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| Section | Weight | Objectives |
|---|
| Continuous Improvement for Existing Solutions | 23% | - Reviewing existing architectures
- 1. AWS Well-Architected Framework
- 2. Reliability pillar
- 3. Performance efficiency pillar
- 4. Security pillar
- 5. Operational excellence pillar
- 6. Cost optimization pillar
- Operational excellence improvements
- 1. CI/CD pipelines
- 2. Infrastructure as Code (CloudFormation, Terraform)
- 3. Monitoring and logging (CloudWatch)
- Modernization strategies
- 1. Re-architecting monolithic applications
- 2. Serverless transformation
- 3. Containerization
- Security hardening
- 1. Identity and access management
- 2. Encryption strategies
- 3. Security monitoring
- Performance optimization
- 1. Caching strategies (CloudFront, ElastiCache)
- 2. CDN implementation
- 3. Database optimization
|
| Design for New Solutions | 31% | - Cost optimization at design phase
- 1. Reserved Instances and Savings Plans
- 2. Spot instances
- 3. Right-sizing resources
- Microservices patterns
- 1. Containers and ECS/EKS
- 2. Event-driven architecture
- 3. Serverless architectures (Lambda)
- Network design
- 1. Network segmentation
- 2. Subnet planning
- 3. VPC architecture
- 4. Security groups and NACLs
- High availability and fault tolerance
- 1. Multi-AZ deployments
- 2. Backup and restore
- 3. Disaster recovery strategies
- Database migration
- 1. Schema Conversion Tool (SCT)
- 2. Database types and selection
- 3. AWS DMS (Database Migration Service)
- Cloud Adoption Readiness
- 1. 6 Rs of migration
- 2. Migration strategy assessment
- Multi-tier architecture
- 1. Data tier considerations
- 2. Application tier
- 3. Web tier design
|
| Migration Planning | 15% | - Data migration considerations
- 1. Snow family devices
- 2. Large-scale data transfer
- Migration tools and services
- 1. AWS Transfer Family
- 2. AWS Server Migration Service
- 3. AWS DataSync
- 4. AWS Migration Hub
- 5. AWS Application Migration Service
- Validation and testing post-migration - Migration strategies
- 1. Repurchasing
- 2. Hybrid migration
- 3. Rehosting (lift-and-shift)
- 4. Refactoring
- 5. Replatforming
|
| Design for Organizational Complexity | 12.5% | - Cross-account strategies and AWS organizations
- 1. AWS Control Tower
- 2. Organizational Units (OUs)
- 3. Service Control Policies (SCPs)
- Multi-account AWS environments - Networks
- 1. AWS Transit Gateway
- 2. AWS Direct Connect
- 3. VPN connections
- 4. Hybrid DNS architecture
|
| Cost Control | 18.5% | - Resource efficiency
- 1. Serverless optimization
- 2. Auto Scaling
- 3. Managed services
- Reserved capacity planning
- 1. Reserved Instances
- 2. Capacity Reservations
- 3. Savings Plans
- Cost optimization strategies
- 1. AWS Cost Explorer
- 2. Cost allocation tags
- 3. AWS Budgets
- 4. Cost categories
- Monitoring and controlling costs
- 1. Anomaly detection
- 2. Budget alerts
- Rightsizing recommendations
|
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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q181-Q186):
NEW QUESTION # 181
A company's CISO has asked a solutions architect to re-engineer the company's current CI/CD practices to make sure patch deployments to its application can happen as quickly as possible with minimal downtime if vulnerabilities are discovered. The company must also be able to quickly roll back a change in case of errors.
The web application is deployed in a fleet of Amazon EC2 instances behind an Application Load Balancer. The company is currently using GitHub to host the application source code, and has configured an AWS CodeBuild project to build the application. The company also intends to use AWS CodePipeline to trigger builds from GitHub commits using the existing CodeBuild project.
What CI/CD configuration meets all of the requirements?
