legacy applications and applications not built for the cloud (for example, when application changes are not possible)
- Using purpose-built AWS services for workloads (AWS Documentation: Database)
Domain 3: Design High-Performing Architectures
Task Statement 1: Determine high-performing and/or scalable storage solutions.
Knowledge of:
- Hybrid storage solutions to meet business requirements (AWS Documentation: Hybrid Cloud Storage)
- Storage services with appropriate use cases (for example, Amazon S3, Amazon Elastic File System [Amazon EFS], Amazon Elastic Block Store [Amazon EBS]) (AWS Documentation: Storage)
- Storage types with associated characteristics (for example, object, file, block)
Skills in:
- Determining storage services and configurations that meet performance demands (AWS Documentation: Storage Architecture Selection)
- Determining storage services that can scale to accommodate future needs (AWS Documentation: Storage)
Task Statement 2: Design high-performing and elastic compute solutions.
Knowledge of:
- AWS compute services with appropriate use cases (for example, AWS Batch, Amazon EMR, Fargate) (AWS Documentation: AWS Batch on AWS Fargate, Compute Services)
- Distributed computing concepts supported by AWS global infrastructure and edge services (AWS Documentation: Global infrastructure)
- Queuing and messaging concepts (for example, publish/subscribe) (AWS Documentation: Pub/Sub Messaging)
- Scalability capabilities with appropriate use cases (for example, Amazon EC2 Auto Scaling, AWS Auto Scaling) (AWS Documentation: Amazon EC2 Auto Scaling)
- Serverless technologies and patterns (for example, Lambda, Fargate) (AWS Documentation: Serverless)
- The orchestration of containers (for example, Amazon ECS, Amazon EKS) (AWS Documentation: Orchestrating the containers)
Skills in:
- Decoupling workloads so that components can scale independently (AWS Documentation: Event-Driven Architecture)
- Identifying metrics and conditions to perform scaling actions (AWS Documentation: Monitor CloudWatch metrics)
- Selecting the appropriate compute options and features (for example, EC2 instance types) to meet business requirements (AWS Documentation: Amazon EC2 Instance Types)
- Selecting the appropriate resource type and size (for example, the amount of Lambda memory) to meet business requirements
Task Statement 3: Determine high-performing database solutions.
Knowledge of:
- AWS global infrastructure (for example, Availability Zones, AWS Regions) (AWS Documentation: Global infrastructure)
- Caching strategies and services (for example, Amazon ElastiCache) (AWS Documentation: Caching strategies)
- Data access patterns (for example, read-intensive compared with write-intensive) (AWS Documentation: Best practices for Amazon RDS)
- Database capacity planning (for example, capacity units, instance types, Provisioned IOPS)
- Database connections and proxies (AWS Documentation: Using Amazon RDS Proxy)
- Database engines with appropriate use cases (for example, heterogeneous migrations, homogeneous migrations) (AWS Documentation: Heterogeneous database migration)
- Database replication (for example, read replicas) (AWS Documentation: Working with read replicas)
- Database types and services (for example, serverless, relational compared with non-relational, in-memory) (AWS Documentation: Database)
Skills in:
- Configuring read replicas to meet business requirements
- Designing database architectures (AWS Documentation: Database Architecture Selection)
- Determining an appropriate database engine (for example, MySQL compared with PostgreSQL) (AWS Documentation: Best practices for Amazon RDS)
- Determining an appropriate database type (for example, Amazon Aurora, Amazon DynamoDB)
- Integrating caching to meet business requirements
Task Statement 4: Determine high-performing and/or scalable network architectures.
Knowledge of:
- Edge networking services with appropriate use cases (for example, Amazon CloudFront, AWS Global Accelerator) (AWS Documentation: Edge networking with AWS)
- How to design network architecture (for example, subnet tiers, routing, IP addressing) (AWS Documentation: VPC with public and private subnets (NAT))
- Load balancing concepts (for example, Application Load Balancer) (AWS Documentation: Application Load Balancer)
- Network connection options (for example, AWS VPN, Direct Connect, AWS PrivateLink) (AWS Documentation: AWS Direct Connect)
Skills in:
- Creating a network topology for various architectures (for example, global, hybrid, multi-tier) (AWS Documentation: Plan your Network Topology)
- Determining network configurations that can scale to accommodate future needs (AWS Documentation: AWS Foundational Security Best Practices controls)
- Determining the appropriate placement of resources to meet business requirements
- Selecting the appropriate load balancing strategy (AWS Documentation: Application Load Balancer)
Task Statement 5: Determine high-performing data ingestion and transformation solutions.
