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Amazon SAP-C02 Exam Overview:

Certification Vendor:	Amazon Web Services (AWS)
Exam Name:	AWS Certified Solutions Architect – Professional (SAP-C02)
Exam Number:	SAP-C02
Exam Format:	Multiple response, Multiple choice
Available Languages:	Traditional Chinese, Spanish (Latin America), Japanese, Portuguese (Brazil), English, Korean, Simplified Chinese
Certificate Validity Period:	3 years
Passing Score:	750 (scaled score out of 1000)
Exam Price:	USD 300
Exam Duration:	180 minutes
Real Exam Qty:	Approximately 75 (multiple choice and multiple response; includes unscored questions)
Related Certifications:	AWS Certified Solutions Architect – Associate AWS Certified SysOps Administrator – Associate AWS Certified Developer – Associate AWS Certified DevOps Engineer – Professional
Recommended Training:	AWS Training and Certification AWS Skill Builder
Exam Registration:	Pearson VUE AWS Exam Scheduling AWS Certification Official Registration
Sample Questions:	Amazon SAP-C02 Sample Questions
Exam Way:	Online proctored exam or test center (Pearson VUE)
Pre Condition:	No formal prerequisites required; however, AWS recommends 2+ years of hands-on experience designing and deploying cloud architecture on AWS.
Official Syllabus URL:	https://aws.amazon.com/certification/certified-solutions-architect-professional/

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Amazon SAP-C02 (AWS Certified Solutions Architect - Professional) exam is a certification that is designed to test the knowledge and skills of individuals who are seeking to become expert-level AWS solutions architects. AWS Certified Solutions Architect - Professional (SAP-C02) certification is intended for professionals who have experience in designing and deploying scalable, highly available, and fault-tolerant systems on AWS. To earn this certification, candidates must pass the SAP-C02 Exam, which tests their knowledge of AWS services and best practices for architecting secure and reliable applications on the AWS platform.

Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q420-Q425):

NEW QUESTION # 420
A company uses AWS Organizations to manage a multi-account structure. The company has hundreds of AWS accounts and expects the number of accounts to increase. The company is building a new application that uses Docker images. The company will push the Docker images to Amazon Elastic Container Registry (Amazon ECR). Only accounts that are within the company's organization should have access to the images.
The company has a CI/CD process that runs frequently. The company wants to retain all the tagged images.
However, the company wants to retain only the five most recent untagged images.
Which solution will meet these requirements with the LEAST operational overhead?

A. Create a private repository in Amazon ECR. Create a permissions policy for the repository that includes only required ECR operations. Include a condition to allow the ECR operations for all account IDs in the organization. Schedule a daily Amazon EventBridge rule to invoke an AWS Lambda function that deletes all untagged images over the count of five.
B. Create a public repository in Amazon ECR. Create an IAM role in the ECR account. Set permissions so that any account can assume the role if the value of the aws:PrincipalOrglD condition key is equal to the ID of the company's organization. Add a lifecycle rule to the ECR repository that deletes all untagged images over the count of five.
C. Create a public repository in Amazon ECR. Configure Amazon ECR to use an interface VPC endpoint with an endpoint policy that includes the required permissions for images that the company needs to pull. Include a condition to allow the ECR operations for all account IDs in the company's organization.
Schedule a daily Amazon EventBridge rule to invoke an AWS Lambda function that deletes all untagged images over the count of five.
D. Create a private repository in Amazon ECR. Create a permissions policy for the repository that allows only required ECR operations. Include a condition to allow the ECR operations if the value of the aws:PrincipalOrglD condition key is equal to the ID of the company's organization. Add a lifecycle rule to the ECR repository that deletes all untagged images over the count of five.

Answer: D

Explanation:
Explanation: This option allows the company to use a private repository in Amazon ECR to store and manage its Docker images securely and efficiently1. By creating a permissions policy for the repository that allows only required ECR operations, such as ecr:GetDownloadUrlForLayer, ecr:BatchGetImage, ecr:BatchCheckLayerAvailability, ecr:PutImage, and ecr:InitiateLayerUpload2, the company can restrict access to the repository and prevent unauthorized actions. By including a condition to allow the ECR operations if the value of the aws:PrincipalOrgID condition key is equal to the ID of the company's organization, the company can ensure that only accounts that are within its organization can access the images3. By adding a lifecycle rule to the ECR repository that deletes all untagged images over the count of five, the company can reduce storage costs and retain only the most recent untagged images4.
References:
Amazon ECR private repositories
Amazon ECR repository policies
Restricting access to AWS Organizations members
Amazon ECR lifecycle policies

