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| Section | Weight | Objectives |
|---|
| Topic 1: Design for Organizational Complexity | 12.5% | - Networks
- 1. VPN connections
- 2. AWS Direct Connect
- 3. Hybrid DNS architecture
- 4. AWS Transit Gateway
- Multi-account AWS environments - Cross-account strategies and AWS organizations
- 1. Service Control Policies (SCPs)
- 2. Organizational Units (OUs)
- 3. AWS Control Tower
|
| Topic 2: Migration Planning | 15% | - Migration tools and services
- 1. AWS DataSync
- 2. AWS Transfer Family
- 3. AWS Migration Hub
- 4. AWS Server Migration Service
- 5. AWS Application Migration Service
- Data migration considerations
- 1. Snow family devices
- 2. Large-scale data transfer
- Migration strategies
- 1. Rehosting (lift-and-shift)
- 2. Hybrid migration
- 3. Repurchasing
- 4. Replatforming
- 5. Refactoring
- Validation and testing post-migration
|
| Topic 3: Cost Control | 18.5% | - Rightsizing recommendations - Monitoring and controlling costs
- 1. Anomaly detection
- 2. Budget alerts
- Reserved capacity planning
- 1. Savings Plans
- 2. Capacity Reservations
- 3. Reserved Instances
- Cost optimization strategies
- 1. Cost allocation tags
- 2. AWS Budgets
- 3. AWS Cost Explorer
- 4. Cost categories
- Resource efficiency
- 1. Managed services
- 2. Auto Scaling
- 3. Serverless optimization
|
| Topic 4: Continuous Improvement for Existing Solutions | 23% | - Performance optimization
- 1. Caching strategies (CloudFront, ElastiCache)
- 2. CDN implementation
- 3. Database optimization
- Reviewing existing architectures
- 1. Performance efficiency pillar
- 2. Cost optimization pillar
- 3. Security pillar
- 4. Reliability pillar
- 5. AWS Well-Architected Framework
- 6. Operational excellence pillar
- Operational excellence improvements
- 1. CI/CD pipelines
- 2. Monitoring and logging (CloudWatch)
- 3. Infrastructure as Code (CloudFormation, Terraform)
- Security hardening
- 1. Security monitoring
- 2. Encryption strategies
- 3. Identity and access management
- Modernization strategies
- 1. Serverless transformation
- 2. Re-architecting monolithic applications
- 3. Containerization
|
| Topic 5: Design for New Solutions | 31% | - Cost optimization at design phase
- 1. Spot instances
- 2. Reserved Instances and Savings Plans
- 3. Right-sizing resources
- Cloud Adoption Readiness
- 1. 6 Rs of migration
- 2. Migration strategy assessment
- Microservices patterns
- 1. Event-driven architecture
- 2. Serverless architectures (Lambda)
- 3. Containers and ECS/EKS
- Network design
- 1. Security groups and NACLs
- 2. Network segmentation
- 3. VPC architecture
- 4. Subnet planning
- High availability and fault tolerance
- 1. Backup and restore
- 2. Disaster recovery strategies
- 3. Multi-AZ deployments
- Database migration
- 1. AWS DMS (Database Migration Service)
- 2. Database types and selection
- 3. Schema Conversion Tool (SCT)
- Multi-tier architecture
- 1. Web tier design
- 2. Data tier considerations
- 3. Application tier
|
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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q577-Q582):
NEW QUESTION # 577
A company is developing and hosting several projects in the AWS Cloud. The projects are developed across multiple AWS accounts under the same organization in AWS Organizations.
The company requires the cost lor cloud infrastructure to be allocated to the owning project. The team responsible for all of the AWS accounts has discovered that several Amazon EC2 instances are lacking the Project tag used for cost allocation.
Which actions should a solutions architect take to resolve the problem and prevent it from happening in the future? (Choose three.)
- A. Create an SCP in the organization with a deny action for ec2:Runlnstances if the Project tag is missing.
- B. Use AWS Security Hub to aggregate a list of EC2 instances with the missing Project tag.
- C. Use Amazon Inspector in the organization to find resources with missing tags.
- D. Create an AWS Config rule in each account to find resources with missing tags.
- E. Create an IAM policy in each account with a deny action for ec2:RunInstances if the Project tag is missing.
- F. Create an AWS Config aggregator for the organization to collect a list of EC2 instances with the missing Project tag.
