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Amazon AWS-Solutions-Associate Exam Syllabus Topics:

Section	Weight	Objectives
Design High-Performing Architectures	24%	- Design highly available and scalable storage solutions 1. Amazon EFS, EBS, FSx 2. Data lifecycle management 3. Storage cost optimization 4. Amazon S3 storage classes - Design data transfer solutions 1. Network optimization 2. S3 Transfer Acceleration 3. AWS DataSync, Snow Family - Identify elastic and scalable compute solutions 1. Serverless architectures 2. Amazon ECS, EKS, Lambda 3. Container-based solutions 4. EC2 Auto Scaling
Design Secure Architectures	30%	- Design secure access to AWS resources 1. IAM permissions boundaries 2. IAM users, groups, roles, and policies 3. Least privilege principles 4. AWS STS and temporary credentials - Appropriate data security controls 1. Security posture management 2. AWS KMS, AWS CloudHSM 3. Encryption at rest and in transit 4. S3 bucket policies and access controls - Design secure application tiers 1. AWS PrivateLink, VPC endpoints 2. VPC architecture (subnets, ACLs, security groups) 3. Application security patterns 4. Public vs private subnets
Design Resilient Architectures	26%	- Implement appropriate caching strategies 1. AWS Global Accelerator 2. Cache invalidation strategies 3. Amazon ElastiCache 4. Amazon CloudFront - Design multi-tier architectures 1. Load balancing strategies 2. Highly available architecture patterns 3. Multi-AZ deployments 4. Auto Scaling groups - Design highly available architectures 1. RTO and RPO considerations 2. Amazon Route 53 routing policies 3. Disaster recovery strategies 4. Fault-tolerant design patterns
Design Cost-Optimized Architectures	20%	- Design cost-optimized compute solutions 1. Right-sizing resources 2. Savings Plans 3. Reserved Instances vs On-Demand vs Spot 4. Auto Scaling cost optimization - Design cost-optimized database solutions 1. Database caching strategies 2. Amazon RDS, Aurora pricing 3. DynamoDB on-demand vs provisioned 4. Cost-effective query patterns - Design cost-optimized storage solutions 1. S3 lifecycle policies 2. Storage Gateway 3. Cost-effective data storage patterns 4. Intelligent Tiering

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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Sample Questions (Q232-Q237):

NEW QUESTION # 232
A solutions architect observes that a nightly batch processing job is automatically scaled up for 1 hour before the desired Amazon EC2 capacity is reached. The peak capacity is the same every night and the batch jobs always start at IAM. The solutions architect needs to find a cost-effective solution that will allow for the desired EC2 capacity to be reached quickly and allow the Auto Scaling group to scale down after the batch jobs are complete.
What should the solutions architect do to meet these requirements?

A. Configure scheduled scaling to scale up to the desired compute level.
B. Increase the minimum capacity for the Auto Scaling group.
C. Increase the maximum capacity for the Auto Scaling group.
D. Change the scaling policy to add more EC2 instances during each scaling operation.

Answer: A

NEW QUESTION # 233
A solutions architect has created a new AWS account and must secure AWS account root user access Which combination of actions will accomplish this? (Select TWO.)

A. Ensure the root user uses a strong password
B. Store root user access keys in an encrypted Amazon S3 bucket
C. Apply the required permissions to the root user with an inline policy document
D. Enable multi-factor authentication to the root user
E. Add the root user to a group containing administrative permissions.

Answer: A,D

Explanation:
Explanation
https://aws.amazon.com/premiumsupport/knowledge-center/security-best-practices/
https://docs.aws.amazon.com/IAM/latest/UserGuide/access_policies_managed-vs-inline.html

NEW QUESTION # 234
A company has a service that reads and writes large amounts of data from an Amazon S3 bucket in the same AWS Region. The service is deployed on Amazon EC2 instances within the private subnet of a VPC. The service communicates with Amazon S3 over a NAT gateway in the public subnet. However, the company wants a solution that will reduce the data output costs.
Which solution will meet these requirements MOST cost-effectively?

A. Provision a dedicated EC2 NAT instance in the private subnet. Configure the route table for the public subnet to use the elastic network interface of this instance as the destination for all S3 traffic.
B. Provision a second NAT gateway. Configure the route table for the private subnet to use this NAT gateway as the destination for all S3 traffic.
C. Provision a VPC gateway endpoint. Configure the route table for the private subnet to use the gateway endpoint as the route for all S3 traffic.
D. Provision a dedicated EC2 NAT instance in the public subnet. Configure the route table for the private subnet to use the elastic network interface of this instance as the destination for all S3 traffic.

Answer: C

Explanation:
it allows the company to reduce the data output costs for accessing Amazon S3 from Amazon EC2 instances in a VPC. By provisioning a VPC gateway endpoint, the company can enable private connectivity between the VPC and S3. By configuring the route table for the private subnet to use the gateway endpoint as the route for all S3 traffic, the company can avoid using a NAT gateway, which charges for data processing and data transfer. References:
VPC Endpoints for Amazon S3
VPC Endpoints Pricing

NEW QUESTION # 235
A company maintains about 300 TB in Amazon S3 Standard storage month after month The S3 objects are each typically around 50 GB in size and are frequently replaced with multipart uploads by their global application The number and size of S3 objects remain constant but the company's S3 storage costs are increasing each month How should a solutions architect reduce costs in this situation?

A. Switch from multipart uploads to Amazon S3 Transfer Acceleration
B. Configure S3 inventory to prevent objects from being archived too quickly
C. Enable an S3 Lifecycle policy that deletes incomplete multipart uploads
D. Configure Amazon CloudFront to reduce the number of objects stored in Amazon S3

Answer: C

NEW QUESTION # 236
A company has two applications: a sender application that sends messages with payloads to be processed and a processing application intended to receive the messages with payloads The company wants to implement an AWS service to handle messages between the two applications. The sender application can send about 1,000 messages each hour The messages may take up to 2 days to be processed If the messages fail to process, they must be retained so that they do not impact the processing of any remaining messages Which solution meets these requirements and is the MOST operationally efficient?

A. Use an Amazon Kinesis data stream to receive the messages from the sender application Integrate the processing application with the Kinesis Client Library (KCL)
B. Integrate the sender and processor applications with an Amazon Simple Queue Service (Amazon SQS) queue. Configure a dead-letter queue to collect the messages that failed to process
C. Subscribe the processing application to an Amazon Simple Notification Service (Amazon SNS) topic to receive notifications to process Integrate the sender application to write to the SNS topic.
D. Set up an Amazon EC2 instance running a Redis database Configure both applications to use the instance Store, process, and delete the messages, respectively

Answer: B

NEW QUESTION # 237
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