SAP-C02 Latest Exam Experience & SAP-C02 Latest Braindumps Ppt
SAP-C02 Latest Exam Experience & SAP-C02 Latest Braindumps Ppt
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The SAP-C02 certification is an excellent way for professionals to demonstrate their advanced skills and expertise in designing and deploying complex systems on AWS. It is highly valued by employers and recognized by AWS as a requirement for several advanced AWS partner programs. With the right preparation and training, candidates can successfully pass the SAP-C02 Exam and take their AWS skills and expertise to the next level.
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Amazon SAP-C02 certification exam is designed to test the skills and knowledge of professionals who are seeking advanced-level certification as an AWS Solutions Architect. AWS Certified Solutions Architect - Professional (SAP-C02) certification is ideal for those who have already obtained the AWS Certified Solutions Architect - Associate certification and want to take their expertise to the next level. The SAP-C02 exam is designed to test candidates on their ability to design and deploy highly scalable, fault-tolerant, and secure applications on AWS.
The SAP-C02 Exam Tests candidates' skills in designing and deploying AWS solutions at scale, including designing and deploying multi-tier applications, designing and deploying highly available and fault-tolerant systems, and designing and deploying secure and compliant AWS solutions. SAP-C02 exam also covers advanced topics such as designing and deploying AWS services for data management, designing and deploying AWS services for networking, and designing and deploying AWS services for security and compliance.
Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q60-Q65):
NEW QUESTION # 60
A solutions architect needs to define a reference architecture for a solution for three-tier applications with web. application, and NoSQL data layers. The reference architecture must meet the following requirements:
- High availability within an AWS Region
- Able to fail over in 1 minute to another AWS Region for disaster
recovery
- Provide the most efficient solution while minimizing the impact on
the user experience
Which combination of steps will meet these requirements? (Choose three.)
- A. Use Auto Scaling groups for the web and application layers across multiple Availability Zones in the Regions. Use Spot Instances for the required resources.
- B. Use an Amazon Route 53 failover routing policy for failover from the primary Region to the disaster recovery Region. Set Time to Live (TTL) to 30 seconds.
- C. Implement a hot standby model using Auto Scaling groups for the web and application layers across multiple Availability Zones in the Regions. Use zonal Reserved Instances for the minimum number of servers and On-Demand Instances for any additional resources.
- D. Use a global table within Amazon DynamoDB so data can be accessed in the two selected Regions.
- E. Use an Amazon Route 53 weighted routing policy set to 100/0 across the two selected Regions.
Set Time to Live (TTL) to 1 hour. - F. Back up data from an Amazon DynamoDB table in the primary Region every 60 minutes and then write the data to Amazon S3. Use S3 cross-Region replication to copy the data from the primary Region to the disaster recovery Region. Have a script import the data into DynamoDB in a disaster recovery scenario.
Answer: B,C,D
NEW QUESTION # 61
A solutions architect must analyze a company's Amazon EC2 Instances and Amazon Elastic Block Store (Amazon EBS) volumes to determine whether the company is using resources efficiently. The company is running several large, high-memory EC2 instances to host database dusters that are deployed in active/passive configurations. The utilization of these EC2 instances varies by the applications that use the databases, and the company has not identified a pattern.
The solutions architect must analyze the environment and take action based on the findings.
Which solution meets these requirements MOST cost-effectively?
- A. Sign up for the AWS Enterprise Support plan.
Turn on AWS Trusted Advisor Wait 12 hours.
Review the recommendations from Trusted Advisor, and rightsize the EC2 instances as directed - B. Install the Amazon CloudWatch agent on each of the EC2 Instances.
Turn on AWS Compute Optimizer, and let it run for at least 12 hours.
Review the recommendations from Compute Optimizer, and rightsize the EC2 instances as directed - C. Create a dashboard by using AWS Systems Manager OpsConter.
Configure visualizations tor Amazon CloudWatch metrics that are associated with the EC2 instances and their EBS volumes.
Review the dashboard periodically and identify usage patterns Rightsize the EC2 instances based on the peaks in the metrics - D. Turn on Amazon CloudWatch detailed monitoring for the EC2 instances and their EBS volumes.
Create and review a dashboard that is based on the metrics.
Identify usage patterns Rightsize the EC2 instances based on the peaks in the metrics
Answer: B
Explanation:
CloudWatch Agent is a software package that autonomously and continuously runs on your servers. Using CloudWatch Agent, we can collect metrics and logs from Amazon Elastic Compute Cloud (Amazon EC2), hybrid, and on-premises servers running both Linux and Windows.
https://aws.amazon.com/compute-optimizer/
NEW QUESTION # 62
A company wants to manage the costs associated with a group of 20 applications that are infrequently used, but are still business-critical, by migrating to AWS. The applications are a mix of Java and Node.js spread across different instance clusters. The company wants to minimize costs while standardizing by using a single deployment methodology.
Most of the applications are part of month-end processing routines with a small number of concurrent users, but they are occasionally run at other times Average application memory consumption is less than 1 GB. though some applications use as much as 2.5 GB of memory during peak processing. The most important application in the group is a billing report written in Java that accesses multiple data sources and often runs for several hours.
Which is the MOST cost-effective solution?
- A. Deploy Amazon ECS containers on Amazon EC2 with Auto Scaling configured for memory utilization of 75%. Deploy an ECS task for each application being migrated with ECS task scaling. Monitor services and hosts by using Amazon CloudWatch.