Answer: A,D,F
Explanation:
https://docs.aws.amazon.com/config/latest/developerguide/config-rule-multi-account- deployment.html
https://docs.aws.amazon.com/config/latest/developerguide/aggregate-data.html
https://docs.aws.amazon.com/organizations/latest/userguide/orgs_manage_policies_scps_examp les_tagging.html
NEW QUESTION # 578
A public retail web application uses an Application Load Balancer (ALB) in front of Amazon EC2 instances running across multiple Availability Zones (AZs) in a Region backed by an Amazon RDS MySQL Multi-AZ deployment. Target group health checks are configured to use http and pointed at the product catalogue page. Auto Scaling is configured to maintain the web fleet size based on the ALB health check.
Recently, the application experienced an outage. Auto Scaling continuously replaced the instances during the outage. A subsequent investigation determined that the web server metrics were within the normal range, but the database tier was experiencing high load, resulting in severely elevated query response times.
Which of the following changes together would remediate these issues while improving monitoring capabilities for the availability and functionality of the entire application stack for future growth? (Choose two.)
- A. Configure an Amazon ElastiCache cluster and place it between the web application and RDS MySQL instances to reduce the load on the backend database tier.
- B. Configure an Amazon CloudWatch alarm for Amazon RDS with an action to recover a high-load, impaired RDS instance in the database tier.
- C. Configure the target group health check to point at a simple HTML page instead of a product catalog page and the Amazon Route 53 health check against the product page to evaluate full application functionality. Configure Amazon CloudWatch alarms to notify administrators when the site fails.
- D. Configure the target group health check to use a TCP check of the Amazon EC2 web server and the Amazon Route 53 health check against the product page to evaluate full application functionality. Configure Amazon CloudWatch alarms to notify administrators when the site fails.
- E. Configure read replicas for Amazon RDS MySQL and use the single reader endpoint in the web application to reduce the load on the backend database tier.
Answer: A,C
Explanation:
A: Since the issue lies with query response (read) it is cheaper and faster to use ElastiCache which is in memory.
B\C: Unlike a Classic Load Balancer or a Network Load Balancer, an Application Load Balancer can't have transport layer (layer 4) TCP or SSL/TLS listeners. It supports only http and httpS listeners. Additionally, it can't use backend authentication to authenticate https connections between the load balancer and backend instances.
D: Should not recover the RDS instance.
NEW QUESTION # 579
A health insurance company stores personally identifiable information (PII) in an Amazon S3 bucket. The company uses server-side encryption with S3 managed encryption keys (SSE-S3) to encrypt the objects.
According to a new requirement, all current and future objects in the S3 bucket must be encrypted by keys that the company's security team manages. The S3 bucket does not have versioning enabled.
Which solution will meet these requirements?
- A. In the S3 bucket properties, change the default encryption to AES-256 with a customer managed key.
Attach a policy to deny unencrypted PutObject requests to any entities that access the S3 bucket. Use the AWS CLI to re-upload all objects in the S3 bucket. - B. In the S3 bucket properties, change the default encryption to server-side encryption with AWS KMS managed encryption keys (SSE-KMS). Set an S3 bucket policy to deny unencrypted PutObject requests.
Use the AWS CLI to re-upload all objects in the S3 bucket. - C. In the S3 bucket properties, change the default encryption to server-side encryption with AWS KMS managed encryption keys (SSE-KMS). Set an S3 bucket policy to automatically encrypt objects on GetObject and PutObject requests.
- D. In the S3 bucket properties, change the default encryption to SSE-S3 with a customer managed key. Use the AWS CLI to re-upload all objects in the S3 bucket. Set an S3 bucket policy to deny unencrypted PutObject requests.
Answer: A
Explanation:
Explanation
https://docs.aws.amazon.com/AmazonS3/latest/userguide/ServerSideEncryptionCustomerKeys.html Clearly says we need following header for SSE-C x-amz-server-side-encryption-customer-algorithm Use this header to specify the encryption algorithm. The header value must be AES256.
NEW QUESTION # 580
A company ingests and processes streaming market data. The data rate is constant. A nightly process that calculates aggregate statistics takes 4 hours to complete. The statistical analysis is not critical to the business, and data points are processed during the next iteration if a particular run fails.
The current architecture uses a pool of Amazon EC2 Reserved Instances with 1-year reservations. These EC2 instances run full time to ingest and store the streaming data in attached Amazon Elastic Block Store (Amazon EBS) volumes. A scheduled script launches EC2 On- Demand Instances each night to perform the nightly processing. The instances access the stored data from NFS shares on the ingestion servers. The script terminates the instances when the processing is complete.
The Reserved Instance reservations are expiring. The company needs to determine whether to purchase new reservations or implement a new design.
Which solution will meet these requirements MOST cost-effectively?
- A. Update the ingestion process to use a fleet of EC2 Reserved Instances with 3-year reservations behind a Network LoadBalancer. Use AWS Batch with Spot Instances to perform nightly processing with a maximum Spot price that is 50% of the On-Demand price.
