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| Section | Weight | Objectives |
|---|
| Design Secure Architectures | 30% | - Design secure access to AWS resources
- 1. Multi-account access and control
- 2. Shared responsibility model
- 3. Identity and access management (IAM, IAM Identity Center)
- 4. Security best practices and least privilege
- 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 for security and threat detection
- 1. Incident response and security automation
- 2. Monitoring and logging services
|
| Design High-Performing Architectures | 24% | - 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. Instance types and sizing
- 2. Compute options (EC2, Lambda, ECS, EKS)
- 3. Scaling and performance optimization
- Design high-performance storage solutions
- 1. Storage performance and durability
- 2. Caching and content delivery
- 3. Storage types (object, block, file)
|
| Design Resilient Architectures | 26% | - Design for reliability and recovery
- 1. Failover and failback processes
- 2. Backup and restore mechanisms
- Design highly available and fault-tolerant architectures
- 1. Replication and disaster recovery strategies
- 2. Load balancing and auto scaling
- 3. Regions, Availability Zones, and edge locations
- Design decoupled and loosely coupled systems
- 1. Serverless and managed service integration
- 2. Event-driven architectures
- 3. Messaging and queue services
|
| Design Cost-Optimized Architectures | 20% | - Control and monitor costs
- 1. Resource tagging and allocation
- 2. Cost management tools and alerts
- Design cost-effective compute and network solutions
- 1. Serverless and pay-as-you-go models
- 2. Right-sizing and reserved instances
- 3. Data transfer cost optimization
- Identify cost-effective storage solutions
- 1. Storage classes and lifecycle policies
- 2. Data retention and archiving
|
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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q73-Q78):
NEW QUESTION # 73
A company is developing a microservices-based application to manage the company ' s delivery operations.
The application consists of microservices that process orders, manage a fleet of delivery vehicles, and optimize delivery routes.
The microservices must be able to scale independently and must be able to handle bursts of traffic without any data loss.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Use WebSocket-based communication between microservices. Deploy the application on Amazon EC2 instances in Auto Scaling groups.
- B. Use Amazon API Gateway REST APIs to establish communication between microservices. Deploy the application on Amazon EC2 instances in Auto Scaling groups.
- C. Use Amazon Simple Queue Service (Amazon SQS) to establish communication between microservices.
Deploy the application on Amazon Elastic Container Service (Amazon ECS) containers on AWS Fargate. - D. Use Amazon Simple Notification Service (Amazon SNS) to establish communication between microservices. Deploy the application on Amazon Elastic Container Service (Amazon ECS) containers on Amazon EC2 instances.
Answer: C
Explanation:
Amazon SQS is a fully managed message queuing service that reliably decouples and scales microservices, distributed systems, and serverless applications. By using SQS, microservices can communicate asynchronously, handle bursts of traffic, and avoid data loss by buffering messages until they are processed.
Deploying the services on ECS with AWS Fargate further reduces operational overhead by removing the need to manage servers, allowing independent scaling of each microservice.
Reference Extract:
" Amazon SQS decouples application components and enables message durability and scaling. AWS Fargate removes the need to manage infrastructure, supporting independent scaling and minimal operational overhead.
"
Source: AWS Certified Solutions Architect - Official Study Guide, Microservices and Messaging section.
NEW QUESTION # 74
A company runs several custom applications on Amazon EC2 instances. Each team within the company manages its own set of applications and backups. To comply with regulations, the company must be able to report on the status of backups and ensure that backups are encrypted.
Which solution will meet these requirements with the LEAST effort?
- A. Use an AWS Lambda function to query Amazon EBS snapshots, Amazon RDS snapshots, and AWS Backup jobs. Configure the Lambda function to process and report on the data. Schedule the function to run daily.
- B. Check the backup status of the EC2 instances daily by reviewing the backup configurations in AWS Backup and Amazon Elastic Block Store (Amazon EBS) snapshots.
- C. Use AWS Config and AWS Backup Audit Manager to ensure compliance. Review generated reports daily.
- D. Create an AWS Lambda function that processes AWS Config events. Configure the Lambda function to query AWS Config for backup-related data and to generate daily reports.
Answer: C
Explanation:
AWS Backup Audit Manager automates auditing and reporting of backup activity and compliance, while AWS Config provides visibility into configuration changes. Together, they provide the simplest, most automated, and compliant backup monitoring solution.
