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Amazon SAA-C03 Exam Syllabus Topics:

Section	Weight	Objectives
Design Secure Architectures	30%	- Design secure workloads and applications 1. Security groups and NACLs 2. Encryption at rest and in transit 3. AWS WAF and Shield 4. AWS KMS and CloudHSM - Design secure access to AWS resources 1. Identity federation 2. IAM policies and roles 3. Multi-factor authentication (MFA) 4. AWS Organizations and SCPs - Determine appropriate data security controls 1. Data backup and recovery 2. Amazon Macie and GuardDuty 3. Data classification 4. Data encryption strategies
Design High-Performing Architectures	24%	- Determine high-performing and/or scalable storage solutions 1. Amazon FSx 2. Amazon EFS 3. Amazon S3 storage classes and lifecycle policies 4. Amazon EBS volume types 5. Instance Store - Design high-performing and elastic compute solutions 1. AWS Lambda 2. AWS Elastic Beanstalk 3. Amazon ECS and EKS 4. Amazon EC2 instance types and families - Determine high-performing and/or scalable network architectures 1. Amazon CloudFront 2. AWS Direct Connect 3. Amazon Route 53 4. VPC endpoints 5. AWS Global Accelerator - Determine high-performing data ingestion and transformation solutions 1. AWS Data Pipeline 2. AWS Glue 3. Amazon MSK 4. Amazon Kinesis - Determine high-performing database solutions 1. Amazon DynamoDB 2. Amazon Redshift 3. Amazon ElastiCache (Redis/Memcached) 4. Amazon RDS and Aurora
Design Cost-Optimized Architectures	20%	- Design cost-optimized network architectures 1. VPC endpoints to reduce NAT costs 2. AWS Direct Connect for cost optimization 3. CloudFront to reduce origin load 4. Data transfer costs - Design cost-optimized database solutions 1. Aurora Serverless 2. RDS Reserved Instances 3. DynamoDB capacity modes (On-demand vs Provisioned) 4. ElastiCache for caching - Design cost-optimized compute solutions 1. EC2 purchasing options (On-Demand, Reserved, Spot, Savings Plans) 2. Right-sizing instances 3. Auto Scaling for cost optimization 4. AWS Lambda pricing model - Design cost-optimized storage solutions 1. S3 Intelligent-Tiering 2. EFS cost optimization 3. EBS volume type selection 4. S3 storage classes and lifecycle policies
Design Resilient Architectures	26%	- Design scalable and loosely coupled architectures 1. Elastic Load Balancing 2. Amazon API Gateway 3. Auto Scaling groups 4. Amazon EventBridge 5. Amazon SQS and SNS - Design highly available and/or fault-tolerant architectures 1. Multi-Region architectures 2. Disaster recovery strategies (backup/restore, pilot light, warm standby, multi-site) 3. AWS Global Accelerator 4. Multi-AZ deployments 5. Amazon Route 53 routing policies

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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q718-Q723):

NEW QUESTION # 718
A company runs containers in a Kubernetes environment in the company's local data center. The company wants to use Amazon Elastic Kubernetes Service (Amazon EKS) and other AWS managed services Data must remain locally in the company's data center and cannot be stored in any remote site or cloud to maintain compliance Which solution will meet these requirements?

A. Install an AWS Snowball Edge Storage Optimized node in the data center
B. Deploy AWS Local Zones in the company's data center
C. Use an AWS Snowmobile in the company's data center
D. Install an AWS Outposts rack in the company's data center

Answer: D

Explanation:
AWS Outposts is a fully managed service that delivers AWS infrastructure and services to virtually any on- premises or edge location for a consistent hybrid experience. AWS Outposts supports Amazon EKS, which is a managed service that makes it easy to run Kubernetes on AWS and on-premises. By installing an AWS Outposts rack in the company's data center, the company can run containers in a Kubernetes environment using Amazon EKS and other AWS managed services, while keeping the data locally in the company's data center and meeting the compliance requirements. AWS Outposts also provides a seamless connection to the local AWS Region for access to a broad range of AWS services.
Option A is not a valid solution because AWS Local Zones are not deployed in the company's data center, but in large metropolitan areas closer to end users. AWS Local Zones are owned, managed, and operated by AWS, and they provide low-latency access to the public internet and the local AWS Region. Option B is not a valid solution because AWS Snowmobile is a service that transports exabytes of data to AWS using a 45-foot long ruggedized shipping container pulled by a semi-trailer truck. AWS Snowmobile is not designed for running containers or AWS managed services on-premises, but for large-scale data migration. Option D is not a valid solution because AWS Snowball Edge Storage Optimized is a device that provides 80 TB of HDD or
210 TB of NVMe storage capacity for data transfer and edge computing. AWS Snowball Edge Storage Optimized does not support Amazon EKS or other AWS managed services, and it is not suitable for running containers in a Kubernetes environment.
References:
* AWS Outposts - Amazon Web Services
* Amazon EKS on AWS Outposts - Amazon EKS
* AWS Local Zones - Amazon Web Services
* AWS Snowmobile - Amazon Web Services
* [AWS Snowball Edge Storage Optimized - Amazon Web Services]

