An e-commerce company is running a web application in an AWS Elastic Beanstalk environment. In recent months, the average load of the Amazon EC2 instances has been increased to handle more traffic.
The company would like to improve the scalability and resilience of the environment. The Development team has been asked to decouple long-running tasks from the environment if the tasks can be executed asynchronously. Examples of these tasks include confirmation emails when users are registered to the platform, and processing images or videos. Also, some of the periodic tasks that are currently running within the web server should be offloaded.
What is the most time-efficient and integrated way to achieve this?

• A.Create a second Elastic Beanstalk web server tier environment and deploy the application to process the asynchronous tasks. Send the tasks that should be decoupled from the original Elastic Beanstalk web server to the auto-generated Amazon SQS queue by the Elastic Beanstalk web server tier environment.
  Place a cron.yaml file within the root of the application source bundle for the second web server tier environment with the necessary periodic tasks. Use environment links to link both web server environments.
• B.Create an Amazon SQS queue and send the tasks that should be decoupled from the Elastic Beanstalk web server environment to the SQS queue. Create a fleet of EC2 instances under an Auto Scaling group.
  Install and configure the application to listen for messages within the SQS queue from UserData and create periodic tasks by placing those into the cron in the operating system. Create an environment variable within the Elastic Beanstalk web server environment with a value pointing to the SQS queue endpoint.
• C.Create an Amazon SQS queue and send the tasks that should be decoupled from the Elastic Beanstalk web server environment to the SQS queue. Create a fleet of EC2 instances under an Auto Scaling group.
  Use an AMI that contains the application to process the asynchronous tasks, configure the application to listen for messages within the SQS queue, and create periodic tasks by placing those into the cron in the operating system. Create an environment variable within the Elastic Beanstalk environment with a value pointing to the SQS queue endpoint.
• D.Create a second Elastic Beanstalk worker tier environment and deploy the application to process the asynchronous tasks there. Send the tasks that should be decoupled from the original Elastic Beanstalk web server environment to the auto-generated Amazon SQS queue by the Elastic Beanstalk worker environment. Place a cron.yaml file within the root of the application source bundle for the worker environment periodic tasks. Use environment links to link the web server environment with the worker environment.

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Management has reported an increase in the monthly bill from Amazon web services, and they are extremely concerned with this increased cost.
Management has asked you to determine the exact cause of this increase.
After reviewing the billing report, you notice an increase in the data transfer cost.
How can you provide management with a better insight into data transfer use?

• A.Deliver custom metrics to Amazon CloudWatch per application that breaks down application data transfer into multiple, more specific data points.
• B.Use Amazon CloudWatch Logs to run a map-reduce on your logs to determine high usage and data transfer.
• C.Using Amazon CloudWatch metrics, pull your Elastic Load Balancing outbound data transfer metrics monthly, and include them with your billing report to show which application is causing higher bandwidth usage.
• D.Update your Amazon CloudWatch metrics to use five-second granularity, which will give better detailed metrics that can be combined with your billing data to pinpoint anomalies.

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A government agency has multiple AWS accounts, many of which store sensitive citizen information. A Security team wants to detect anomalous account and network activities (such as SSH brute force attacks) in any account and centralize that information in a dedicated security account. Event information should be stored in an Amazon S3 bucket in the security account, which is monitored by the department's Security Information and Even Manager (SIEM) system. How can this be accomplished?

• A.Enable Amazon Macie in every account. Configure the security account as the Macie Administrator for every member account using invitation/acceptance. Create an Amazon CloudWatch Events rule in the security account to send all findings to Amazon Kinesis Data Firehouse, which should push the findings to the S3 bucket.
• B.Enable Amazon Macie in the security account only. Configure the security account as the Macie Administrator for every member account using invitation/ acceptance. Create an Amazon CloudWatch Events rule in the security account to send all findings to Amazon Kinesis Data Streams. Write and application using KCL to read data from the Kinesis Data Streams and write to the S3 bucket.
• C.Enable Amazon GuardDuty in every account. Configure the security account as the GuardDuty Administrator for every member account using invitation/ acceptance. Create an Amazon CloudWatch rule in the security account to send all findings to Amazon Kinesis Data Firehouse, which will push the findings to the S3 bucket.
• D.Enable Amazon GuardDuty in the security account only. Configure the security account as the GuardDuty Administrator for every member account using invitation/acceptance. Create an Amazon CloudWatch rule in the security account to send all findings to Amazon Kinesis Data Streams. Write and application using KCL to read data from Kinesis Data Streams and write to the S3 bucket.

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After reviewing the last quarter's monthly bills, management has noticed an increase in the overall bill from Amazon. After researching this increase in cost, you discovered that one of your new services is doing a lot of GET Bucket API calls to Amazon S3 to build a metadata cache of all objects in the applications bucket. Your boss has asked you to come up with a new cost-effective way to help reduce the amount of these new GET Bucket API calls. What process should you use to help mitigate the cost?

• A.Update your Amazon S3 buckets' lifecycle policies to automatically push a list of objects to a new bucket, and use this list to view objects associated with the application's bucket.
• B.Create a new DynamoDB table. Use the new DynamoDB table to store all metadata about all objects uploaded to Amazon S3. Any time a new object is uploaded, update the application's internal Amazon S3 object metadata cache from DynamoDB.
  C Using Amazon SNS, create a notification on any new Amazon S3 objects that automatical ly updates a new DynamoDB table to store all metadata about the new object. Subscribe the application to the Amazon SNS topic to update its internal Amazon S3 object metadata cache from the DynamoDB table. ^/
• C.Upload all files to an ElastiCache file cache server. Update your application to now read all file metadata from the ElastiCache file cache server, and configure the ElastiCache policies to push all files to Amazon S3 for long-term storage.

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There are a number of ways to purchase compute capacity on AWS. Which orders the price per compute or memory unit from LOW to HIGH (cheapest to most expensive), on average?
A) On-Demand
B) Spot
C) Reserved

• A.A, B, C
• B.C, B, A
• C.B, C, A
• D.A, C, B

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