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| Section | Weight | Objectives |
|---|
| Design Resilient Architectures | 26% | - Design decoupled and loosely coupled systems
- 1. Messaging and queue services
- 2. Event-driven architectures
- 3. Serverless and managed service integration
- Design highly available and fault-tolerant architectures
- 1. Load balancing and auto scaling
- 2. Regions, Availability Zones, and edge locations
- 3. Replication and disaster recovery strategies
- Design for reliability and recovery
- 1. Failover and failback processes
- 2. Backup and restore mechanisms
|
| Design Cost-Optimized Architectures | 20% | - Design cost-effective compute and network solutions
- 1. Serverless and pay-as-you-go models
- 2. Data transfer cost optimization
- 3. Right-sizing and reserved instances
- Control and monitor costs
- 1. Cost management tools and alerts
- 2. Resource tagging and allocation
- Identify cost-effective storage solutions
- 1. Data retention and archiving
- 2. Storage classes and lifecycle policies
|
| Design High-Performing Architectures | 24% | - Design high-performance networking solutions
- 1. Latency reduction and throughput optimization
- 2. Network architecture and connectivity
- 3. Global acceleration and routing
- Design high-performance storage solutions
- 1. Storage performance and durability
- 2. Caching and content delivery
- 3. Storage types (object, block, file)
- Design high-performance compute solutions
- 1. Instance types and sizing
- 2. Compute options (EC2, Lambda, ECS, EKS)
- 3. Scaling and performance optimization
|
| Design Secure Architectures | 30% | - Design secure access to AWS resources
- 1. Multi-account access and control
- 2. Identity and access management (IAM, IAM Identity Center)
- 3. Shared responsibility model
- 4. Security best practices and least privilege
- Design for security and threat detection
- 1. Monitoring and logging services
- 2. Incident response and security automation
- Design secure workloads and applications
- 1. Network security (VPC, security groups, NACLs)
- 2. Compliance and governance controls
- 3. Data protection and encryption (at rest/in transit)
|
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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q743-Q748):
NEW QUESTION # 743
A law firm needs to make hundreds of files readable for the general public. The law firm must prevent members of the public from modifying or deleting the files before a specified future date. Which solution will meet these requirements MOST securely?
- A. Upload the files to an Amazon S3 bucket that is configured for static website hosting. Select the folder that contains the files. Use S3 Object Lock with a retention period based on the specified date. Grant read-only IAM permissions to any AWS principals that access the S3 bucket.
- B. Create a new Amazon S3 bucket. Enable S3 Versioning. Configure an event trigger to run an AWS Lambda function if a user modifies or deletes an object. Configure the Lambda function to replace the modified or deleted objects with the original versions of the objects from a private S3 bucket.
- C. Upload the files to an Amazon S3 bucket that is configured for static website hosting. Grant read-only IAM permissions to any AWS principals that access the S3 bucket until the specified date.
- D. Create a new Amazon S3 bucket. Enable S3 Versioning. Use S3 Object Lock and set a retention period based on the specified date. Create an Amazon CloudFront distribution to serve content from the bucket. Use an S3 bucket policy to restrict access to the CloudFront origin access control (OAC).
Answer: D
Explanation:
* S3 Object Lock: Enables Write Once Read Many (WORM) protection for data, preventing objects from being deleted or modified for a set retention period.
* S3 Versioning: Helps maintain object versions and ensures a recovery path for accidental overwrites.
* CloudFront Distribution: Ensures secure and efficient public access by serving content through an edge-optimized delivery network while protecting S3 data with OAC.
* Bucket Policy for OAC: Restricts public access to only the CloudFront origin, ensuring maximum security.: Amazon S3 Object Lock Documentation
NEW QUESTION # 744
A company has a web application hosted over 10 Amazon EC2 instances with traffic directed by Amazon Route 53. The company occasionally experiences a timeout error when attempting to browse the application.
The networking team finds that some DNS queries return IP addresses of unhealthy instances, resulting in the timeout error.
What should a solutions architect implement to overcome these timeout errors?
- A. Create an Amazon CloudFront distribution with EC2 instances as its origin. Associate a health check with the EC2 instances.
- B. Create a Route 53 failover routing policy record for each EC2 instance. Associate a health check with each record.
- C. Create a Route 53 simple routing policy record for each EC2 instance. Associate a health check with each record.
- D. Create an Application Load Balancer (ALB) with a health check in front of the EC2 instances. Route to the ALB from Route 53.