Knowledge of:
- Data analytics and visualization services with appropriate use cases (for example, Amazon Athena, AWS Lake Formation, Amazon QuickSight) (AWS Documentation: Amazon QuickSight, Use Amazon Athena and Amazon QuickSight to build custom reports)
- Data ingestion patterns (for example, frequency) (AWS Documentation: Data ingestion patterns)
- Data transfer services with appropriate use cases (for example, AWS DataSync, AWS Storage Gateway) (AWS Documentation: AWS DataSync)
- Data transformation services with appropriate use cases (for example, AWS Glue) (AWS Documentation: What is AWS Glue?)
- Secure access to ingestion access points (AWS Documentation: Managing data access with Amazon S3 access points)
- Sizes and speeds needed to meet business requirements
- Streaming data services with appropriate use cases (for example, Amazon Kinesis) (AWS Documentation: AWS Streaming Data Solution for Amazon Kinesis)
Skills in:
- Building and securing data lakes (AWS Documentation: Securing, protecting, and managing data)
- Designing data streaming architectures (AWS Documentation: Build Modern Data Streaming Analytics Architectures on AWS)
- Designing data transfer solutions
- Implementing visualization strategies (AWS Documentation: Visualizing data in Amazon QuickSight)
- Selecting appropriate compute options for data processing (for example, Amazon EMR)
- Selecting appropriate configurations for ingestion (AWS Documentation: Data ingestion methods)
- Transforming data between formats (for example, .csv to .parquet)
Domain 4: Design Cost-Optimized Architectures
Task Statement 1: Design cost-optimized storage solutions.
Knowledge of:
- Access options (for example, an S3 bucket with Requester Pays object storage) (AWS Documentation: Using Requester Pays buckets for storage transfers and usage)
- AWS cost management service features (for example, cost allocation tags, multi-account billing) (AWS Documentation: Using Cost Allocation Tags)
- AWS cost management tools with appropriate use cases (for example, AWS Cost Explorer, AWS Budgets, AWS Cost and Usage Report) (AWS Documentation: Analyzing your costs with AWS Cost Explorer)
- AWS storage services with appropriate use cases (for example, Amazon FSx, Amazon EFS, Amazon S3, Amazon EBS) (AWS Documentation: Storage)
- Backup strategies (AWS Documentation: AWS Backup)
- Block storage options (for example, hard disk drive [HDD] volume types, solid state drive [SSD] volume types) (AWS Documentation: Amazon EBS volume types)
- Data lifecycles (AWS Documentation: Amazon Data Lifecycle Manager)
- Hybrid storage options (for example, DataSync, Transfer Family, Storage Gateway)
- Storage access patterns
- Storage tiering (for example, cold tiering for object storage) (AWS Documentation: Using Amazon S3 storage classes)
- Storage types with associated characteristics (for example, object, file, block) (AWS Documentation: Storage)
Skills in:
- Designing appropriate storage strategies (for example, batch uploads to Amazon S3 compared with individual uploads) (AWS Documentation: Best practices design patterns: optimizing Amazon S3 performance)
- Determining the correct storage size for a workload (AWS Documentation: Tips for Right Sizing)
- Determining the lowest cost method of transferring data for a workload to AWS storage
- Determining when storage auto scaling is required (AWS Documentation: Amazon EC2 Auto Scaling)
- Managing S3 object lifecycles (AWS Documentation: Managing your storage lifecycle)
- Selecting the appropriate backup and/or archival solution (AWS Documentation: Choosing AWS services for data protection)
- Selecting the appropriate service for data migration to storage services
- Selecting the appropriate storage tier
- Selecting the correct data lifecycle for storage (AWS Documentation: Managing your storage lifecycle)
- Selecting the most cost-effective storage service for a workload (AWS Documentation: Cost-effective resources)
Task Statement 2: Design cost-optimized compute solutions.
