SAP-C02 Relevant Answers, Free SAP-C02 Braindumps
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Amazon SAP-C02 Exam is a certification exam aimed at IT professionals who wish to validate their skills and knowledge in designing and deploying AWS solutions. It is the second version of the AWS Certified Solutions Architect - Professional exam and is designed to test an individual’s ability to design and deploy scalable, cost-effective, and fault-tolerant systems on AWS.
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The SAP-C02 Certification is highly valued in the industry, as it demonstrates an advanced level of expertise in AWS cloud architecture. It can help professionals to advance their careers and increase their earning potential. AWS Certified Solutions Architect - Professional (SAP-C02) certification is also recognized by AWS Partner Network (APN) as a requirement for achieving APN Consulting Partner status.
Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q572-Q577):
NEW QUESTION # 572
A company is changing the way that it handles patching of Amazon EC2 instances in its application account. The company currently patches instances over the internet by using a NAT gateway in a VPC in the application account. The company has EC2 instances set up as a patch source repository in a dedicated private VPC in a core account. The company wants to use AWS Systems Manager Patch Manager and the patch source repository in the core account to patch the EC2 instances in the application account. The company must prevent all EC2 instances in the application account from accessing the internet. The EC2 instances in the application account need to access Amazon S3, where the application data is stored. These EC2 instances need connectivity to Systems Manager and to the patch source repository in the private VPC in the core account. Which solution will meet these requirements?
- A. Create VPC endpoints for Systems Manager and Amazon S3. Delete the NAT gateway from the VPC in the application account. Create a VPC peering connection to access the patch source repository EC2 instances in the core account. Update the route tables in both accounts.
- B. Create private VIFs for Systems Manager and Amazon S3. Delete the NAT gateway from the VPC in the application account. Create a transit gateway to access the patch source repository EC2 instances in the core account. Update the route table in the core account.
- C. Create a network ACL that blocks inbound traffic on port 80. Associate the network ACL with all subnets in the application account. Create a transit gateway to access the patch source repository EC2 instances in the core account. Update the route tables in both accounts.
- D. Create a network ACL that blocks outbound traffic on port 80. Associate the network ACL with all subnets in the application account. In the application account and the core account, deploy one EC2 instance that runs a custom VPN server. Create a VPN tunnel to access the private VPC. Update the route table in the application account.
Answer: A
Explanation:
Option C is the correct and most efficient solution, aligning with AWS best practices for secure and private connectivity:
* Create VPC Endpoints for Systems Manager and Amazon S3:
* Systems Manager VPC Endpoints: By creating interface VPC endpoints for Systems Manager (com.amazonaws.region.ssm, com.amazonaws.region.ec2messages, and com.amazonaws.region.
ssmmessages), the EC2 instances can communicate with Systems Manager services without requiring internet access. This setup ensures that patching operations can be conducted securely within the AWS network.
* Amazon S3 VPC Endpoint: A gateway VPC endpoint for Amazon S3 (com.amazonaws.region.
s3) allows EC2 instances to access S3 buckets privately. This is essential for accessing application data stored in S3 without traversing the public internet.
Reference: docs.aws.amazon.com
Delete the NAT Gateway:
Removing the NAT gateway ensures that EC2 instances in the application account cannot access the internet, satisfying the requirement to prevent internet access. This action enhances the security posture by eliminating a potential vector for unauthorized outbound traffic.
Create a VPC Peering Connection:
Establishing a VPC peering connection between the application account's VPC and the core account's private VPC enables direct, private communication between the EC2 instances in both accounts. This setup allows the application account's EC2 instances to access the patch source repository hosted in the core account securely.
Reference: docs.aws.amazon.com
Update Route Tables in Both Accounts:
After setting up the VPC peering connection, it's crucial to update the route tables in both VPCs to allow traffic to flow between them. This configuration ensures that the EC2 instances in the application account can reach the patch source repository in the core account and vice versa.
Why Other Options Are Incorrect:
Option A: Implementing a custom VPN solution introduces unnecessary complexity and operational overhead. Additionally, merely blocking outbound traffic on port 80 does not comprehensively prevent internet access, as other ports (e.g., 443 for HTTPS) remain open.
Option B: Creating private virtual interfaces (VIFs) is typically associated with AWS Direct Connect, which is not applicable in this scenario. Moreover, using a transit gateway, while feasible, is more complex and may be unnecessary for this use case.
Option D: Blocking inbound traffic on port 80 does not prevent outbound internet access. Furthermore, employing a transit gateway adds complexity and cost, which may not be justified given the requirements.
Conclusion:
Option C provides a secure, efficient, and cost-effective solution that meets all the specified requirements:
Prevents EC2 instances from accessing the internet.
Enables access to Amazon S3 and Systems Manager services via VPC endpoints.
Facilitates secure communication with the patch source repository in the core account through VPC peering.
This approach leverages AWS's native networking features to maintain a secure and private environment for patch management operations.
NEW QUESTION # 573
Question:
A company hosts an application that uses several Amazon EC2 instances in an Auto Scaling group behind an Application Load Balancer (ALB). During the initial startup of the EC2 instances, the EC2 instances run user data scripts to download critical content for the application from an Amazon S3 bucket.
The EC2 instances are launching correctly. However, after a period of time, the EC2 instances are terminated with the following error message:
"An instance was taken out of service in response to an ELB system health check failure." The only recent change to the deployment is that the company added a large amount of critical content to the S3 bucket.
What should a solutions architect do so that the production environment can deploy successfully?
