Exam Amazon SAA-C03 Syllabus | SAA-C03 Lead2pass Review

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Amazon SAA-C03 Exam Syllabus Topics:

SectionWeightObjectives
Design Secure Architectures30%- Design secure access to AWS resources
  • 1. Shared responsibility model
  • 2. Identity and access management (IAM, IAM Identity Center)
  • 3. Multi-account access and control
  • 4. Security best practices and least privilege
- Design for security and threat detection
  • 1. Incident response and security automation
  • 2. Monitoring and logging services
- Design secure workloads and applications
  • 1. Data protection and encryption (at rest/in transit)
  • 2. Compliance and governance controls
  • 3. Network security (VPC, security groups, NACLs)
Design Cost-Optimized Architectures20%- Design cost-effective compute and network solutions
  • 1. Data transfer cost optimization
  • 2. Serverless and pay-as-you-go models
  • 3. Right-sizing and reserved instances
- Identify cost-effective storage solutions
  • 1. Storage classes and lifecycle policies
  • 2. Data retention and archiving
- Control and monitor costs
  • 1. Cost management tools and alerts
  • 2. Resource tagging and allocation
Design Resilient Architectures26%- Design for reliability and recovery
  • 1. Failover and failback processes
  • 2. Backup and restore mechanisms
- Design highly available and fault-tolerant architectures
  • 1. Regions, Availability Zones, and edge locations
  • 2. Replication and disaster recovery strategies
  • 3. Load balancing and auto scaling
- Design decoupled and loosely coupled systems
  • 1. Messaging and queue services
  • 2. Event-driven architectures
  • 3. Serverless and managed service integration
Design High-Performing Architectures24%- Design high-performance storage solutions
  • 1. Storage types (object, block, file)
  • 2. Caching and content delivery
  • 3. Storage performance and durability
- Design high-performance networking solutions
  • 1. Network architecture and connectivity
  • 2. Global acceleration and routing
  • 3. Latency reduction and throughput optimization
- Design high-performance compute solutions
  • 1. Compute options (EC2, Lambda, ECS, EKS)
  • 2. Scaling and performance optimization
  • 3. Instance types and sizing

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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q636-Q641):

NEW QUESTION # 636
[Design Resilient Architectures]
A company hosts a three-tier ecommerce application on a fleet of Amazon EC2 instances. The instances run in an Auto Scaling group behind an Application Load Balancer (ALB) All ecommerce data is stored in an Amazon RDS for ManaDB Multi-AZ DB instance The company wants to optimize customer session management during transactions The application must store session data durably Which solutions will meet these requirements? (Select TWO )

Answer: B,D

Explanation:
https://aws.amazon.com/caching/session-management/


NEW QUESTION # 637
A company wants to migrate an Oracle database to AWS. The database consists of a single table that contains millions of geographic information systems (GIS) images that are high resolution and are identified by a geographic code. When a natural disaster occurs, tens of thousands of images get updated every few minutes. Each geographic code has a single image or row that is associated with it. The company wants a solution that is highly available and scalable during such events. Which solution will meet this requirement?

Answer: A

Explanation:
The most resilient and scalable architecture for handling millions of high-resolution images with frequent updates is to store the binary images in Amazon S3 and store their metadata or reference (geographic code and S3 URL) in Amazon DynamoDB.
"Store large objects like images in Amazon S3 and use Amazon DynamoDB to store metadata and references. This design pattern is scalable, highly available, and cost-effective." Why B is correct:
Amazon S3 is designed for storing large volumes of binary data (images).
DynamoDB provides low-latency reads/writes using the geographic code as the partition key.
Highly available, serverless, and auto-scaling, suitable for disaster scenarios with bursts of activity.
Reduces pressure on the database layer by separating metadata from image storage.
Why the others are incorrect:
Option A and D: Storing images directly in RDS is expensive, unscalable, and not optimal for binary storage.
Option C: DynamoDB is suitable, but storing actual binary image data in DynamoDB is not best practice due to item size limits (400 KB) and performance concerns.


NEW QUESTION # 638
A company is deploying a new public web application to AWS. The application will run behind an Application Load Balancer (ALB). The application needs to be encrypted at the edge with an SSL/TLS certificate that is issued by an external certificate authority (CA). The certificate must be rotated each year before the certificate expires.
What should a solutions architect do to meet these requirements?

Answer: C

Explanation:
Explanation
https://www.amazonaws.cn/en/certificate-manager/faqs/#Managed_renewal_and_deployment


NEW QUESTION # 639
An e-commerce company has an application that uses Amazon DynamoDB tables configured with provisioned capacity. Order data is stored in a table named Orders. The Orders table has a primary key of order-ID and a sort key of product-ID. The company configured an AWS Lambda function to receive DynamoDB streams from the Orders table and update a table named Inventory. The company has noticed that during peak sales periods, updates to the Inventory table take longer than the company can tolerate. Which solutions will resolve the slow table updates? (Select TWO.)

Answer: B,E

Explanation:
Key Problem:
Delayed Inventory table updates during peak sales.
DynamoDB Streams and Lambda processing require optimization.
Analysis of Options:
Option A: Adding a GSI is unrelated to the issue. It does not address stream processing delays or capacity issues.
Option B: Optimizing batch size reduces latency and allows the Lambda function to process larger chunks of data at once, improving performance during peak load.
Option C: Increasing write capacity for the Inventory table ensures that it can handle the increased volume of updates during peak times.
Option D: Increasing read capacity for the Orders table does not directly resolve the issue since the problem is with updates to the Inventory table.
Option E: Increasing Lambda timeout only addresses longer processing times but does not solve the underlying throughput problem.


NEW QUESTION # 640
A solutions architect creates a VPC that includes two public subnets and two private subnets. A corporate security mandate requires the solutions architect to launch all Amazon EC2 instances in a private subnet. However, when the solutions architect launches an EC2 instance that runs a web server on ports 80 and 443 in a private subnet, no external internet traffic can connect to the server.
What should the solutions architect do to resolve this issue?

Answer: C

Explanation:
An Application Load Balancer (ALB) is a type of Elastic Load Balancer (ELB) that distributes incoming application traffic across multiple targets, such as EC2 instances, containers, Lambda functions, and IP addresses, in multiple Availability Zones1. An ALB can be internet-facing or internal. An internet-facing ALB has a public DNS name that clients can use to send requests over the internet1. An internal ALB has a private DNS name that clients can use to send requests within a VPC1. This solution meets the requirements of the question because:
It allows external internet traffic to connect to the web server on ports 80 and 443, as the ALB listens for requests on these ports and forwards them to the EC2 instance in the private subnet1.
It does not violate the corporate security mandate, as the EC2 instance is launched in a private subnet and does not have a public IP address or a route to an internet gateway2.
It reduces the operational overhead, as the ALB is a fully managed service that handles the tasks of load balancing, health checking, scaling, and security1.


NEW QUESTION # 641
......

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