AWS-SOLUTIONS-ARCHITECT-PROFESSIONAL REAL TESTING ENVIRONMENT | AWS-SOLUTIONS-ARCHITECT-PROFESSIONAL VALID BRAINDUMPS QUESTIONS

AWS-Solutions-Architect-Professional Real Testing Environment | AWS-Solutions-Architect-Professional Valid Braindumps Questions

AWS-Solutions-Architect-Professional Real Testing Environment | AWS-Solutions-Architect-Professional Valid Braindumps Questions

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To be eligible to take the AWS-Solutions-Architect-Professional exam, candidates must have already obtained the AWS Certified Solutions Architect - Associate certification, and have at least two years of hands-on experience designing and deploying scalable, distributed systems on AWS. AWS-Solutions-Architect-Professional exam consists of 75 multiple-choice and multiple-response questions, and test-takers have 180 minutes to complete it. AWS-Solutions-Architect-Professional exam is available in English, Japanese, Korean, and Simplified Chinese.

The AWS Certified Solutions Architect - Professional certification exam is a highly regarded credential for IT professionals looking to validate their expertise in designing and deploying scalable, fault-tolerant, and highly available systems on the Amazon Web Services (AWS) platform. AWS-Solutions-Architect-Professional Exam Tests the knowledge and skills required to design and deploy dynamically scalable, highly available, fault-tolerant, and reliable applications on AWS.

The Amazon AWS-Solutions-Architect-Professional exam is composed of multiple-choice and multiple-answer questions, and it covers a variety of topics related to AWS architecture and services. These topics include designing and deploying scalable, highly available, and fault-tolerant systems, selecting the appropriate AWS services for specific scenarios, migrating complex multi-tier applications to AWS, and implementing cost control strategies.

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Amazon AWS Certified Solutions Architect - Professional Sample Questions (Q139-Q144):

NEW QUESTION # 139
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 Firehouse to save data to Amazon S3.
    Use AWS Batch to perform nightly processing with a Spot market bid of 50% of the On-Demand price.
  • B. Update the ingestion process to use a fleet of EC2 Reserved Instances behind a Network Load Balancer with 3-year leases. Use Batch with Spot instances with a maximum bid of 50% of the On- Demand price for the nightly processing.
  • C. Update the ingestion process to use Amazon Kinesis Data Firehose to save data to Amazon S3.
    Use a fleet of On-Demand EC2 instances that launches each night to perform the batch processing of the S3 data and terminates when the processing completes.
  • D. Update the ingestion process to use Amazon Kinesis Data Firehose to save data to Amazon Redshift.
    Use an AWS Lambda function scheduled to run nightly with Amazon CloudWatch Events to query Amazon Redshift to generate the daily statistics.

Answer: A

Explanation:
A: On demand instances is more expensive.
B: Since the analysis is not mission critical and can be restarted, spot instances is cheaper.
C: EC2 is more expensive.
D: Compared to B Lambda should be cheaper to Batch using spot instances which ultimately still charges based on EC2 pricing. But critical thing is Lambda cannot go beyond 15 minutes of execution time. So it is more for simple processing and in this case it is not. It takes 4 hours.
https://www.simform.com/aws-lambda-vs-ec2/
https://aws.amazon.com/about-aws/whats-new/2018/10/aws-lambda-supports-functions-that-can- run-up-to-15-minutes/
https://aws.amazon.com/batch/faqs/?nc=sn&loc=5


NEW QUESTION # 140
A large company is running a popular web application. The application runs on several Amazon EC2 Linux Instances in an Auto Scaling group in a private subnet. An Application Load Balancer is targeting the Instances In the Auto Scaling group in the private subnet. AWS Systems Manager Session Manager Is configured, and AWS Systems Manager Agent is running on all the EC2 instances.
The company recently released a new version of the application Some EC2 instances are now being marked as unhealthy and are being terminated As a result, the application is running at reduced capacity A solutions architect tries to determine the root cause by analyzing Amazon CloudWatch logs that are collected from the application, but the logs are inconclusive How should the solutions architect gain access to an EC2 instance to troubleshoot the issue1?

