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Amazon SAP-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Migration Planning	15%	- Data migration considerations 1. Snow family devices 2. Large-scale data transfer - Migration strategies 1. Repurchasing 2. Refactoring 3. Hybrid migration 4. Rehosting (lift-and-shift) 5. Replatforming - Migration tools and services 1. AWS DataSync 2. AWS Server Migration Service 3. AWS Migration Hub 4. AWS Transfer Family 5. AWS Application Migration Service - Validation and testing post-migration
Design for New Solutions	31%	- Microservices patterns 1. Event-driven architecture 2. Containers and ECS/EKS 3. Serverless architectures (Lambda) - Cost optimization at design phase 1. Right-sizing resources 2. Reserved Instances and Savings Plans 3. Spot instances - Cloud Adoption Readiness 1. Migration strategy assessment 2. 6 Rs of migration - High availability and fault tolerance 1. Multi-AZ deployments 2. Disaster recovery strategies 3. Backup and restore - Multi-tier architecture 1. Application tier 2. Data tier considerations 3. Web tier design - Database migration 1. Database types and selection 2. Schema Conversion Tool (SCT) 3. AWS DMS (Database Migration Service) - Network design 1. Security groups and NACLs 2. Subnet planning 3. VPC architecture 4. Network segmentation
Continuous Improvement for Existing Solutions	23%	- Security hardening 1. Encryption strategies 2. Security monitoring 3. Identity and access management - Modernization strategies 1. Serverless transformation 2. Containerization 3. Re-architecting monolithic applications - Reviewing existing architectures 1. AWS Well-Architected Framework 2. Reliability pillar 3. Performance efficiency pillar 4. Operational excellence pillar 5. Cost optimization pillar 6. Security pillar - Performance optimization 1. Caching strategies (CloudFront, ElastiCache) 2. CDN implementation 3. Database optimization - Operational excellence improvements 1. CI/CD pipelines 2. Monitoring and logging (CloudWatch) 3. Infrastructure as Code (CloudFormation, Terraform)
Design for Organizational Complexity	12.5%	- Networks 1. AWS Transit Gateway 2. Hybrid DNS architecture 3. VPN connections 4. AWS Direct Connect - Multi-account AWS environments - Cross-account strategies and AWS organizations 1. AWS Control Tower 2. Service Control Policies (SCPs) 3. Organizational Units (OUs)
Cost Control	18.5%	- Rightsizing recommendations - 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. Cost categories 2. Cost allocation tags 3. AWS Cost Explorer 4. AWS Budgets - Monitoring and controlling costs 1. Budget alerts 2. Anomaly detection

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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q345-Q350):

NEW QUESTION # 345
A delivery company needs to migrate its third-party route planning application to AWS. The third party supplies a supported Docker image from a public registry. The image can run in as many containers as required to generate the route map.
The company has divided the delivery area into sections with supply hubs so that delivery drivers travel the shortest distance possible from the hubs to the customers. To reduce the time necessary to generate route maps, each section uses its own set of Docker containers with a custom configuration that processes orders only in the section's area.
The company needs the ability to allocate resources cost-effectively based on the number of running containers.
Which solution will meet these requirements with the LEAST operational overhead?

A. Create an Amazon Elastic Kubernetes Service (Amazon EKS) cluster on Amazon EC2. Use the Amazon EKS CLI to launch the planning application in pods by using the -tags option to assign a custom tag to the pod.
B. Create an Amazon Elastic Container Service (Amazon ECS) cluster on AWS Fargate. Use the AWS CLI run-task command and set enableECSManagedTags to true to launch the planning application. Use the --tags option to assign a custom tag to the task.
C. Create an Amazon Elastic Container Service (Amazon ECS) cluster on Amazon EC2. Use the AWS CLI with run-tasks set to true to launch the planning application by using the -tags option to assign a custom tag to the task.
D. Create an Amazon Elastic Kubernetes Service (Amazon EKS) cluster on AWS Fargate. Use the Amazon EKS CLI to launch the planning application. Use the AWS CLI tag-resource API call to assign a custom tag to the pod.

Answer: B

Explanation:
Explanation
Amazon Elastic Container Service (ECS) on AWS Fargate is a fully managed service that allows you to run containers without having to manage the underlying infrastructure. When you launch tasks on Fargate, resources are automatically allocated based on the number of tasks running, which reduces the operational overhead.
Using ECS on Fargate allows you to assign custom tags to tasks using the --tags option in the run-task command, as described in the documentation:
https://docs.aws.amazon.com/cli/latest/reference/ecs/run-task.html You can also set enableECSManagedTags to true, which allows the service to automatically add the cluster name and service name as tags.
https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task-placement-constraints.html#tag-based-sch

NEW QUESTION # 346
Question:
A solutions architect is importing a VM from an on-premises environment by using the Amazon EC2 VM Import feature. The imported instance has a public IP and runs in a public subnet in a VPC. However, the instance doesnot appearin the AWS Systems Manager (SSM) console as a managed instance.
Which combination of steps should the architect take to resolve the issue? (Select TWO.)