NEW QUESTION # 421
A multimedia company needs to deliver its video-on-demand (VOD) content to its subscribers in a cost-effective way. The video files range in size from 1-15 GB and are typically viewed frequently for the first 6 months alter creation, and then access decreases considerably. The company requires all video files to remain immediately available for subscribers. There are now roughly 30.000 files, and the company anticipates doubling that number over time.
What is the MOST cost-effective solution for delivering the company's VOD content?

A. Store the video files in Amazon Elastic File System (Amazon EFS) Standard. Enable EFS lifecycle management to move the video files to EFS Infrequent Access after 6 months. Create an Amazon EC2 Auto Scaling group behind an Elastic Load Balancer to deliver the content from Amazon EFS.
B. Use AWS Elemental MediaConvert and store the adaptive bitrate video files in Amazon S3. Configure an AWS Elemental MediaPackage endpoint to deliver the content from Amazon S3.
C. Store the video files in an Amazon S3 bucket using S3 Intelligent-Tiering. Use Amazon CloudFront to deliver the content with the S3 bucket as the origin.
D. Store the video files in Amazon S3 Standard. Create S3 Lifecycle rules to move the video files to S3 Standard-Infrequent Access (S3 Standard-IA) after 6 months and to S3 Glacier Deep Archive after 1 year. Use Amazon CloudFront to deliver the content with the S3 bucket as the origin.

Answer: C

NEW QUESTION # 422
A company wants to migrate its website to AWS. The website uses microservices and runs on containers that are deployed in an on-premises, self-managed Kubernetes cluster. All the manifests that define the deployments for the containers in the Kubernetes deployment are in source control.
All data for the website is stored in a PostgreSQL database. An open source container image repository runs alongside the on-premises environment.
A solutions architect needs to determine the architecture that the company will use for the website on AWS.
Which solution will meet these requirements with the LEAST effort to migrate?

A. Create an Amazon EKS cluster that has managed node groups. Copy the application containers to a new Amazon ECR repository. Deploy the manifests from on premises to the EKS cluster. Create an Amazon Aurora PostgreSQL DB cluster.
B. Create an AWS App Runner service. Connect the App Runner service to the open source container image repository. Deploy the manifests from on premises to the App Runner service. Create an Amazon RDS for PostgreSQL database.
C. Rebuild the on-premises Kubernetes cluster by hosting the cluster on Amazon EC2 instances. Migrate the open source container image repository to the EC2 instances. Deploy the manifests from on premises to the new cluster on AWS. Deploy an open source PostgreSQL database on the new cluster.
D. Create an Amazon ECS cluster that has an Amazon EC2 capacity pool. Copy the application containers to a new Amazon ECR repository. Register each container image as a new task definition. Configure ECS services for each task definition to match the original Kubernetes deployments. Create an Amazon Aurora PostgreSQL DB cluster.

Answer: A

Explanation:
Migrating to an Amazon EKS cluster with managed node groups minimizes the effort required because:
* EKS is fully managed, offering native Kubernetes support, making it easy to deploy the existing Kubernetes manifests without major changes.
* Copying containers to Amazon ECR allows for fully managed, scalable container image storage in AWS, eliminating reliance on the on-premises container repository.
* Deploying the existing manifests directly to EKS reuses all the existing configuration, such as service definitions, deployments, and scaling policies, simplifying migration.
* Using Amazon Aurora PostgreSQL provides a fully managed, highly available database service that is compatible with PostgreSQL, reducing operational overhead compared to managing a self-hosted database.This approach leverages the power of AWS managed services while preserving the existing microservices and deployment practices, ensuring minimal disruption and fastest migration path.

NEW QUESTION # 423
A company needs to optimize the infrastructure for an application that uploads data to Amazon S3. The uploads average 64 KB in size. When the data is uploaded, Amazon S3 sends an event to Amazon EventBridge. EventBridge then invokes an Amazon ECS application task.
The ECS task processes the data and stores the results in an Amazon DynamoDB table. Processing takes an average of 15 minutes. The company must keep the S3 data for 5 years and must keep the DynamoDB data for 15 days.
The application is gaining more users and is handling millions of S3 uploads every hour.
Which set of changes will provide the MOST cost-effective solution for the application?

