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Test SAP-C02 Objectives Pdf, SAP-C02 Latest Practice Questions

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These SAP-C02 exam question formats contain real, valid, and updated Amazon SAP-C02 exam questions that will assist you in Amazon AWS Certified Solutions Architect - Professional (SAP-C02) exam preparation and enable you to pass the challenging Amazon SAP-C02 Exam with good scores. The Amazon SAP-C02 questions are prepared by highly experienced professionals and, thus, are kept to the point and concise.

Passing the Amazon SAP-C02 certification exam is a significant achievement for any cloud computing professional. AWS Certified Solutions Architect - Professional (SAP-C02) certification demonstrates an individual's expertise in AWS architecture and provides a competitive edge in the job market. Additionally, certified professionals can expect to earn higher salaries and be considered for more advanced roles within their organizations. Overall, the Amazon SAP-C02 certification is a valuable investment for professionals looking to advance their careers in cloud computing.

The AWS Certified Solutions Architect – Professional certification is a validation of advanced technical skills and experience in designing distributed applications and systems on the AWS platform. The SAP-C02 Exam is the latest version of this certification, which was introduced in 2020. SAP-C02 exam tests candidates on their ability to design and deploy scalable, highly available, fault-tolerant, and secure applications on AWS.

To prepare for the SAP-C02 exam, candidates are encouraged to have hands-on experience designing and deploying complex systems on AWS. AWS offers a range of training and certification resources, including classroom training, online training, and self-paced labs. In addition, there are several third-party training providers that offer courses and study materials specifically tailored to the SAP-C02 exam.

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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q433-Q438):

NEW QUESTION # 433
A company is processing videos in the AWS Cloud by using Amazon EC2 instances in an Auto Scaling group.
It takes 30 minutes to process a video. Several EC2 instances scale in and out depending on the number of videos in an Amazon Simple Queue Service (Amazon SQS) queue.
The company has configured the SQS queue with a redrive policy that specifies a target dead-letter queue and a maxReceiveCount of 1. The company has set the visibility timeout for the SQS queue to 1 hour. The company has set up an Amazon CloudWatch alarm to notify the development team when there are messages in the dead-letter queue.
Several times during the day, the development team receives notification that messages are in the dead-letter queue and that videos have not been processed properly. An investigation finds no errors in the application logs.
How can the company solve this problem?

A. Update the redrive policy and set maxReceiveCount to 0.
B. Turn on termination protection for the EC2 instances.
C. Configure scale-in protection for the instances during processing.
D. Update the visibility timeout for the SOS queue to 3 hours.

Answer: B

NEW QUESTION # 434
A company recently deployed an application on AWS. The application uses Amazon DynamoDB. The company measured the application load and configured the RCUs and WCUs on the DynamoDB table to match the expected peak load. The peak load occurs once a week for a 4-hour period and is double the average load. The application load is close to the average load tor the rest of the week. The access pattern includes many more writes to the table than reads of the table.
A solutions architect needs to implement a solution to minimize the cost of the table.
Which solution will meet these requirements?

A. Configure DynamoDB Accelerator (DAX) in front of the table. Reduce the provisioned read capacity to match the new peak load on the table.
B. Configure on-demand capacity mode for the table.
C. Configure DynamoDB Accelerator (DAX) in front of the table. Configure on-demand capacity mode for the table.
D. Use AWS Application Auto Scaling to increase capacity during the peak period. Purchase reserved RCUs and WCUs to match the average load.

Answer: D

Explanation:
This solution meets the requirements by using Application Auto Scaling to automatically increase capacity during the peak period, which will handle the double the average load. And by purchasing reserved RCUs and WCUs to match the average load, it will minimize the cost of the table for the rest of the week when the load is close to the average.

NEW QUESTION # 435
A company has an application that runs on Amazon EC2 instances in an Amazon EC2 Auto Scaling group. The company uses AWS CodePipeline to deploy the application. The instances that run in the Auto Scaling group are constantly changing because of scaling events.
When the company deploys new application code versions, the company installs the AWS CodeDeploy agent on any new target EC2 instances and associates the instances with the CodeDeploy deployment group. The application is set to go live within the next 24 hours.
What should a solutions architect recommend to automate the application deployment process with the LEAST amount of operational overhead?