A. Verify the correct configuration of service-linked roles for Systems Manager.
B. Verify that Systems Manager Agent is installed on the instance and is running.
C. Verify that the instance is assigned an appropriate IAM role for Systems Manager.
D. Verify that the AWS Application Discovery Agent is configured.
E. Verify the existence of a VPC endpoint on the VPC.

Answer: B,C

Explanation:
A is correct becauseSSM Agent must be installed and actively runningon the instance for it to be managed by Systems Manager. Imported VMs typically do not have the agent installed by default.
B is also correct becausean IAM instance profilewith at least the AmazonSSMManagedInstanceCore policy must be attached to the instance to allow communication with SSM.
* Option C is unnecessary if the instance has internet access (via public IP).
* Option D relates to migration assessments, not Systems Manager.
* Option E is good practice but not required for the instance to appear as managed.
References:
Managed Instance Requirements
SSM Agent Installation

NEW QUESTION # 347
A company deploys workloads in multiple AWS accounts. Each account has a VPC with VPC flow logs published in text log format to a centralized Amazon S3 bucket. Each log file is compressed with gzjp compression. The company must retain the log files indefinitely.
A security engineer occasionally analyzes the togs by using Amazon Athena to query the VPC flow logs. The query performance is degrading over time as the number of ingested togs is growing. A solutions architect: must improve the performance of the tog analysis and reduce the storage space that the VPC flow logs use.
Which solution will meet these requirements with the LARGEST performance improvement?

A. Enable S3 Transfer Acceleration for the S3 bucket. Create an S3 Lifecycle configuration to move files to the S3 Intelligent-Tiering storage class as soon as the ties are uploaded
B. Update the VPC flow log configuration to store the files in Apache Parquet format. Specify Hourly partitions for the log files.
C. Create a new Athena workgroup without data usage control limits. Use Athena engine version 2.
D. Create an AWS Lambda function to decompress the gzip flies and to compress the tiles with bzip2 compression. Subscribe the Lambda function to an s3: ObiectCrealed;Put S3 event notification for the S3 bucket.

Answer: B

Explanation:
Converting VPC flow logs to store in Apache Parquet format and specifying hourly partitions significantly improves query performance and reduces storage space usage. Apache Parquet is a columnar storage file format optimized for analytical queries, allowing Athena to scan less data and improve query performance. Partitioning logs by hour further enhances query efficiency by limiting the amount of data scanned during queries, addressing the issue of degrading performance over time due to the growing volume of ingested logs.
AWS Documentation on VPC Flow Logs and Amazon Athena provides insights into configuring VPC flow logs in Apache Parquet format and using Athena for querying log data. This approach is recommended for efficient log analysis and storage optimization.

NEW QUESTION # 348
A company wants to containerize a multi-tier web application and move the application from an on-premises data center to AWS. The application includes web. application, and database tiers.
The company needs to make the application fault tolerant and scalable. Some frequently accessed data must always be available across application servers. Frontend web servers need session persistence and must scale to meet increases in traffic.
Which solution will meet these requirements with the LEAST ongoing operational overhead?

A. Deploy the application on Amazon Elastic Kubernetes Service (Amazon EKS). Configure Amazon EKS to use managed node groups. Run the web servers and application as Kubernetes deployments in the EKS cluster. Store the frontend web server session data in an Amazon DynamoDB table. Create an Amazon Elastic File System (Amazon EFS) volume that all applications will mount at the time of deployment.
B. Run the application on Amazon Elastic Container Service (Amazon ECS) on Amazon EC2. Use Amazon ElastiCache for Redis to cache frontend web server session data. Use Amazon Elastic Block Store (Amazon EBS) with Multi-Attach on EC2 instances that are distributed across multiple Availability Zones.
C. Run the application on Amazon Elastic Kubernetes Service (Amazon EKS). Configure Amazon EKS to use managed node groups. Use ReplicaSets to run the web servers and applications.
Create an Amazon Elastic File System (Amazon EFS) file system. Mount the EFS file system across all EKS pods to store frontend web server session data.
D. Run the application on Amazon Elastic Container Service (Amazon ECS) on AWS Fargate. Use Amazon Elastic File System (Amazon EFS) for data that is frequently accessed between the web and application tiers. Store the frontend web server session data in Amazon Simple Queue Service (Amazon SQS).

Answer: A

NEW QUESTION # 349
A company that is developing a mobile game is making game assets available in two AWS Regions. Game assets ate served from a set of Amazon EC2 instances behind an Application Load Balancer (ALB) in each Region. The company requires game assets to be (etched from the closest Region. If game assets become unavailable in the closest Region, they should be fetched from the other Region.
What should a solutions architect do to meet these requirements?

A. Create an Amazon CloudFront distribution. Create an origin group with one origin for each ALB. Set one of the origins as primary.
B. Create an Amazon Route 53 health check for each ALB. Create a Route 53 failover routing record pointing to the two ALBs. Set the Evaluate Target Health value to Yes.
C. Create an Amazon Route 53 health check for each ALB. Create a Route 53 latency alias record pointing to the two ALBs. Set the Evaluate Target Health value to Yes.
D. Create two Amazon CloudFront distributions, each with one ALB as the origin. Create an Amazon Route 53 failover routing record pointing to the two CloudFront distributions. Set the Evaluate Target Health value to Yes.

Answer: C

NEW QUESTION # 350
......

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