A. Purchase a Compute Savings Plan based on usage recommendations. Create S3 Lifecycle rules to move the S3 objects to S3 Glacier Deep Archive after 1 day and to expire the objects after 5 years. Configure DynamoDB Standard-Infrequent Access for the DynamoDB table.
B. Create an Amazon Data Firehose stream to receive the data. Configure buffering to deliver messages every minute to Amazon S3 in gzip format. Purchase a Compute Savings Plan based on usage recommendations. Create S3 Lifecycle rules to move the S3 objects to S3 Glacier Deep Archive after 1 day and to expire the objects after 5 years. Configure a TTL of 15 days on the DynamoDB table.
C. Replace the S3 bucket with Amazon Managed Streaming for Apache Kafka (Amazon MSK) to receive the data. Configure tiered storage for data that is older than 1 day. Configure EventBridge to read messages from Amazon MSK in batches of 1,000 messages. Replace the ECS task with an AWS Lambda function for processing. Configure a TTL of 15 days on the DynamoDB table.
D. Replace the ECS task with an AWS Lambda function for processing. Create S3 Lifecycle rules to move the S3 objects to S3 Intelligent-Tiering after 1 day and to expire the objects after 5 years. Configure DynamoDB Standard-Infrequent Access for the DynamoDB table.

Answer: B

Explanation:
The best answer is C because the workload has millions of small 64 KB uploads every hour. Sending every S3 object event through EventBridge to an ECS task creates high event and invocation overhead. Amazon Data Firehose can buffer many incoming records and deliver larger compressed objects to S3, which reduces the small-object problem and improves cost efficiency. The ECS processing takes an average of 15 minutes, so replacing it with Lambda is risky because Lambda has a maximum runtime of 900 seconds, exactly 15 minutes. For five-year retention, S3 Lifecycle rules can transition data to S3 Glacier Deep Archive for long- term low-cost archival. DynamoDB TTL is appropriate for automatically expiring 15-day results without custom cleanup jobs. (AWS Documentation)

NEW QUESTION # 424
A solutions architect has an operational workload deployed on Amazon EC2 instances in an Auto Scaling group. The VPC architecture spans two Availability Zones (AZ) with a subnet in each that the Auto Scaling group is targeting. The VPC is connected to an on-premises environment and connectivity cannot be interrupted. The maximum size ol the Auto Scaling group is 20 instances in service.
The VPC IPv4 addressing is as follows:
VPC CIDR: 10.0.0.0/23
AZ1 subnet CIDR: 10.0.0.0/24
AZ2 subnet CIDR: 10.0.1.0/24
Since deployment, a third AZ has become available in the Region. The solutions architect wants to adopt the new AZ without adding additional IPv4 address space and without service downtime.
Which solution will meet these requirements?

A. Create a new VPC with the same IPv4 address space and define three subnets, with one for each AZ. Update the existing Auto Scaling group to target the new subnets in the new VPC.
B. Update the Auto Scaling group to use the AZ2 subnet only. Delete and re-create the AZ1 subnet using hall the previous address space. Adjust the Auto Seating group to also use the new AZ1 subnet. When the instances are healthy, adjust the Auto Scaling group to use the AZ1 subnet only. Remove the current AZ2 subnet. Create a new AZ2 subnet using the second half of the address space from the original AZ1 subnet. Create a new AZ3 subnet using half the original AZ2 subnet address space, then update the Auto Scaling group to target all three new subnets.
C. Terminate the EC2 instances in the AZ1 subnet. Delete and re-create the AZ1 subnet using half the address space. Update the Auto Scaling group to use this new subnet. Repeat this for the second AZ. Define a new subnet in AZ3, then update the Auto Scaling group to target all three new subnets.
D. Update the Auto Scaling group to use the AZ2 subnet only. Update the AZ1 subnet to have half the previous address space. Adjust the Auto Scaling group to also use the AZ1 subnet again. When the instances are healthy, adjust the Auto Scaling group to use the AZ1 subnet only. Update the current AZ2 subnet and assign the second half of the address space from the original AZ1 subnet. Create a new AZ3 subnet using halt the original AZ2 subnet address space, then update the Auto Scaling group to target all three new subnets.

Answer: B

NEW QUESTION # 425
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