- A. Configure CodePipeline with a deploy stage using AWS CodeDeploy configured for in-place deployment. Monitor the newly deployed code, and, if there are any issues, push another code update
- B. Configure CodePipeline with a deploy stage using AWS CloudFormation to create a pipeline for test and production stacks. Monitor the newly deployed code, and, if there are any issues, push another code update.
- C. Configure CodePipeline with a deploy stage using AWS CodeDeploy configured for blue/green deployments. Monitor the newly deployed code, and, if there are any issues, trigger a manual rollback using CodeDeploy.
- D. Configure the CodePipeline with a deploy stage using AWS OpsWorks and in-place deployments.
Monitor the newly deployed code, and, if there are any issues, push another code update.
Answer: C
NEW QUESTION # 182
A company use an organization in AWS Organizations to manage multiple AWS accounts. The company hosts some applications in a VPC in the company's snared services account. The company has attached a transit gateway to the VPC in the Shared services account.
The company is developing a new capability and has created a development environment that requires access to the applications that are in the snared services account. The company intends to delete and recreate resources frequently in the development account. The company also wants to give a development team the ability to recreate the team's connection to the shared services account as required.
Which solution will meet these requirements?
- A. Turn on automate acceptance for the transit gateway in the shared services account. Create a VPC endpoint. Use the endpoint policy to grant permissions on the VPC endpoint for the development account. Configure the endpoint service to automatically accept connection requests.Provide the endpoint details to the development team.
- B. Create an Amazon EventBridge rule to invoke an AWS Lambda function that accepts the transit gateway attachment value the development account makes an attachment request. Use AWS Network Manager to store. The transit gateway in the shared services account with the development account.Accept the transit gateway in the development account.
- C. Turn on automate acceptance for the transit gateway in the shared services account. Use AWS Resource Access Manager (AWS RAM) to share the transit gateway resource in the shared services account with the development account. Accept the resource in tie development account. Create a transit gateway attachment in the development account.
- D. Create a transit gateway in the development account. Create a transit gateway peering request to the shared services account. Configure the snared services transit gateway to automatically accept peering connections.
Answer: C
Explanation:
For a development environment that requires frequent resource recreation and connectivity to applications hosted in a shared services account, the most efficient solution involves using AWS Resource Access Manager (RAM) and the transit gateway in the shared services account. By turning on automatic acceptance for the transit gateway in the shared services account and sharing it with the development account through AWS RAM, the development team can easily recreate their connection as needed without manual intervention. This setup allows for scalable, flexible connectivity between accounts while minimizing operational overhead and ensuring consistent access to shared services.
AWS Documentation on AWS Resource Access Manager and Transit Gateway provides guidance on sharing network resources across AWS accounts and enabling automatic acceptance for transit gateway attachments. This approach is also supported by AWS best practices for multi-account strategies using AWS Organizations and network architecture.
NEW QUESTION # 183
A company is building an application that will run on an AWS Lambda function. Hundreds of customers will use the application. The company wants to give each customer a quota of requests for a specific time period.
The quotas must match customer usage patterns. Some customers must receive a higher quota for a shorter time period.
Which solution will meet these requirements?
- A. Create an Application Load Balancer (ALB) in a VPC. Configure the Lambda function as a target for the ALB. Configure an AWS WAF web ACL for the ALB. For each customer, configure a rate-based rule that includes an appropriate request quota.
- B. Create an Amazon API Gateway REST API with a proxy integration to invoke the Lambda function.
For each customer, configure an API Gateway usage plan that includes an appropriate request quota.
Create an API key from the usage plan for each user that the customer needs. - C. Create a Lambda function alias for each customer. Include a concurrency limit with an appropriate request quota. Create a Lambda function URL for each function alias. Share the Lambda function URL for each alias with the relevant customer.
- D. Create an Amazon API Gateway HTTP API with a proxy integration to invoke the Lambda function.
For each customer, configure an API Gateway usage plan that includes an appropriate request quota.
Configure route-level throttling for each usage plan. Create an API key from the usage plan for each user that the customer needs.
Answer: B
Explanation:
The correct answer is A.