"AWS Backup Audit Manager automatically audits backup activity across AWS resources. You can use predefined or custom frameworks to monitor backup compliance and encryption status." Why D is correct:
Ensures centralized visibility into all backup jobs.
Verifies encryption status automatically.
Generates ready-to-use reports with minimal operational overhead. Complies with regulatory requirements for data protection.
Why others are incorrect:
A & C: Custom Lambda automation increases maintenance effort.
B: Manual checking is operationally inefficient and error-prone.
NEW QUESTION # 75
[Design High-Performing Architectures]
A solutions architect must design a highly available infrastructure for a website. The website is powered by Windows web servers that run on Amazon EC2 instances. The solutions architect mustimplement a solution that can mitigate a large-scale DDoS attack that originates from thousands of IP addresses. Downtime is not acceptable for the website.
Which actions should the solutions architect take to protect the website from such an attack? (Select TWO.)
- A. Use an AWS Lambda function to automatically add attacker IP addresses to VPC network ACLs.
- B. Configure the website to use Amazon CloudFront for both static and dynamic content.
- C. Use AWS Shield Advanced to stop the DDoS attack.
- D. Configure Amazon GuardDuty to automatically block the attackers.
- E. Use EC2 Spot Instances in an Auto Scaling group with a target tracking scaling policy that is set to 80% CPU utilization
Answer: B,C
Explanation:
(https://aws.amazon.com/cloudfront
NEW QUESTION # 76
A solutions architect is developing a multiple-subnet VPC architecture. The solution will consist of six subnets in two Availability Zones. The subnets are defined as public, private and dedicated for databases.
Only the Amazon EC2 instances running in the private subnets should be able to access a database.
Which solution meets these requirements?
- A. Create a now route table that excludes the route to the public subnets' CIDR blocks. Associate the route table to the database subnets.
- B. Create a security group that allows ingress from the security group used by instances in the private subnets. Attach the security group to an Amazon RDS DB instance.
- C. Create a security group that denies ingress from the security group used by instances in the public subnets. Attach the security group to an Amazon RDS DB instance.
- D. Create a new peering connection between the public subnets and the private subnets. Create a different peering connection between the private subnets and the database subnets.
Answer: B
Explanation:
Security groups are stateful. All inbound traffic is blocked by default. If you create an inbound rule allowing traffic in, that traffic is automatically allowed back out again. You cannot block specific IP address using Security groups (instead use Network Access Control Lists).
"You can specify allow rules, but not deny rules." "When you first create a security group, it has no inbound rules. Therefore, no inbound traffic originating from another host to your instance is allowed until you add inbound rules to the security group." Source: https://docs.aws.amazon.com/vpc/latest/userguide
/VPC_SecurityGroups.html#VPCSecurityGroups
NEW QUESTION # 77
[Design Operationally Excellent Architectures]
A company wants to run big data workloads on Amazon EMR. The workloads need to process terabytes of data in memory.
A solutions architect needs to identify the appropriate EMR cluster instance configuration for the workloads.
Which solution will meet these requirements?
- A. Use a storage optimized instance for the primary node. Use compute optimized instances for core nodes and task nodes.
- B. Use a memory optimized instance for the primary node. Use storage optimized instances for core nodes and task nodes.
- C. Use general purpose instances for the primary, core, and task nodes.
- D. Use a general purpose instance for the primary node. Use memory optimized instances for core nodes and task nodes.
Answer: D
Explanation:
Big data workloads that need to process terabytes of data in memory requirememory-optimized instancesfor the core and task nodes to ensure sufficient memory for processing data efficiently.
Primary Node:Ageneral purpose instanceis suitable because it manages cluster operations, including coordination and monitoring, and does not process data directly.
Core and Task Nodes:These nodes handle data storage and processing.Memory-optimized instancesare ideal because they provide high memory-to-CPU ratios, which is critical for in-memory big data workloads.
Why Other Options Are Incorrect:
Option A:Storage optimized and compute optimized instances are not suitable for workloads that rely heavily on in-memory processing.
Option B:A memory-optimized primary node is unnecessary because the primary node does not process data.
Option D:General purpose instances for all nodes will not provide sufficient memory for processing terabytes of data in memory.
AWS Documentation Reference:
Amazon EMR Instance Types
Memory-Optimized Instances
NEW QUESTION # 78
......
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