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Amazon AWS-Solutions-Associate Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Design Resilient Architectures	26%	- Design highly available and fault-tolerant architectures 1. Backup and recovery 2. Disaster recovery planning 3. Multi-AZ and multi-region strategies - Design scalable and loosely coupled architectures 1. Event-driven architectures 2. Decoupled services 3. Elastic scaling
Topic 2: Design Cost-Optimized Architectures	20%	- Design cost-optimized storage solutions 1. Lifecycle management 2. Storage class selection - Design cost-optimized compute, database, and network solutions 1. Pricing models 2. Resource right-sizing 3. Cost monitoring and optimization
Topic 3: Design High-Performing Architectures	24%	- Determine high-performing and scalable storage solutions 1. File storage 2. Block storage 3. Object storage - Determine high-performing database and network architectures 1. Database service selection 2. Network performance optimization 3. Caching strategies - Design high-performing compute solutions 1. Performance optimization 2. Compute service selection 3. Serverless architectures
Topic 4: Design Secure Architectures	30%	- Determine appropriate data security controls 1. Data protection in transit 2. Key management 3. Data protection at rest - Design secure access to AWS resources 1. Least privilege access 2. Authentication and authorization mechanisms 3. Identity and access management - Design secure workloads and applications 1. Secure application integration 2. Network security controls 3. Data encryption

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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Sample Questions (Q30-Q35):

NEW QUESTION # 30
A solutions architect is creating an application that will handle batch processing of large amounts of data. The input data will be held in Amazon S3 and the ou data will be stored in a different S3 bucket. For processing, the application will transfer the data over the network between multiple Amazon EC2 instances.
What should the solutions architect do to reduce the overall data transfer costs?

A. Place all the EC2 instances in the same Availability Zone.
B. Place all the EC2 instances in the same AWS Region.
C. Place all the EC2 instances in an Auto Scaling group.
D. Place all the EC2 instances in private subnets in multiple Availability Zones.

Answer: A

Explanation:
Requirement Analysis: The application involves batch processing of large data transfers between EC2 instances.
Data Transfer Costs: Data transfer within the same Availability Zone (AZ) is typically free, while cross-AZ transfers incur additional costs.
Implementation:
Launch all EC2 instances within the same Availability Zone.
Ensure the instances are part of the same subnet to facilitate seamless data transfer.
Conclusion: Placing all EC2 instances in the same AZ reduces data transfer costs significantly without affecting the application's functionality.
References
AWS Pricing:AWS Data Transfer Pricing

NEW QUESTION # 31
In the context of AWS support, why must an EC2 instance be unreachable for 20 minutes rather than allowing customers to open tickets immediately?

A. Because all EC2 instances are unreachable for 20 minutes every day when AWS does routine maintenance
B. Because all EC2 instances are unreachable for 20 minutes when first launched
C. Because of all the reasons listed here
D. Because most reachability issues are resolved by automated processes in less than 20 minutes

Answer: D

Explanation:
An EC2 instance must be unreachable for 20 minutes before opening a ticket, because most reachability issues are resolved by automated processes in less than 20 minutes and will not require any action on the part of the customer. If the instance is still unreachable after this time frame has passed, then you should open a case with support.
Reference: https://aws.amazon.com/premiumsupport/faqs/

NEW QUESTION # 32
A company has multiple AWS accounts, for various departments. One of the departments wants to share an Amazon S3 bucket with all other department.
Which solution will require the LEAST amount of effort?

A. Create a pre signed URL tor the bucket and share it with other departments
B. Enable cross-account S3 replication for the bucket
C. Set the S3 bucket policy to allow cross-account access to other departments
D. Create 1AM users for each of the departments and configure a read-only IAM policy

Answer: A

NEW QUESTION # 33
A solutions architect is designing the architecture for a two-tier web application. The web application consists of an internet-facing Application Load Balancer (ALB) that forwards traffic to an Auto Scaling group of Amazon EC2 instances.
The EC2 instances must be able to access an Amazon RDS database. The company does not want to rely solely on security groups or network ACLs. Only the minimum resources that are necessary should be routable from the internet.
Which network design meets these requirements?

A. Place the ALB outside the VPC. Place the EC2 instances and RDS database in private subnets.
B. Place the ALB, EC2 instances, and RDS database in private subnets.
C. Place the ALB and EC2 instances in public subnets. Place the RDS database in private subnets.
D. Place the ALB in public subnets. Place the EC2 instances and RDS database in private subnets.

Answer: D

Explanation:
The ALB must be in a public subnet to receive internet traffic. The EC2 instances and the RDS database should be in private subnets to prevent direct internet access, minimizing the attack surface. This aligns with AWS security best practices for web application architectures.
Reference Extract:
"Internet-facing ALBs should be placed in public subnets; EC2 instances and RDS databases should be in private subnets to restrict direct internet access." Source: AWS Certified Solutions Architect - Official Study Guide, Network Security and Design section.

NEW QUESTION # 34
A company is creating a mobile financial app that gives users the ability to sign up and store personal information. The app uses an Amazon DynamoDB table to store user details and preferences.
The app generates a credit score report by using the data that is stored in DynamoDB. The app sends credit score reports to users once every month.
The company needs to provide users with an option to remove their data and preferences. The app must delete customer data within one month of receiving a request to delete the data.
Which solution will meet these requirements with the LEAST operational overhead?

A. Create a DynamoDB stream. Create an AWS Lambda function to delete user information. When a specified TTL expires, write user information to the DynamoDB stream from the DynamoDB table.
Configure the DynamoDB stream to invoke the Lambda function to delete user information.
B. Create an AWS Lambda function to delete user information. Create an Amazon EventBridge rule that runs when a specified TTL expires. Configure the EventBridge rule to invoke the Lambda function.
C. Enable TTL in DynamoDB. Set the expiration date as an attribute. Create an AWS Lambda function to set the TTL based on the expiration date value. Invoke the Lambda function when a user requests to delete personal data.
D. Enable TTL in DynamoDB. Create an AWS Lambda function to delete user information. Configure AWS Config to detect the DynamoDB state change when TTL expires and to invoke the Lambda function.

Answer: C

Explanation:
Amazon DynamoDB supports Time to Live (TTL), which automatically and asynchronously deletes expired items based on a timestamp attribute. TTL is ideal for automatic data expiration with very low operational overhead.
In this scenario:
* When a user requests deletion, the system can calculate an expiration timestamp one month in the future.
* A Lambda function is used once per request to write or update the item's TTL attribute to that timestamp (Option C).
* DynamoDB TTL then automatically removes the item after the expiration time. Deletion typically occurs within 48 hours of the TTL timestamp, which satisfies the "within one month" requirement.
This approach offloads the actual deletion to DynamoDB and avoids building complex orchestration or periodic cleanup jobs.
Options A, B, and D add unnecessary components (EventBridge, streams, AWS Config, and Lambda-based deletion workflows) on top of TTL or custom logic, increasing operational overhead without providing additional value for the given requirement.

NEW QUESTION # 35
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