Knowledge of:
- AWS cost management service features (for example, cost allocation tags, multi-account billing) (AWS Documentation: Using Cost Allocation Tags)
- AWS cost management tools with appropriate use cases (for example, Cost Explorer, AWS Budgets, AWS Cost and Usage Report) (AWS Documentation: AWS Cost Explorer)
- AWS global infrastructure (for example, Availability Zones, AWS Regions) (AWS Documentation: Global infrastructure)
- AWS purchasing options (for example, Spot Instances, Reserved Instances, Savings Plans) (AWS Documentation: Instance purchasing options)
- Distributed compute strategies (for example, edge processing) (AWS Documentation: Amazon SageMaker Distributed Training Libraries)
- Hybrid compute options (for example, AWS Outposts, AWS Snowball Edge) (AWS Documentation: Compute Services)
- Instance types, families, and sizes (for example, memory optimized, compute optimized, virtualization) (AWS Documentation: Memory optimized instances)
- Optimization of compute utilization (for example, containers, serverless computing, microservices)
- Scaling strategies (for example, auto scaling, hibernation) (AWS Documentation: Warm pools for Amazon EC2 Auto Scaling)
Skills in:
- Determining an appropriate load balancing strategy (for example, Application Load Balancer [Layer 7] compared with Network Load Balancer [Layer 4] compared with Gateway Load Balancer) (AWS Documentation: Elastic Load Balancing FAQs)
- Determining appropriate scaling methods and strategies for elastic workloads (for example, horizontal compared with vertical, EC2 hibernation) (AWS Documentation: Best practices for EC2 Spot)
- Determining cost-effective AWS compute services with appropriate use cases (for example, Lambda, Amazon EC2, Fargate)
- Determining the required availability for different classes of workloads (for example, production workloads, non-production workloads) (AWS Documentation: Workloads)
- Selecting the appropriate instance family for a workload
- Selecting the appropriate instance size for a workload (AWS Documentation: Tips for Right Sizing)
Task Statement 3: Design cost-optimized database solutions.
Knowledge of:
- AWS cost management service features (for example, cost allocation tags, multi-account billing) (AWS Documentation: Using Cost Allocation Tags)
- AWS cost management tools with appropriate use cases (for example, Cost Explorer, AWS Budgets, AWS Cost and Usage Report) (AWS Documentation: AWS Cost Explorer)
- Caching strategies (AWS Documentation: Caching strategies)
- Data retention policies
- Database capacity planning (for example, capacity units) (AWS Documentation: Read/write capacity mode)
- Database connections and proxies (AWS Documentation: Using Amazon RDS Proxy)
- Database engines with appropriate use cases (for example, heterogeneous migrations, homogeneous migrations) (AWS Documentation: Heterogeneous database migration)
- Database replication (for example, read replicas) (AWS Documentation: Working with read replicas)
- Database types and services (for example, relational compared with non-relational, Aurora, DynamoDB) (AWS Documentation: Database)
Skills in:
- Designing appropriate backup and retention policies (for example, snapshot frequency)
- Determining an appropriate database engine (for example, MySQL compared with PostgreSQL) (AWS Documentation: Best practices for Amazon RDS)
- Determining cost-effective AWS database services with appropriate use cases (for example, DynamoDB compared with Amazon RDS, serverless)
- Determining cost-effective AWS database types (for example, time series format, columnar format) (AWS Documentation: AWS Cloud Databases)
- Migrating database schemas and data to different locations and/or different database engines (AWS Documentation: Best practices for AWS Database Migration Service)
Task Statement 4: Design cost-optimized network architectures.