Answer: D
Explanation:
Explanation
An Application Load Balancer (ALB) allows you to distribute incoming traffic across multiple backend instances, and can automatically route traffic to healthy instances while removing traffic from unhealthy instances. By using an ALB in front of the EC2 instances and routing traffic to it from Route 53, the load balancer can perform health checks on the instances and only route traffic to healthy instances, which should help to reduce or eliminate timeout errors caused by unhealthy instances.
NEW QUESTION # 745
A company hosts an application on Amazon EC2 On-Demand Instances in an Auto Scaling group. Application peak hours occur at the same time each day. Application users report slow application performance at the start of peak hours. The application performs normally 2-3 hours after peak hours begin. The company wants to ensure that the application works properly at the start o* peak hours.
Which solution will meet these requirements?
- A. Configure a dynamic scaling policy for the Auto Scaling group to launch new instances based on CPU utilization.
- B. Configure a scheduled scaling policy for the Auto Scaling group to launch new instances before peak hours.
- C. Configure an Application Load Balancer to distribute traffic properly to the Instances.
- D. Configure a dynamic scaling policy for the Auto Scaling group to launch new instances based on memory utilization
Answer: B
Explanation:
Understanding the Requirement: The application experiences slow performance at the start of peak hours, but normalizes after a few hours. The goal is to ensure proper performance at the beginning of peak hours.
Analysis of Options:
Application Load Balancer: Ensures proper traffic distribution but does not address the need to have sufficient instances running at the start of peak hours.
Dynamic Scaling Policy Based on Memory or CPU Utilization: While dynamic scaling reacts to usage metrics, it may not preemptively scale in anticipation of peak hours, leading to delays as new instances are launched and become available.
Scheduled Scaling Policy: This allows the Auto Scaling group to launch instances ahead of time, ensuring that enough instances are available and ready to handle the increased load right at the start of peak hours.
Best Solution:
Scheduled Scaling Policy: This approach ensures that new instances are launched and ready before peak hours begin, addressing the slow performance issue at the start of peak periods.
Reference:
Scheduled Scaling for Amazon EC2 Auto Scaling
NEW QUESTION # 746
A company uses a popular content management system (CMS) for its corporate website. However, the required patching and maintenance are burdensome. The company is redesigning its website and wants anew solution. The website will be updated four times a year and does not need to have any dynamic content available. The solution must provide high scalability and enhanced security.
Which combination of changes will meet these requirements with the LEAST operational overhead? (Choose two.)
- A. Deploy an AWS WAF web ACL in front of the website to provide HTTPS functionality
- B. Create the new website. Deploy the website by using an Auto Scaling group of Amazon EC2 instances behind an Application Load Balancer.
- C. Create and deploy an AWS Lambda function to manage and serve the website content
- D. Create the new website and an Amazon S3 bucket Deploy the website on the S3 bucket with static website hosting enabled
Answer: A,B
Explanation:
Explanation
A -> We can configure CloudFront to require HTTPS from clients (enhanced security)
https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/using-https-viewers-to-cloudfront.html D -> storing static website on S3 provides scalability and less operational overhead, then configuration of Application LB and EC2 instances (hence E is out)
NEW QUESTION # 747
A solutions architect manages a containerized application that is deployed on Amazon ECS. The application stores data in an Amazon DynamoDB database. The solutions architect must implement a solution to rotate the database credentials every 30 days.
Which solution will meet these requirements with the LEAST development effort?
- A. Store the credentials as an ECS environment variable. Enable encryption by using AWS KMS with scheduled rotation configured.
- B. Store the ciphertext as an application environment variable. Implement client-side encryption and scheduled rotation by using code.
- C. Store the credentials as a secure string parameter in AWS Systems Manager Parameter Store. Configure automated rotation of the parameter on a schedule.
- D. Store the credentials as a secret in AWS Secrets Manager. Configure automated rotation of the secret on a schedule.
Answer: D
Explanation:
AWS Secrets Manager is the best fit because it is built specifically to store, manage, and rotate secrets such as database credentials. AWS documentation states that Secrets Manager supports automatic rotation for supported secret types and reduces the need for custom credential-rotation code. KMS encrypts keys and data but is not itself a secret-rotation store. Parameter Store can hold secure strings, but Secrets Manager is the AWS service purpose-built for secret lifecycle management and scheduled rotation. Because the question asks for the least development effort, using Secrets Manager with automatic rotation is the most direct and operationally efficient solution.
NEW QUESTION # 748
......
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