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Amazon SAP-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Design for new solutions	29%
Continuous improvement for existing solutions	25%
Design solutions for organizational complexity	26%
Accelerate workload migration and modernization	20%

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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q296-Q301):

NEW QUESTION # 296
A company completed a successful Amazon Workspaces proof of concept. They now want to make Workspaceshighly available across two AWS Regions. Workspaces are deployed in the failover Region. A hosted zone is available in Amazon Route 53.
What should the solutions architect do?

A. Create a connection alias in the primary Region. Associate it with the directory in the failover Region.Use Route 53 failover routing with Evaluate Target Health = Yes.
B. Create a connection alias in both Regions. Associate both with a directory in the primary Region. Use a Route 53 multivalue answer routing policy.
C. Create a connection alias in the primary Region. Associate with the directory in the primary Region.
Use Route 53 weighted routing.
D. Create a connection alias in the primary Region and in the failover Region. Associate each with a directory in its Region. Create a Route 53 failover routing policy with Evaluate Target Health = Yes.

Answer: D

Explanation:
A is correct because AWS recommends using oneconnection alias per Region, associated witheach directory.
Then, configure a Route 53 failover policy so that if the primary Region becomes unhealthy, users are directed to the failover Region automatically. "Evaluate Target Health" ensures automatic detection and failover.
References:
Amazon Workspaces Cross-Region Resilience
Route 53 Failover Routing

NEW QUESTION # 297
A company has deployed an application to multiple environments in AWS. including production and testing the company has separate accounts for production and testing, and users are allowed to create additional application users for team members or services. as needed. The security team has asked the operations team tor better isolation between production and testing with centralized controls on security credentials and improved management of permissions between environments Which of the following options would MOST securely accomplish this goal?

A. Modify permissions in the production and testing accounts to limit creating new IAM users to members of the operations team Set a strong IAM password policy on each account Create new IAM users and groups in each account to Limit developer access to just the services required to complete their job function.
B. Create a script that runs on each account that checks user accounts For adherence to a security policy.
Disable any user or service accounts that do not comply.
C. Create a new AWS account to hold user and service accounts, such as an identity account Create users and groups m the identity account. Create roles with appropriate permissions in the production and testing accounts Add the identity account to the trust policies for the roles
D. Create all user accounts in the production account Create roles for access in me production account and testing accounts. Grant cross-account access from the production account to the testing account

Answer: C

NEW QUESTION # 298
During an audit, a security team discovered that a development team was putting IAM user secret access keys in their code and then committing it to an AWS CodeCommit repository. The security team wants to automatically find and remediate instances of this security vulnerability.
Which solution will ensure that the credentials are appropriately secured automatically?

A. Use a scheduled AWS Lambda function to download and scan the application code from CodeCommit. If credentials are found, generate new credentials and store them in AWS KMS.
B. Configure a CodeCommit trigger to invoke an AWS Lambda function to scan new code submissions for credentials. If credentials are found, disable them in AWS IAM and notify the user.
C. Configure Amazon Macie to scan for credentials in CodeCommit repositories. If credentials are found, trigger an AWS Lambda function to disable the credentials and notify the user.
D. Run a script nightly using AWS Systems Manager Run Command to search for credentials on the development instances. If found, use AWS Secrets Manager to rotate the credentials

Answer: B

Explanation:
https://aws.amazon.com/blogs/compute/discovering-sensitive-data-in-aws-codecommit-with-aws- lambda-2/

NEW QUESTION # 299
A life sciences company is using a combination of open source tools to manage data analysis workflows and Docker containers running on servers in its on-premises data center to process genomics data Sequencing data is generated and stored on a local storage area network (SAN), and then the data is processed. The research and development teams are running into capacity issues and have decided to re-architect their genomics analysis platform on AWS to scale based on workload demands and reduce the turnaround time from weeks to days The company has a high-speed AWS Direct Connect connection Sequencers will generate around 200 GB of data for each genome, and individual jobs can take several hours to process the data with ideal compute capacity. The end result will be stored in Amazon S3. The company is expecting 10-15 job requests each day Which solution meets these requirements?

A. Use an AWS Storage Gateway file gateway to transfer the sequencing data to Amazon S3 Use S3 events to trigger an AWS Batch job that runs on Amazon EC2 instances running the Docker containers to process the data
B. Use regularly scheduled AWS Snowball Edge devices to transfer the sequencing data into AWS When AWS receives the Snowball Edge device and the data is loaded into Amazon S3 use S3 events to trigger an AWS Lambda function to process the data
C. Use AWS Data Pipeline to transfer the sequencing data to Amazon S3 Use S3 events to trigger an Amazon EC2 Auto Scaling group to launch custom-AMI EC2 instances running the Docker containers to process the data
D. Use AWS DataSync to transfer the sequencing data to Amazon S3 Use S3 events to trigger an AWS Lambda function that starts an AWS Step Functions workflow Store the Docker images in Amazon Elastic Container Registry (Amazon ECR) and trigger AWS Batch to run the container and process the sequencing data

Answer: D

Explanation:
AWS DataSync can be used to transfer the sequencing data to Amazon S3, which is a more efficient and faster method than using Snowball Edge devices. Once the data is in S3, S3 events can trigger an AWS Lambda function that starts an AWS Step Functions workflow. The Docker images can be stored in Amazon Elastic Container Registry (Amazon ECR) and AWS Batch can be used to run the container and process the sequencing data.

NEW QUESTION # 300
A financial services company runs a complex, multi-tier application on Amazon EC2 instances and AWS Lambda functions. The application stores temporary data in Amazon S3. The S3 objects are valid for only 45 minutes and are deleted after 24 hours.
The company deploys each version of the application by launching an AWS CloudFormation stack. The stack creates all resources that are required to run the application. When the company deploys and validates a new application version, the company deletes the CloudFormation stack of the old version.
The company recently tried to delete the CloudFormation stack of an old application version, but the operation failed. An analysis shows that CloudFormation failed to delete an existing S3 bucket. A solutions architect needs to resolve this issue without making major changes to the application's architecture.
Which solution meets these requirements?

A. Modify the CloudFormation stack to create an S3 Lifecycle rule that expires all objects 45 minutes after creation. Add a DependsOn attribute that points to the S3 bucket's resource.
B. Implement a Lambda function that deletes all files from a given S3 bucket. Integrate this Lambda function as a custom resource into the CloudFormation stack. Ensure that the custom resource has a DependsOn attribute that points to the S3 bucket's resource.
C. Modify the CloudFormation template to provision an Amazon Elastic File System (Amazon EFS) file system to store the temporary files there instead of in Amazon S3. Configure the Lambda functions to run in the same VPC as the file system. Mount the file system to the EC2 instances and Lambda functions.
D. Modify the CloudFormation stack to attach a DeletionPolicy attribute with a value of Delete to the S3 bucket.

Answer: D

Explanation:
This option allows the solutions architect to use a DeletionPolicy attribute to specify how AWS CloudFormation handles the deletion of an S3 bucket when the stack is deleted1. By setting the value of Delete, the solutions architect can instruct CloudFormation to delete the bucket and all of itscontents1. This option does not require any major changes to the application's architecture or any additional resources.
Deletion policies

NEW QUESTION # 301
......

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