Knowledge of:
- AWS cost management service features (for example, cost allocation tags, multi-account billing) (AWS Documentation: Using Cost Allocation Tags)
- AWS cost management tools with appropriate use cases (for example, Cost Explorer, AWS Budgets, AWS Cost and Usage Report) (AWS Documentation: AWS Cost Explorer)
- Load balancing concepts (for example, Application Load Balancer) (AWS Documentation: Application Load Balancer)
- NAT gateways (for example, NAT instance costs compared with NAT gateway costs) (AWS Documentation: Compare NAT gateways and NAT instances)
- Network connectivity (for example, private lines, dedicated lines, VPNs) (AWS Documentation: Network-to-Amazon VPC connectivity options)
- Network routing, topology, and peering (for example, AWS Transit Gateway, VPC peering) (AWS Documentation: Transit gateway design best practices)
- Network services with appropriate use cases (for example, DNS) (AWS Documentation: Networking and Content Delivery)
Skills in:
- Configuring appropriate NAT gateway types for a network (for example, a single shared NAT gateway compared with NAT gateways for each Availability Zone) (AWS Documentation: NAT gateways)
- Configuring appropriate network connections (for example, Direct Connect compared with VPN compared with internet) (AWS Documentation: AWS Direct Connect FAQs)
- Configuring appropriate network routes to minimize network transfer costs (for example, Region to Region, Availability Zone to Availability Zone, private to public, Global Accelerator, VPC endpoints)
- Determining strategic needs for content delivery networks (CDNs) and edge caching (AWS Documentation: Working with Content Delivery Networks (CDNs))
- Reviewing existing workloads for network optimizations (AWS Documentation: Optimize over time)
- Selecting an appropriate throttling strategy (AWS Documentation: Throttle API requests for better throughput)
- Selecting the appropriate bandwidth allocation for a network device (for example, a single VPN compared with multiple VPNs, Direct Connect speed) (AWS Documentation: Site-to-Site VPN single and multiple connection)
Now that all the domains are very clear to you. Let’s move on to start preparing with the AWS Certified Solutions Architect Associate Online Course.
AWS Certified Solutions Architect Associate Online Course
As an AWS Certified Solutions Architect Associate, you will not be doing repetitive and monotonous tasks but will have to pay heed to very different tasks including designing the system required in the AWS platform. It is suggested to have a basic understanding of Architectural skills, techniques, problems together with mastering the ability to identify and understand technical requirements, global infrastructure, and networking web of AWS. First and foremost, time is the deal maker or breaker. To pass the exam and attain your desired certification, you must tighten up your boots and choose the best suitable preparation material for yourself. Testprep training provides you with the best in class AWS Certified Solutions Architect Associate Online Course. This online course has been prepared by subject matter experts to help you gain command of the necessary skills to prepare for AWS Certified Solutions Architect Associate Exam.
An AWS Solutions Architect Associate collaborates with the team that creates solutions and is in charge of designing one or more services or applications for a company. You’ll need a good mix of business and technical skills, which is really important right now. To excel in these skills, you must have the strong knowledge needed for the job. Testprep training is designed to give you the right experience and hands-on learning to make you stand out and earn the AWS Solutions Architect Associate certification.
What’s Inside?
- 23 hours + Learning Videos for all Course Objectives (100% Course Covered)
- 13 Scenarios based Lab-Sessions
- Latest Updated content
- Unlimited Lifetime access
Online Course Modules
The AWS AWS Solutions Architect Associate Online Course covers the following topics –
Welcome to the World of AWS! (8)
- Firstly, Introduction to AWS
- Secondly, Introduction to Storage Services
- Introduction to Database Services
- Also, Introduction to Compute and Networking Services
- Introduction to Messaging Services
- Subsequently, Introduction to Management, Security and Analytics Services
- Highly Available & Fault Tolerant NodeJS Server
- Finally, AWS Free Tier
Bulletproof HTML5 Websites with AWS (6)
- Firstly, Architecture Discussion and Lab Preparation
