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Amazon SAA-C03 Exam Syllabus Topics:

SectionWeightObjectives
Design Resilient Architectures26%- Design scalable and loosely coupled architectures
  • 1. Auto Scaling groups
  • 2. Amazon SQS and SNS
  • 3. Amazon API Gateway
  • 4. Amazon EventBridge
  • 5. Elastic Load Balancing
- Design highly available and/or fault-tolerant architectures
  • 1. Disaster recovery strategies (backup/restore, pilot light, warm standby, multi-site)
  • 2. Multi-Region architectures
  • 3. Amazon Route 53 routing policies
  • 4. AWS Global Accelerator
  • 5. Multi-AZ deployments
Design Secure Architectures30%- Design secure access to AWS resources
  • 1. IAM policies and roles
  • 2. Multi-factor authentication (MFA)
  • 3. AWS Organizations and SCPs
  • 4. Identity federation
- Design secure workloads and applications
  • 1. Encryption at rest and in transit
  • 2. AWS WAF and Shield
  • 3. AWS KMS and CloudHSM
  • 4. Security groups and NACLs
- Determine appropriate data security controls
  • 1. Data classification
  • 2. Amazon Macie and GuardDuty
  • 3. Data encryption strategies
  • 4. Data backup and recovery
Design Cost-Optimized Architectures20%- Design cost-optimized database solutions
  • 1. RDS Reserved Instances
  • 2. Aurora Serverless
  • 3. ElastiCache for caching
  • 4. DynamoDB capacity modes (On-demand vs Provisioned)
- Design cost-optimized compute solutions
  • 1. AWS Lambda pricing model
  • 2. Auto Scaling for cost optimization
  • 3. Right-sizing instances
  • 4. EC2 purchasing options (On-Demand, Reserved, Spot, Savings Plans)
- Design cost-optimized storage solutions
  • 1. EFS cost optimization
  • 2. S3 storage classes and lifecycle policies
  • 3. S3 Intelligent-Tiering
  • 4. EBS volume type selection
- Design cost-optimized network architectures
  • 1. Data transfer costs
  • 2. VPC endpoints to reduce NAT costs
  • 3. AWS Direct Connect for cost optimization
  • 4. CloudFront to reduce origin load
Design High-Performing Architectures24%- Determine high-performing database solutions
  • 1. Amazon ElastiCache (Redis/Memcached)
  • 2. Amazon DynamoDB
  • 3. Amazon RDS and Aurora
  • 4. Amazon Redshift
- Determine high-performing and/or scalable network architectures
  • 1. VPC endpoints
  • 2. Amazon Route 53
  • 3. AWS Direct Connect
  • 4. Amazon CloudFront
  • 5. AWS Global Accelerator
- Determine high-performing data ingestion and transformation solutions
  • 1. Amazon MSK
  • 2. Amazon Kinesis
  • 3. AWS Data Pipeline
  • 4. AWS Glue
- Determine high-performing and/or scalable storage solutions
  • 1. Amazon FSx
  • 2. Amazon S3 storage classes and lifecycle policies
  • 3. Amazon EBS volume types
  • 4. Amazon EFS
  • 5. Instance Store
- Design high-performing and elastic compute solutions
  • 1. Amazon ECS and EKS
  • 2. AWS Lambda
  • 3. AWS Elastic Beanstalk
  • 4. Amazon EC2 instance types and families

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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q239-Q244):

NEW QUESTION # 239
[Design High-Performing Architectures]
A company has an on-premises server that uses an Oracle database to process and store customer information The company wants to use an AWS database service to achieve higher availability and to improve application performance. The company also wants to offload reporting from its primary database system.
Which solution will meet these requirements in the MOST operationally efficient way?