A. Configure Amazon EventBridge (Amazon CloudWatch Events) to invoke an AWS Lambda function when a new EC2 instance is launched into the Auto Scaling group. Code the Lambda function to associate the EC2 instances with the CodeDeploy deployment group.
B. Create a new AMI that has the CodeDeploy agent installed. Configure the Auto Scaling group's launch template to use the new AMI. Associate the CodeDeploy deployment group with the Auto Scaling group instead of the EC2 instances.
C. Write a script to suspend Amazon EC2 Auto Scaling operations before the deployment of new code. When the deployment is complete, create a new AMI and configure the Auto Scaling group's launch template to use the new AMI for new launches. Resume Amazon EC2 Auto Scaling operations.
D. Create a new AWS CodeBuild project that creates a new AMI that contains the new code.
Configure CodeBuild to update the Auto Scaling group's launch template to the new AMI. Run an Amazon EC2 Auto Scaling instance refresh operation.

Answer: B

Explanation:
https://docs.aws.amazon.com/codedeploy/latest/userguide/integrations-aws-auto-scaling.html

NEW QUESTION # 436
A company ingests and processes streaming market data. The data rate is constant. A nightly process that calculates aggregate statistics is run, and each execution takes about 4 hours to complete. The statistical analysis is not mission critical to the business, and previous data points are picked up on the next execution if a particular run fails.
The current architecture uses a pool of Amazon EC2 Reserved Instances with 1-year reservations running full time to ingest and store the streaming data in attached Amazon EBS volumes. On-Demand EC2 instances are launched each night to perform the nightly processing, accessing the stored data from NFS shares on the ingestion servers, and terminating the nightly processing servers when complete. The Reserved Instance reservations are expiring, and the company needs to determine whether to purchase new reservations or implement a new design.
Which is the most cost-effective design?

A. Update the ingestion process to use Amazon Kinesis Data Firehose to save data to Amazon S3. Use a scheduled script to launch a fleet of EC2 On-Demand Instances each night to perform the batch processing of the S3 data. Configure the script to terminate the instances when the processing is complete.
B. Update the ingestion process to use Amazon Kinesis Data Firehose to save data to Amazon Redshift.
Use Amazon EventBridge to schedule an AWS Lambda function to run nightly to query Amazon Redshift to generate the daily statistics.
C. Update the ingestion process to use a fleet of EC2 Reserved Instances with 3-year reservations behind a Network Load Balancer. Use AWS Batch with Spot Instances to perform nightly processing with a maximum Spot price that is 50% of the On-Demand price.
D. Update the ingestion process to use Amazon Kinesis Data Firehose to save data to Amazon S3. Use AWS Batch with Spot Instances to perform nightly processing with a maximum Spot price that is 50% of the On-Demand price.

Answer: D

Explanation:
Updating the ingestion process to use Amazon Kinesis Data Firehose to save data to Amazon S3 will reduce the need for EC2 instances and EBS volumes for data storage1. Using AWS Batch with Spot Instances to perform nightly processing will leverage the cost savings of Spot Instances, which are up to 90% cheaper than On-Demand Instances2. AWS Batch will also handle the scheduling and scaling of the processing jobs. Setting the maximum Spot price to 50% of the On-Demand price will reduce the chances of interruption and ensure that the processing is cost-effective.

NEW QUESTION # 437
A company has an application that runs as a ReplicaSet of multiple pods in an Amazon Elastic Kubernetes Service (Amazon EKS) cluster. The EKS cluster has nodes in multiple Availability Zones. The application generates many small files that must be accessible across all running instances of the application. The company needs to back up the files and retain the backups for 1 year.
Which solution will meet these requirements while providing the FASTEST storage performance?

A. Create an Amazon S3 bucket. Configure the ReplicaSet to mount the S3 bucket. Direct the application to store files in the S3 bucket. Configure S3 Versioning to retain copies of the data. Configure an S3 Lifecycle policy to delete objects after 1 year.
B. Create an Amazon Elastic Block Store (Amazon EBS) volume. Enable the EBS Multi-Attach feature.
Configure the ReplicaSet to mount the EBS volume. Direct the application to store files in the EBS volume. Configure AWS Backup to back up and retain copies of the data for 1 year.
C. Create an Amazon Elastic File System (Amazon EFS) file system and a mount target for each subnet that contains nodes in the EKS cluster. Configure the ReplicaSet to mount the file system. Direct the application to store files in the file system. Configure AWS Backup to back up and retain copies of the data for 1 year.
D. Configure the ReplicaSet to use the storage available on each of the running application pods to store the files locally. Use a third-party tool to back up the EKS cluster for 1 year.

Answer: C

Explanation:
In the past, EBS can be attached only to one ec2 instance but not anymore but there are limitations like - it works only on io1/io2 instance types and many others as described here.
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ebs-volumes-multi.html EFS has shareable storage In terms of performance, Amazon EFS is optimized for workloads that require high levels of aggregate throughput and IOPS, whereas EBS is optimized for low-latency, random access I/O operations. Amazon EFS is designed to scale throughput and capacity automatically as your storage needs grow, while EBS volumes can be resized on demand.

NEW QUESTION # 438
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