NEW QUESTION # 719
A company has an API that receives real-time data from a fleet of monitoring devices. The API stores this data in an Amazon RDS DB instance for later analysis. The amount of data that the monitoring devices send to the API fluctuates. During periods of heavy traffic, the API often returns timeout errors.
After an inspection of the logs, the company determines that the database is not capable of processing the volume of write traffic that comes from the API. A solutions architect must minimize the number of connections to the database and must ensure that data is not lost during periods of heavy traffic.
Which solution will meet these requirements?

A. Increase the size of the DB instance to an instance type that has more available memory.
B. Modify the API to write incoming data to an Amazon Simple Notification Service (Amazon SNS) topic. Use an AWS Lambda function that Amazon SNS invokes to write data from the topic to the database.
C. Modify the API to write incoming data to an Amazon Simple Queue Service (Amazon SQS) queue. Use an AWS Lambda function that Amazon SQS invokes to write data from the queue to the database.
D. Modify the DB instance to be a Multi-AZ DB instance. Configure the application to write to all active RDS DB instances.

Answer: C

Explanation:
Using Amazon SQS will help minimize the number of connections to the database, as the API will write data to a queue instead of directly to the database. Additionally, using an AWS Lambda function that Amazon SQS invokes to write data from the queue to the database will help ensure that data is not lost during periods of heavy traffic, as the queue will serve as a buffer between the API and the database.

NEW QUESTION # 720
A company operates an online photo-sharing service and stores data in AWS Account A in a centralized Amazon S3 bucket. The company wants to grant a second AWS account named Account B access to the centralized S3 bucket. The company owns Account B. Which solution will meet this requirement?

A. Enable S3 Transfer Acceleration to provide Account B access to the centralized S3 bucket in Account A.
B. Enable cross-Region replication between Account A and Account B to share the S3 bucket data.
C. Create a bucket policy that grants Account B permission to access the centralized S3 bucket in Account A.
D. Use Amazon CloudFront to distribute the S3 bucket contents. Grant Account B access to the bucket contents through a signed URL.

Answer: C

Explanation:
To grant cross-account access to an Amazon S3 bucket, you can use a bucket policy that specifies the AWS account ID of the account you want to grant access to. This method allows Account B to access the S3 bucket in Account A without the need for additional services or configurations.

NEW QUESTION # 721
[Design Secure Architectures]
A company wants to run its critical applications in containers to meet requirements tor scalability and availability The company prefers to focus on maintenance of the critical applications The company does not want to be responsible for provisioning and managing the underlying infrastructure that runs the containerized workload What should a solutions architect do to meet those requirements?

A. Use Amazon EC2 instances from an Amazon Elastic Container Service (Amazon ECS)-op6mized Amazon Machine Image (AMI).
B. Use Amazon EC2 Instances, and Install Docker on the Instances
C. Use Amazon Elastic Container Service (Amazon ECS) on Amazon EC2 worker nodes
D. Use Amazon Elastic Container Service (Amazon ECS) on AWS Fargate

Answer: D

Explanation:
using AWS ECS on AWS Fargate since they requirements are for scalability and availability without having to provision and manage the underlying infrastructure to run the containerized workload.https://docs.aws.amazon.com/AmazonECS/latest/userguide/what-is-fargate.html

NEW QUESTION # 722
A solutions architect is building a static website hosted on Amazon S3. The website uses an Amazon Aurora PostgreSQL database accessed through an AWS Lambda function. The production website uses a Lambda alias that points to a specific version of the Lambda function.
Database credentials must rotate every 2 weeks. Previously deployed Lambda versions must always use the most recent credentials.
Which solution will meet these requirements?

A. Store credentials in AWS Systems Manager Parameter Store. Turn on rotation. Write code to retrieve credentials from Parameter Store.
B. Store credentials in AWS Secrets Manager. Turn on rotation. Write code in the Lambda function to retrieve credentials from Secrets Manager.
C. Use Lambda environment variables and update them when new credentials are available.
D. Include the credentials in the Lambda function code and update the function regularly.

Answer: B

Explanation:
AWS Secrets Manager is the recommended service for storing database credentials and performing automated rotation. Any Lambda function version or alias can fetch the latest secret value at runtime, ensuring no outdated credentials exist in deployed versions.

NEW QUESTION # 723
......

The AWS Certified Solutions Architect - Associate (SAA-C03) certification exam is a valuable credential that is designed to validate the candidates' skills and knowledge level. The SAA-C03 certification exam is one of the high in demand industrial recognized credentials to prove your skills and knowledge level. With the Amazon SAA-C03 Certification Exam everyone can upgrade their skills and become competitive and updated in the market.

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