A). This solution meets the requirements because it allows the company to create different usage plans for each customer, with different request quotas and time periods. The usage plans can be associated with API keys, which can be distributed to the users of each customer. The API Gateway REST API can invoke the Lambda function using a proxy integration, which passes the request data to the function as input and returns the function output as the response. This solution is scalable, secure, and cost-effective12
B). This solution is incorrect because API Gateway HTTP APIs do not support usage plans or API keys. These features are only available for REST APIs3
C). This solution is incorrect because it does not provide a way to enforce request quotas for each customer.
Lambda function aliases can be used to create different versions of the function, but they do not have any quota mechanism. Moreover, this solution exposes the Lambda function URLs directly to the customers, which is not secure or recommended4
D). This solution is incorrect because it does not provide a way to differentiate between customers or users.
AWS WAF rate-based rules can be used to limit requests based on IP addresses, but they do not support any other criteria such as user agents or headers. Moreover, this solution adds unnecessary complexity and cost by using an ALB and a VPC56 References:
1: Creating and using usage plans with API keys - Amazon API Gateway 2: Set up a proxy integration with a Lambda proxy integration - Amazon API Gateway 3: Choose between HTTP APIs and REST APIs - Amazon API Gateway 4: Using AWS Lambda aliases - AWS Lambda 5: Rate-based rule statement - AWS WAF, AWS Firewall Manager, and AWS Shield Advanced 6: Lambda functions as targets for Application Load Balancers
- Elastic Load Balancing
NEW QUESTION # 184
A company is migrating its on-premises file transfer solution to AWS Transfer Family. The current system includes an SFTP server, a transformation application, and a messaging server. Transformations run every 5 minutes and notify the messaging server when complete.
The company wants to simplify and reduce operational overhead.
- A. Use Amazon S3 as storage with AWS Glue triggered by S3 events for transformations, and notify via SQS.
- B. Use Amazon EMR to perform the transformations and notify via SNS.
- C. Use Amazon EFS with a time-based AWS Glue job every 5 minutes.
- D. Use Amazon EFS and a cron job to perform the transformations. Notify using SNS.
Answer: A
Explanation:
C is correct: AWS Transfer Family can store uploaded files directly into Amazon S3.S3 event notificationscan triggerAWS Glue jobsto transform the data. Upon successful transformation, Glue can send a message toAmazon SQS, enabling event-driven architecture with minimal management.
A and D involve cron jobs or scheduled Glue jobs, which increase operational overhead and delay.
B (EMR) is overkill for frequent, lightweight transformations.
NEW QUESTION # 185
A company has application services that have been containerized and deployed on multiple Amazon EC2 instances with public IPs. An Apache Kafka cluster has been deployed to the EC2 instances. A PostgreSQL database has been migrated to Amazon RDS for PostgreSQL. The company expects a significant increase of orders on its platform when a new version of its flagship product is released.
What changes to the current architecture will reduce operational overhead and support the product release?
- A. Deploy the application on a Kubernetes cluster created on the EC2 instances behind an Application Load Balancer. Deploy the DB instance in Multi-AZ mode and enable storage auto scaling. Create an Amazon Managed Streaming for Apache Kafka cluster and configure the application services to use the cluster. Store static content in Amazon S3 behind an Amazon CloudFront distribution.
- B. Create an EC2 Auto Scaling group behind an Application Load Balancer. Deploy the DB instance in Multi-AZ mode and enable storage auto scaling. Create Amazon Kinesis data streams and configure the application services to use the data streams. Store and serve static content directly from Amazon S3.
- C. Deploy the application on Amazon Elastic Kubernetes Service (Amazon EKS) with AWS Fargate and enable auto scaling behind an Application Load Balancer. Create additional read replicas for the DB instance. Create an Amazon Managed Streaming for Apache Kafka cluster and configure the application services to use the cluster. Store static content in Amazon S3 behind an Amazon CloudFront distribution.
- D. Create an EC2 Auto Scaling group behind an Application Load Balancer. Create additional read replicas for the DB instance. Create Amazon Kinesis data streams and configure the application services to use the data streams. Store and serve static content directly from Amazon S3.
Answer: C
NEW QUESTION # 186
......
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