- B. Update the ingestion process to use Amazon Kinesis Data Firehose to save data to Amazon Redshift. Use Amazon EventBridge to schedule an AWS Lambda function to run nightly to query Amazon Redshift to generate the daily statistics.
- C. Update the ingestion process to use Amazon Kinesis Data Firehose to save data to Amazon S3.
Use AWS Batch with Spot Instances to perform nightly processing with a maximum Spot price that is 50% of the On-Demand price. - D. Update the ingestion process to use Amazon Kinesis Data Firehose to save data to Amazon S3.
Use a scheduled script to launch a fleet of EC2 On-Demand Instances each night to perform the batch processing of the S3 data. Configure the script to terminate the instances when the processing is complete.
Answer: C
NEW QUESTION # 581
A company is running an application in the AWS Cloud. The core business logic is running on a set of Amazon EC2 instances in an Auto Scaling group. An Application Load Balancer (ALB) distributes traffic to the EC2 instances. Amazon Route 53 record api.example.com is pointing to the ALB.
The company's development team makes major updates to the business logic. The company has a rule that when changes are deployed, only 10% of customers can receive the new logic during a testing window. A customer must use the same version of the business logic during the testing window.
How should the company deploy the updates to meet these requirements?
- A. Create a second target group that is referenced by the ALB. Deploy the new logic to EC2 instances in this new target group. Update the ALB listener rule to use weighted target groups. Configure ALB target group stickiness.
- B. Create a second Auto Scaling group that is referenced by the ALB. Deploy the new logic on a set of EC2 instances in this new Auto Scaling group. Change the ALB routing algorithm to least outstanding requests (LOR). Configure ALB session stickiness.
- C. Create a new launch configuration for the Auto Scaling group. Specify the launch configuration to use the AutoScaIingRoIIingUpdate policy, and set the MaxBatchSize option to 10. Replace the launch configuration on the Auto Scaling group. Deploy the changes.
- D. Create a second ALB, and deploy the new logic to a set of EC2 instances in a new Auto Scaling group.
Configure the ALB to distribute traffic to the EC2 instances. Update the Route 53 record to use weighted routing, and point the record to both of the ALBs.
Answer: A
Explanation:
Explanation
The company should create a second target group that is referenced by the ALB. The company should deploy the new logic to EC2 instances in this new target group. The company should update the ALB listener rule to use weighted target groups. The company should configure ALB target group stickiness. This solution will meet the requirements because weighted target groups are a feature that enables you to distribute traffic across multiple target groups using a single listener rule. You can specify a weight for each target group, which determines the percentage of requests that are routed to that target group. For example, if you specify two target groups, each with a weight of 10, each target group receives half the requests1. By creating a second target group and deploying the new logic to EC2 instances in this new target group, the company can have two versions of its business logic running in parallel. By updating the ALB listener rule to use weighted target groups, the company can control how much traffic is sent to each version. By configuring ALB target group stickiness, the company can ensure that a customer uses the same version of the business logic during the testing window. Target group stickiness is a feature that enables you to bind a user's session to a specific target within a target group for the duration of the session2.
The other options are not correct because:
Creating a second ALB and deploying the new logic to a set of EC2 instances in a new Auto Scaling group would not be as cost-effective or simple as using weighted target groups. A second ALB would incur additional charges and require more configuration and management. Updating the Route 53 record to use weighted routing would not ensure that a customer uses the same version of the business logic during the testing window, as DNS caching could affect how requests are routed.
Creating a new launch configuration for the Auto Scaling group and replacing it on the Auto Scaling group would not allow for gradual traffic shifting between versions. A launch configuration is a template that an Auto Scaling group uses to launch EC2 instances. You can specify information such as the AMI ID, instance type, key pair, security groups, and block device mapping for your instances3.
However, replacing the launch configuration on an Auto Scaling group would affect all instances in that group, not just 10% of customers.
Creating a second Auto Scaling group and changing the ALB routing algorithm to least outstanding requests (LOR) would not allow for controlled traffic shifting between versions. A second Auto Scaling group would require more configuration and management. The LOR routing algorithm is a feature that enables you to route traffic based on how quickly targets respond to requests. The load balancer selects a target from the target group with the fewest outstanding requests . However, this algorithm does not take into account customer sessions or weights.
References:
https://docs.aws.amazon.com/elasticloadbalancing/latest/application/load-balancer-listeners.html#listener-
https://docs.aws.amazon.com/elasticloadbalancing/latest/application/sticky-sessions.html
https://docs.aws.amazon.com/autoscaling/ec2/userguide/LaunchConfiguration.html
https://docs.aws.amazon.com/elasticloadbalancing/latest/application/load-balancer-target-groups.html#rou
NEW QUESTION # 582
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