- Secondly, Purchasing Domain Names with Route 53
- Creating an S3 Bucket and Hosting our Website
- Also, Creating an SSL Certificate with AWS Certificate Manager
- Subsequently, Creating a Cloud Front Distribution
- Finally, Routing Traffic with AWS Route 53
Identity and Access Management (IAM) Security (4)
- Firstly, Identity and Access Management (IAM)
- Hands-On – Identity and Access Management (IAM)
- Also, Hands-On – Trusted Adviser
- Finally, IAM Best Practices
Elastic Compute Cloud (EC2) (7)
- Firstly, Elastic Compute Cloud (EC2) Core Knowledge
- Secondly, Hands-On – Creating a NodeJS Server on EC2 Linux
- Hands-On – Connect to EC2 using BASH on Windows
- Also, Hands-On – Connecting to EC2 Windows Instances
- Then, Hands-On – Mac OS X connecting to Linux and Windows EC2
- Subsequently, Hands-On – Creating a Custom AMI
- Finally, Hands-On – Elastic Block Store (EBS)
Simple Storage Service (S3) (3)
- Firstly, Simple Storage Service (S3) Core Knowledge
- Hands-On – Simple Storage Service (S3) Core Knowledge
- Finally, Hands-On – S3 Bucket Policies and ACLs Core Knowledge
CloudFront (1)
- CloudFront Core Knowledge
Relational Database Service (RDS) (6)
- Firstly, Relational Database Service (RDS) Core Knowledge
- Secondly, Hands-On – Relational Database Service (RDS) Core Knowledge
- Lab Session – RDS PostgreSQL Database Server
- Also, Lab Session – RDS Oracle Database Server
- Subsequently, Lab Session – RDS Microsoft SQL Server Database Server
- Finally, Lab Session – Migrating from Oracle to Aurora using AWS Data Migration Service
DynamoDB (1)
- DynamoDB Core Knowledge
Virtual Private Cloud (VPC) (2)
- Virtual Private Cloud (VPC) Core Knowledge
- Hands On – VPC
Elastic File Service (EFS) (2)
- Elastic File Service (EFS)
- Hands On – Elastic File Service (EFS)
CloudFormation (3)
- CloudFormation Core Knowledge
- Part 1
- Part 2
OpsWorks (2)
- OpsWorks Core Knowledge
- Hands On – OpsWorks Core Knowledge
Simple Queue Service (SQS) (1)
- Simple Queue Service (SQS)
Simple Workflow Service (SWF) (1)
- Simple Workflow Service (SWF)
Simple Notification Service (SNS) (1)
- Simple Notification Service (SNS) Core Knowledge
CloudWatch (1)
- CloudWatch
Big Data Solutions (1)
- Big Data Solutions Core Knowledge
API Gateway (2)
- Intro
- Lab Session 1 – Creating a REST API
Deployment (1)
- Deployment – Core Knowledge
ElasticCache (1)
- ElasticCache – Core Knowledge
Lab Session – Highly Available and Fault Tolerant Architecture (3)
- Part 1
- Then, Part 2
- Part 3
AWS Command Line Interface (CLI) (2)
- AWS Command line Interface (CLI)
- Hands On – AWS Command Line Interface (CLI)
DynamoDB (1)
- Hands On – Using DynamoDB
CloudWatch (1)
- Hands On – CloudWatch
Route 53 (1)
- Route 53 CSAA / CSOAA
Backup & Disaster Recovery (1)
- Backup & Recovery
AWS Elastic Load Balancing (ELB) (5)
- Firstly, AWS Elastic Load Balancing (ELB)
- Secondly, AWS Application Load Balancers
- Also, Application Load Balancers
- Then, AWS Application Load Balancers
- Finally, Lab Session: Network Load Balancers
Auto Scaling (1)
- Auto Scaling
Lab Session – Highly Available and Fault Tolerant Architecture (2)
- Part 4
- Part 5
Lab Session – Using ElasticCache Redis (1)
- Part 1
CloudTrail (1)
- CloudTrail
Architecture Design (1)
- Architecture Design
Data Security (1)
- Data Security
Direct Connect (1)
- Direct Connect Solutions Architect
With this, you have now included every domain covered in the AWS Solutions Architect Associate online course. Now, it is time to brush up the skills you’ve acquired via this online course. Sharpening your skills will help you master them, and will therefore serve very beneficial in grabbing highly paid job profiles, and other financial benefits.
Benefits of the AWS Solutions Architect Associate Online Course
Technology is one field that is constantly evolving with the tech-oriented job. That being said, the job demands you to be updated and to put the best practices to use. Outdated and inefficient ways must be replaced and existing ways must be monitored and improved on a continuous basis. This is the chief objective of the AWS Solutions Architect Associate Online Course offered by Testprep training.
- First of all, our team of experts keep an eye on the latest changes in the exam-specific domains and accordingly update our course material. This ensures that our online course remains up-to-date with the official AWS regulations. Thereby, enabling you to stay updated and prepare for what is to be testes, rather than grasping knowledge in the fields that are no longer to be tested.