- B. Deploy AWS Elastic Beanstalk for each application with Auto Scaling to ensure that all requests have sufficient resources. Monitor each AWS Elastic Beanstalk deployment by using CloudWatch alarms.
- C. Deploy a separate AWS Lambda function tor each application. Use AWS CloudTrail logs and Amazon CloudWatch alarms to verify completion of critical jobs.
- D. Deploy a new Amazon EC2 instance cluster that co-hosts all applications by using EC2 Auto Scaling and Application Load Balancers. Scale cluster size based on a custom metric set on instance memory utilization. Purchase 3-year Reserved Instance reservations equal to the GroupMaxSize parameter of the Auto Scaling group.
Answer: A
Explanation:
https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/AWSHowTo.cloudwatch.html Elastic Beanstalk automatically uses Amazon CloudWatch to help you monitor your application and environment status. You can navigate to the Amazon CloudWatch console to see your dashboard and get an overview of all of your resources as well as your alarms. You can also choose to view more metrics or add custom metrics.
NEW QUESTION # 63
A company has a serverless application comprised of Amazon CloudFront, Amazon API Gateway, and AWS Lambda functions. The current deployment process of the application code is to create a new version number of the Lambda function and run an AWS CLI script to update. If the new function version has errors, another CLI script reverts by deploying the previous working version of the function. The company would like to decrease the time to deploy new versions of the application logic provided by the Lambda functions, and also reduce the time to detect and revert when errors are identified.
How can this be accomplished?
- A. Create and deploy nested AWS CloudFormation stacks with the parent stack consisting of the AWS CloudFront distribution and API Gateway, and the child stack containing the Lambda function. For changes to Lambda, create an AWS CloudFormation change set and deploy; if errors are triggered, revert the AWS CloudFormation change set to the previous version.
- B. Use AWS SAM and built-in AWS CodeDeploy to deploy the new Lambda version, gradually shift traffic to the new version, and use pre-traffic and post-traffic test functions to verify code. Rollback if Amazon CloudWatch alarms are triggered.
- C. Create and deploy an AWS CloudFormation stack that consists of a new API Gateway endpoint that references the new Lambda version. Change the CloudFront origin to the new API Gateway endpoint, monitor errors and if detected, change the AWS CloudFront origin to the previous API Gateway endpoint.
- D. Refactor the AWS CLI scripts into a single script that deploys the new Lambda version. When deployment is completed, the script tests execute. If errors are detected, revert to the previous Lambda version.
Answer: B
Explanation:
https://aws.amazon.com/about-aws/whats-new/2017/11/aws-lambda-supports-traffic-shifting-and-phased-deployments-with-aws-codedeploy/
NEW QUESTION # 64
A company is serving files to its customers through an SFTP server that is accessible over the internet. The SFTP server is running on a single Amazon EC2 instance with an Elastic IP address attached. Customers connect to the SFTP server through its Elastic IP address and use SSH for authentication. The EC2 instance also has an attached security group that allows access from all customer IP addresses.
A solutions architect must implement a solution to improve availability, minimize the complexity of infrastructure management, and minimize the disruption to customers who access files. The solution must not change the way customers connect.
Which solution will meet these requirements?
- A. Disassociate the Elastic IP address from the EC2 instance. Create an Amazon S3 bucket to be used for SFTP file hosting. Create an AWS Transfer Family server. Configure the Transfer Family server with a VPC-hosted, internet-facing endpoint. Associate the SFTP Elastic IP address with the new endpoint. Attach the security group with customer IP addresses to the new endpoint.
Point the Transfer Family server to the S3 bucket. Sync all files from the SFTP server to the S3 bucket. - B. Disassociate the Elastic IP address from the EC2 instance. Create an Amazon S3 bucket to be used for SFTP file hosting. Create an AWS Transfer Family server. Configure the Transfer Family server with a publicly accessible endpoint. Associate the SFTP Elastic IP address with the new endpoint. Point the Transfer Family server to the S3 bucket. Sync all files from the SFTP server to the S3 bucket.
- C. Disassociate the Elastic IP address from the EC2 instance. Create a multi-attach Amazon Elastic Block Store (Amazon EBS) volume to be used for SFTP file hosting. Create a Network Load Balancer (NLB) with the Elastic IP address attached. Create an Auto Scaling group with EC2 instances that run an SFTP server. Define in the Auto Scaling group that instances that are launched should attach the new multi-attach EBS volume. Configure the Auto Scaling group to automatically add instances behind the NLB. Configure the Auto Scaling group to use the security group that allows customer IP addresses for the EC2 instances that the Auto Scaling group launches. Sync all files from the SFTP server to the new multi-attach EBS volume.
- D. Disassociate the Elastic IP address from the EC2 instance. Create a new Amazon Elastic File System (Amazon EFS) file system to be used for SFTP file hosting. Create an AWS Fargate task definition to run an SFTP server. Specify the EFS file system as a mount in the task definition.
Create a Fargate service by using the task definition, and place a Network Load Balancer (NLB) in front of the service. When configuring the service, attach the security group with customer IP addresses to the tasks that run the SFTP server. Associate the Elastic IP address with the NLB.
Sync all files from the SFTP server to the S3 bucket.
Answer: A
NEW QUESTION # 65
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