- A. Increase the size of the EC2 instances.
- B. Increase the health check timeout for the ALB.
- C. Increase the health check grace period for the Auto Scaling group.
- D. Change the health check path for the ALB.
Answer: C
Explanation:
Comprehensive and Detailed Explanation:
D is correct because thehealth check grace perioddefines how long Auto Scaling waits after launching an instance before checking its health status. With the larger content added to the S3 bucket, the instance initialization (via user data) is taking longer. Increasing the grace period allows the instance time to complete startup tasks before it's marked as unhealthy.
* Option A would not necessarily reduce startup time - the issue is likely network latency or the size of the content.
* Option B only affects the timeout for health check responses, not the delay before they begin.
* Option C is not applicable unless the health check path itself is invalid (which isn't mentioned).
References:
Auto Scaling Health Checks
NEW QUESTION # 574
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. 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.
- D. 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.
Answer: B
Explanation:
Explanation
To reduce the volume of Amazon S3 calls to AWS KMS, use Amazon S3 bucket keys, which are protected encryption keys that are reused for a limited time in Amazon S3. Bucket keys can reduce costs for AWS KMS requests by up to 99%. You can configure a bucket key for all objects in an Amazon S3 bucket, or for a specific object in an Amazon S3 bucket.
https://docs.aws.amazon.com/fr_fr/kms/latest/developerguide/services-s3.html
NEW QUESTION # 575
A company runs a new application as a static website in Amazon S3. The company has deployed the application to a production AWS account and uses Amazon CloudFront to deliver the website. The website calls an Amazon API Gateway REST API. An AWS Lambda function backs each API method.
The company wants to create a CSV report every 2 weeks to show each API Lambda function's recommended configured memory, recommended cost, and the price difference between current configurations and the recommendations. The company will store the reports in an S3 bucket.
Which solution will meet these requirements with the LEAST development time?
- A. Create a Lambda function that extracts metrics data for each API Lambda function from Amazon CloudWatch Logs for the 2-week penod_ Collate the data into tabular format. Store the data as a
_csvfile in an S3 bucket. Create an Amazon Eventaridge rule to schedule the Lambda function to run every 2 weeks. - B. Opt in to AWS Compute Optimizer. Create a Lambda function that calls the ExportLambdaFunctionRecommendatlons operation. Export the _csv file to an S3 bucket. Create an Amazon Eventaridge rule to schedule the Lambda function to run every 2 weeks.
- C. Opt in to AWS Compute Optimizer. Set up enhanced infrastructure metrics. Within the Compute Optimizer console, schedule a job to export the Lambda recommendations to a _csvfile_ Store the file in an S3 bucket every 2 weeks.
- D. Purchase the AWS Business Support plan for the production account. Opt in to AWS Compute Optimizer for AWS Trusted Advisor checks. In the Trusted Advisor console, schedule a job to export the cost optimization checks to a _csvfile_ Store the file in an S3 bucket every 2 weeks.
Answer: B
Explanation:
https://docs.aws.amazon.com/compute-optimizer/latest/APIReference
/API_ExportLambdaFunctionRecommendations.html
NEW QUESTION # 576
A company is planning to migrate an application to AWS. The application runs as a Docker container and uses an NFS version 4 file share.
A solutions architect must design a secure and scalable containerized solution that does not require provisioning or management of the underlying infrastructure.
Which solution will meet these requirements?
- A. Deploy the application containers by using Amazon Elastic Container Service (Amazon ECS) with the Amazon EC2 launch type and auto scaling turned on. Use Amazon Elastic Block Store (Amazon EBS) volumes with Multi-Attach enabled for shared storage. Attach the EBS volumes to ECS container instances. Add the EBS authorization IAM role to an EC2 instance profile.
- B. Deploy the application containers by using Amazon Elastic Container Service (Amazon ECS) with the Fargate launch type. Use Amazon FSx for Lustre for shared storage. Reference the FSx for Lustre file system ID, container mount point, and FSx for Lustre authorization IAM role in the ECS task definition.
- C. Deploy the application containers by using Amazon Elastic Container Service (Amazon ECS) with the Fargate launch type. Use Amazon Elastic File System (Amazon EFS) for shared storage. Reference the EFS file system ID, container mount point, and EFS authorization IAM role in the ECS task definition.
- D. Deploy the application containers by using Amazon Elastic Container Service (Amazon ECS) with the Amazon EC2 launch type and auto scaling turned on. Use Amazon Elastic File System (Amazon EFS) for shared storage. Mount the EFS file system on the ECS container instances. Add the EFS authorization IAM role to the EC2 instance profile.
Answer: C
Explanation:
Explanation
This option uses Amazon Elastic Container Service (Amazon ECS) with the Fargate launch type to deploy the application containers. Amazon ECS is a fully managed container orchestration service that allows running Docker containers on AWS at scale. Fargate is a serverless compute engine for containers that eliminates the need to provision or manage servers or clusters. With Fargate, the company only pays for the resources required to run its containers, which reduces costs and operational overhead. This option also uses Amazon Elastic File System (Amazon EFS) for shared storage. Amazon EFS is a fully managed file system that provides scalable, elastic, concurrent, and secure file storage for use with AWS cloud services. Amazon EFS supports NFS version 4 protocol, which is compatible with the application's requirements. To use Amazon EFS with Fargate containers, the company needs to reference the EFS file system ID, container mount point, and EFS authorization IAM role in the ECS task definition.
NEW QUESTION # 577
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