- Secondly, apart from the learning material offered, we offer video lectures prepared by qualified instructors to help you attain proficiency, and hence pass the exam. Moreover, these video lectures can be taken at your convenience, making it the most friendly way of learning
- Also, our course material will be available for a lifetime with unlimited access. Also, if there is any change in the exam objectives, we keep on updating the course content. As a result, you get access to the newly added training videos.
- Last but not the least, we provide lab sessions to help you gain practical expertise along with the theoretical knowledge, ensuring a cent per cent success in the examination.
Preparation Resources for the AWS Solutions Architect Professional exam
First, let’s explore the resources you can use to prepare for the exam and successfully achieve your certification on your first try.
Official AWS Training
The Official AWS Training will guide you to pass your AWS Solutions Architect Associate certification tests on your first try. Furthermore, there are a lot of choices with regards to preparing up your AWS CSS Exam voluntarily, at your own pace. Also, AWS itself distributes piles of preparing and training materials on its site. The courses there will assist you in getting ready for the exam by investigating the domains and planning your study accordingly.
Use AWS documentation and whitepapers
AWS provides a wealth of documentation and whitepapers that cover the services and topics covered in the exam. Make sure you review these resources thoroughly as they can provide valuable insights and information.
Exam Readiness
AWS offers Exam Readiness for the AWS Solutions Architect Professional (SAP-C01) in three different formats –
- Classroom training – It is a physical or virtual classroom to train candidates with an AWS-accredited instructor
- Free digital training – It is an online training platform for candidates to schedule their sessions at their convenience.
- Free webinars – These webinars include presentations from AWS-accredited instructors. This is followed by a live Q&A session.
Recommended Books
There are various books available for AWS Solutions Architect Professional exam.
- AWS Certified Solutions Architect Official Study Guide: Associate Exam by Joe Baron
- Also, AWS Certified Solutions Architect Study Guide: Associate SAA–C01 by Ben Piper and David Clinton
Hands-on experience
Hands-on experience with AWS services is invaluable when preparing for the exam. Make sure you have practical experience with the services and topics covered in the exam, and that you can apply this knowledge to real-world scenarios.
Online Tutorial
Another important learning resource to qualify the exam and gain expertise is the AWS Solutions Architect Associate online tutorials. These tutorials provide a well-elaborated study guide that’ll assist you in gaining hands-on proficiency in applying the concepts of the AWS Security platform in practical scenarios, as an AWS Certified Solutions Architect Associate.
Join Online Forums
Online forums are great for making your studies more complete. Even if you’re a quiet person, you can join in and share your thoughts. Forums are a good way to create a community where you can learn from others.
Practice Tests
Practicing AWS Solutions Architect Exam Papers will help you understand where you need to work in your preparation. Practice papers can come from different places. Just keep in mind that the more you test yourself, the better you’ll get.
The AWS Solutions Architect Associate exam assesses the abilities of an aspirant regarding cloud computing, designing, networking on the AWS platform, and also identifying it’s technicalities and equilibrium. It’s market value and demand makes it worth it. So what are you waiting for? Start practicing Now
Sample Practice Questions
Which of the following services can be used to launch and manage EC2 instances?
A) Amazon S3
B) Amazon RDS
C) Amazon EC2
D) Amazon SQS
Answer: c) Amazon EC2
Which AWS service can be used to store and manage customer-facing SSL/TLS certificates?
A) Amazon S3
B) Amazon CloudFront
C) AWS Certificate Manager
D) AWS Identity and Access Management (IAM)
Answer: c) AWS Certificate Manager
Which AWS service can be used to deploy and manage applications on AWS?
A) AWS CloudFormation
B) Amazon RDS
C) Amazon Elastic Block Store (EBS)
D) AWS Identity and Access Management (IAM)
Answer: a) AWS CloudFormation
What is the maximum number of VPCs that can be created in a single AWS account?
A) 5
B) 10
C) 100
D) 1000
Answer: d) 1000
What AWS service can be used to automatically scale EC2 instances based on demand?
A) Amazon CloudFront
B) Amazon Route 53
C) AWS Lambda
D) Amazon EC2 Auto Scaling
Answer: d) Amazon EC2 Auto Scaling
