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Amazon SAP-C02 Exam Syllabus Topics:

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

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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q118-Q123):

NEW QUESTION # 118
A company has millions of objects in an Amazon S3 bucket. The objects are in the S3 Standard storage class. All the S3 objects are accessed frequently. The number of users and applications that access the objects is increasing rapidly. The objects are encrypted with server-side encryption with AWS KMS keys (SSE-KMS).
A solutions architect reviews the company's monthly AWS invoice and notices that AWS KMS costs are increasing because of the high number of requests from Amazon S3. The solutions architect needs to optimize costs with minimal changes to the application.
Which solution will meet these requirements with the LEAST operational overhead?

A. Use the S3 Intelligent-Tiering storage class for the S3 bucket. Create an S3 Intelligent-Tiering archive configuration to transition objects that are not accessed for 90 days to S3 Glacier Deep Archive.
B. Create a new S3 bucket that has server-side encryption with Amazon S3 managed keys (SSE- S3) as the encryption type. Use S3 Batch Operations to copy the existing objects to the new S3 bucket. Specify SSE-S3.
C. Create a new S3 bucket that has server-side encryption with customer-provided keys (SSE-C) as the encryption type. Copy the existing objects to the new S3 bucket. Specify SSE-C.
D. Use AWS CloudHSM to store the encryption keys. Create a new S3 bucket. Use S3 Batch Operations to copy the existing objects to the new S3 bucket. Encrypt the objects by using the keys from CloudHSM.

Answer: B

Explanation:
This option switches the encryption method from using AWS Key Management Service (AWS KMS) to using server-side encryption with S3 managed keys (SSE-S3). This change can significantly reduce costs because AWS KMS charges per API request, while SSE-S3 does not have additional charges per API request beyond the S3 usage.

NEW QUESTION # 119
A company used Amazon EC2 instances to deploy a web fleet to host a blog site. The EC2 instances are behind an Application Load Balancer (ALB) and are configured in an Auto Scaling group. The web application stores all blog content on an Amazon EFS volume.
The company recently added a feature for bloggers to add video to their posts, attracting 10 times the previous user traffic. At peak times of day, users report buffering and timeout issues while attempting to reach the site or watch videos.
Which is the MOST cost-efficient and scalable deployment that will resolve the issues for users?

A. Update the blog site to use instance store volumes for storage. Copy the site contents to the volumes at launch and to Amazon S3 at shutdown.
B. Reconfigure Amazon EFS to enable maximum I/O.
C. Setup an Amazon CloudFront distribution for all site contents, and point the distribution at the ALB.
D. Configure an Amazon CloudFront distribution. Point the distribution to an S3 bucket, and migrate the videos from EFS to Amazon S3.

Answer: D

Explanation:
Serving large static videos from Amazon S3 fronted by Amazon CloudFront offloads traffic from the web fleet and EFS, delivers low-latency global caching, and scales cost-effectively for 10× demand, resolving buffering/timeouts.

NEW QUESTION # 120
A company needs to improve the reliability of its ticketing application. The application runs on an Amazon Elastic Container Service (Amazon ECS) cluster. The company uses Amazon CloudFront to serve the application. A single ECS service of the ECS cluster is the CloudFront distribution's origin.
The application allows only a specific number of active users to enter a ticket purchasing flow.
These users are identified by an encrypted attribute in their JSON Web Token (JWT). All other users are redirected to a waiting room module until there is available capacity for purchasing.
The application is experiencing high loads. The waiting room module is working as designed, but load on the waiting room is disrupting the applications availability.
This disruption is negatively affecting the application's ticket sale transactions.
Which solution will provide the MOST reliability for ticket sale transactions during periods of high load?

A. Move the application to an Amazon Elastic Kubernetes Service (Amazon EKS) cluster. Split the waiting room module into a pod that is separate from the ticketing pod. Make the ticketing pod part of a StatefulSet. Ensure that the ticketing pod uses the JWT information and appropriately forwards requests to the waiting room pod.
B. Move the application to an Amazon Elastic Kubernetes Service (Amazon EKS) cluster. Split the waiting room module into a pod that is separate from the ticketing pod. Use AWS App Mesh by provisioning the App Mesh controller for Kubernetes. Enable mTLS authentication and service-to- service authentication for communication between the ticketing pod and the waiting room pod.
Ensure that the ticketing pod uses the JWT information and appropriately forwards requests to the waiting room pod.
C. Create a separate service in the ECS cluster for the waiting room. Use a separate scaling configuration. Create a CloudFront function that inspects the JWT information and appropriately forwards requests to the ticketing service or the waiting room service.
D. Create a separate service in the ECS cluster for the waiting room. Use a separate scaling configuration. Ensure that the ticketing service uses the JWT information and appropriately forwards requests to the waiting room service.

Answer: C

Explanation:
You can validate hashed authorization tokens, such as JSON web tokens (JWT), by inspecting authorization headers or other request metadata.
https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/cloudfront- functions.html

NEW QUESTION # 121
A company is in the process of implementing AWS Organizations to constrain its developers to use only Amazon EC2. Amazon S3 and Amazon DynamoDB. The developers account resides In a dedicated organizational unit (OU). The solutions architect has implemented the following SCP on the developers account:

When this policy is deployed, IAM users in the developers account are still able to use AWS services that are not listed in the policy. What should the solutions architect do to eliminate the developers' ability to use services outside the scope of this policy?

A. Modify the Full AWS Access SCP to explicitly deny all services
B. Add an explicit deny statement using a wildcard to the end of the SCP
C. Remove the Full AWS Access SCP from the developer account's OU
D. Create an explicit deny statement for each AWS service that should be constrained

Answer: C

NEW QUESTION # 122
A company is migrating an application to the AWS Cloud. The application runs in an on-premises data center and writes thousands of images into a mounted NFS file system each night. After the company migrates the application, the company will host the application on an Amazon EC2 instance with a mounted Amazon Elastic File System (Amazon EFS) file system.
The company has established an AWS Direct Connect connection to AWS. Before the migration cutover, a solutions architect must build a process that will replicate the newly created on- premises images to the EFS file system.
What is the MOST operationally efficient way to replicate the images?

A. Deploy an AWS DataSync agent to an on-premises server that has access to the NFS file system. Send data over the Direct Connect connection to an AWS PrivateLink interface VPC endpoint for Amazon EFS by using a private VIF. Configure a DataSync scheduled task to send the images to the EFS file system every 24 hours.
B. Deploy an AWS DataSync agent to an on-premises server that has access to the NFS file system. Send data over the Direct Connect connection to an S3 bucket by using public VIF.
Configure an AWS Lambda function to process event notifications from Amazon S3 and copy the images from Amazon S3 to the EFS file system.
C. Deploy an AWS Storage Gateway file gateway with an NFS mount point. Mount the file gateway file system on the on-premises server. Configure a process to periodically copy the images to the mount point.
D. Configure a periodic process to run the aws s3 sync command from the on-premises file system to Amazon S3. Configure an AWS Lambda function to process event notifications from Amazon S3 and copy the images from Amazon S3 to the EFS file system.

Answer: A

Explanation:
You can use VPC endpoints to ensure data transferred between your AWS DataSync agent, either deployed on-premises or in-cloud, doesn't traverse the public internet or need public IP addresses. Using VPC endpoints increases the security of your data by keeping network traffic within your Amazon Virtual Private Cloud (Amazon VPC). VPC endpoints for DataSync are powered by AWS PrivateLink, a highly available, scalable technology that enables you to privately connect your VPC to supported AWS services.
https://aws.amazon.com/datasync/faqs/

NEW QUESTION # 123
......

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