  • A. Suspend the Auto Scaling group's HealthCheck scaling process. Use Session Manager to log in to an instance that is marked as unhealthy
  • B. Suspend the Auto Scaling group's Terminate process. Use Session Manager to log in to an instance that is marked as unhealthy
  • C. Set the termination policy to Oldestinstance on the Auto Scaling group. Use Session Manager to log in to an instance that is marked as unhealthy
  • D. Enable EC2 instance termination protection Use Session Manager to log In to an instance that is marked as unhealthy.

Answer: A


NEW QUESTION # 141
A company has 150 TB of archived image data stored on-premises that needs to be moved to the AWS Cloud within the next month. The company's current network connection allows up to 100 Mbps uploads for this purpose during the night only.
What is the MOST cost-effective mechanism to move this data and meet the migration deadline?

  • A. Create an Amazon S3 VPC endpoint and establish a VPN to upload the data.
  • B. Use AWS Snowmobile to ship the data to AWS.
  • C. Enable Amazon S3 Transfer Acceleration and securely upload the data.
  • D. Order multiple AWS Snowball devices to ship the data to AWS.

Answer: D


NEW QUESTION # 142
A company deployed a three-tier web application in two regions: us-east-1 and eu-west-1. The application must be active in both regions at the same time. The database tier of the application uses a single Amazon RDS Aurora database globally, with a master in us-east-1 and a read replica in eu-west-1. Both regions are connected by a VPN.
The company wants to ensure that the application remains available even in the event of a region-level failure of all of the application's components. It is acceptable for the application to be in read-only mode for up to 1 hour. The company plans to configure two Amazon Route 53 record sets, one for each of the regions.
How should the company complete the configuration to meet its requirements while providing the lowest latency for the application end-users? (Choose two.)

  • A. Use failover routing and configure the us-east-1 record set as primary and the eu-west-1 record set as secondary. Configure an HTTP health check for the web application in us-east-1, and associate it to the us-east-1 record set.
  • B. Configure an Amazon CloudWatch alarm for the health checks in us-east-1, and have it invoke an AWS Lambda function that promotes the read replica in eu-west-1.
  • C. Use latency-based routing for both record sets. Configure a health check for each region and attach it to the record set for that region.
  • D. Configure an Amazon RDS event notifications to react to the failure of the database in us-east-1 by invoking an AWS Lambda function that promotes the read replica in eu-west-1.
  • E. Use weighted routing and configure each record set with a weight of 50. Configure an HTTP health check for each region, and attach it to the record set for that region.

Answer: C,D

Explanation:
Explanation
https://docs.aws.amazon.com/lambda/latest/dg/services-rds.html


NEW QUESTION # 143
A company has a web application that allows users to upload short videos. The videos are stored on Amazon EBS volumes and analyzed by custom recognition software for categorization.
The website contains static content that has variable traffic with peaks in certain months. The architecture consists of Amazon EC2 instances running in an Auto Scaling group for the web application and EC2 instances running in an Auto Scaling group to process an Amazon SQS-queue. The company wants to re-architect the application to reduce operational overhead using AWS managed services where possible and remove dependencies on third-party software.
Which solution meets these requirements?

  • A. Store the uploaded videos in Amazon EFS and mount the file system to the EC2 instances for the web application Process the SQS queue with an AWS lambda function that calls the Amazon Rekognition API to categorize the videos.
  • B. Use Amazon ECS containers for the web application and Spot instances for the Scaling group that processes the SQS queue. Replace the custom software with Amazon Rekognition to categorize the videos.
  • C. Use AWS Elastic Beanstalk to launch EC2 instances in an Auto Scaling group for the application and launch a worker environment to process the SQS queue. Replace the custom software with Amazon Rekognition to categories the videos.
  • D. Hosts the web application in Amazon S3. Store the uploaded videos in Amazon S3. Use S3 event notification to publish events to the SQS queue. Process the SQS queue with an AWS Lambda function that call the Amazon Rekognition API to categorize the videos.

Answer: C


NEW QUESTION # 144
......

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