Question 1

A company is developing a social media application that must scale to meet demand spikes and handle ordered processes. Which AWS services meet these requirements?

Options :

A : ECS with Fargate, RDS, and SQS for decoupling.

B : ECS with Fargate, RDS, and SNS for decoupling.

C : DynamoDB, Lambda, DynamoDB Streams, and Step Functions.

D : Elastic Beanstalk, RDS, and SNS for decoupling.

Answer: A

Question 2

A company operates an ecommerce website on Amazon EC2 instances behind an Application Load Balancer (ALB) in an Auto Scaling group. The site is experiencing performance issues related to a high request rate from illegitimate external systems with changing IP addresses. The security team is worried about potential DDoS attacks against the website. The company must block the illegitimate incoming requests in a way that has a minimal impact on legitimate users. What should a solutions architect recommend?

Options :

A : Deploy Amazon Inspector and associate it with the ALB.

B : Deploy AWS WAF, associate it with the ALB, and configure a rate-limiting rule.

C :

Deploy rules to the network ACLs associated with the ALB to block the incoming traffic.

D : Deploy Amazon GuardDuty and enable rate-limiting protection when configuring GuardDuty.

Answer: B

Question 3

A company has an AWS Glue extract. transform, and load (ETL) job that runs every day at the same time. The job processes XML data that is in an Amazon S3 bucket. New data is added to the S3 bucket every day. A solutions architect notices that AWS Glue is processing all the data during each run. What should the solutions architect do to prevent AWS Glue from reprocessing old data?

Options :

A : Edit the job to use job bookmarks

B : Edit the job to delete data after the data is processed.

C : Edit the job by setting the NumberOfWorkers field to 1

D : Use a FindMatches machine learning (ML) transform.

Answer: C

Question 4

A company wants to move a multi-tiered application from on premises to the AWS Cloud to improve the application's performance. The application consists of application tiers that communicate with each other by way of RESTful services. Transactions are dropped when one tier becomes overloaded. A solutions architect must design a solution that resolves these issues and modernizes the application. Which solution meets these requirements and is the MOST operationally efficient?

Options :

A :

Use Amazon API Gateway and direct transactions to the AWS Lambda functions as the application layer. Use Amazon Simple Queue Service (Amazon SQS) as the communication layer between application services

B :

Use Amazon CloudWatch metrics to analyze the application performance history to determine the servers' peak utilization during the performance failures. Increase the size of the application server-s Amazon EC2 instances to meet the peak requirements

C :

Use Amazon Simple Notification Service (Amazon SNS) to handle the messaging between application servers running on Amazon EC2 in an Auto Scaling group. Use Amazon CloudWatch to monitor the SNS queue length and scale up and down as required.

D :

Use Amazon Simple Queue Service (Amazon SQS) to handle the messaging between application servers running on Amazon EC2 in an Auto Scaling group. Use Amazon CloudWatch to monitor the SQS queue length and scale up when communication failures are detected

Answer: A

Question 5

A retail website has intermittent, sporadic, and unpredictable transactional workloads throughout the day that are hard to predict. The website is currently hosted on-premises and is slated to be migrated to AWS. A new relational database is needed that autoscales capacity to meet the needs of the application's peak load and scales back down when the surge of activity is over.

Which of the following option is the MOST cost-effective and suitable database setup in this scenario?

Options :

A : Launch a DynamoDB Global table with Auto Scaling enabled.

B : Launch an Amazon Aurora Provisioned DB cluster with burstable performance DB instance class types.

C : Launch an Amazon Aurora Serverless DB cluster then set the minimum and maximum capacity for the cluster.

D : Launch an Amazon Redshift data warehouse cluster with Concurrency Scaling.

Answer: C