Answer: D

Explanation:
Amazon Aurora is a fully managed relational database that is compatible with MySQL and PostgreSQL. It provides up to five times better performance than MySQL and up to three times better performance than PostgreSQL. It also provides high availability and durability by replicating data across multiple Availability Zones and continuously backing up data to Amazon S31. By using Amazon RDS deployed in a Multi-AZ instance deployment to create an Amazon Aurora database, the solution can achieve higher availability and improve application performance.
Amazon Aurora supports read replicas, which are separate instances that share the same underlying storage as the primary instance. Read replicas can be used to offload read-onlyqueries from the primary instance and improve performance. Read replicas can also beused for reporting functions2. By directing the reporting functions to the reader instances, the solution can offload reporting from its primary database system.
A . Use AWS Database Migration Service (AWS DMS) to create an Amazon RDS DB instance in multiple AWS Regions Point the reporting functions toward a separate DB instance from the pri-mary DB instance. This solution will not meet the requirement of using an AWS database service, as AWS DMS is a service that helps users migrate databases to AWS, not a database service itself. It also involves creating multiple DB instances in different Regions, which may increase complexity and cost.
B . Use Amazon RDS in a Single-AZ deployment to create an Oracle database Create a read replica in the same zone as the primary DB instance. Direct the reporting functions to the read replica. This solution will not meet the requirement of achieving higher availability, as a Single-AZ deployment does not provide failover protection in case of an Availability Zone outage. It also involves using Oracle as the database engine, which may not provide better performance than Aurora.
C . Use Amazon RDS deployed in a Multi-AZ cluster deployment to create an Oracle database Di-rect the reporting functions to use the reader instance in the cluster deployment. This solution will not meet the requirement of improving application performance, as Oracle may not provide better performance than Aurora. It also involves using a cluster deployment, which is only supported for Aurora, not for Oracle.
Reference URL: https://aws.amazon.com/rds/aurora/


NEW QUESTION # 240
A company is deploying an application that processes streaming data in near-real time. The company plans to use Amazon EC2 instances for the workload. The network architecture must be configurable to provide the lowest possible latency between nodes.
Which networking solution meets these requirements?

Answer: A

Explanation:
Elastic Fabric Adapter (EFA) is a network interface for Amazon EC2 instances that enables high throughput, low-latency networking, and OS-bypass capabilities. EFAs are designed for applications that require fast inter- node communications, such as HPC, ML, and real-time analytics. EFA provides significantly lower latency than traditional networking, which is ideal for real-time streaming and processing workloads.
Reference Extract from AWS Documentation / Study Guide:
"Elastic Fabric Adapter (EFA) provides low-latency, high-throughput network communications required by high-performance computing applications, enabling fast, scalable, and tightly-coupled workloads on AWS." Source: AWS Certified Solutions Architect - Official Study Guide, EC2 Networking section.


NEW QUESTION # 241
A company has developed an API using an Amazon API Gateway REST API and AWS Lambda functions.
The API serves static and dynamic content to users worldwide. The company wants to decrease the latency of transferring content for API requests.
Options:

Answer: B

Explanation:
* A. Edge-optimized API + Caching: Reduces latency by using Amazon CloudFront for edge locations and enables caching for dynamic content. Compression reduces data transfer latency.
* B. Regional API + Caching: Increases latency for global users due to the lack of edge locations.
* C. Edge-optimized API + Reserved Concurrency: Reserved concurrency ensures Lambda availability but does not address latency for dynamic content.
* D. Regional API + Reserved Concurrency: Lacks edge optimization, increasing latency for global users.
References: Amazon API Gateway


NEW QUESTION # 242
A company is building a suite of RESTful microservices that will be exposed through public endpoints. The company requires a scalable solution to ensure that the microservices handle sudden traffic spikes from global users, minimize latency, and offload requests from the backend microservices.
Which solution will meet these requirements?

Answer: B

Explanation:
Amazon API Gateway with AWS Lambda provides a scalable serverless architecture for RESTful microservices and can automatically handle sudden changes in request volume. Adding Amazon CloudFront in front of the REST API improves performance for global users by caching eligible responses at edge locations, reducing latency, and offloading repeated requests from the backend services.


NEW QUESTION # 243
A company wants to run applications in containers in the AWS Cloud. These applications are stateless and can tolerate disruptions within the underlying infrastructure. The company needs a solution that minimizes cost and operational overhead.
What should a solutions architect do to meet these requirements?

Answer: D


NEW QUESTION # 244
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