Free AWS-CERTIFIED-SYSOPS-ADMINISTRATOR-ASSOCIATE Amazon AWS-CERTIFIED-SYSOPS-ADMINISTRATOR-ASSOCIATE Practice Test Question

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Showing 37–39 of 48 questions

Question 37 (Topic 1)

ASysOps administrator configures an application to run on Amazon EC2 instances behind an Application Load Balancer (ALB) in a simple scaling Auto Scaling group with the default settings. The Auto Scaling group is configured to use the RequestCountPerTarget metric for scaling. The SysOps administrator notices that the RequestCountPerTarget metric exceeded the specified limit twice in 180 seconds. How will the number of EC2 instances in this Auto Scaling group be affected in this scenario?

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  • The Auto Scaling group will launch an additional EC2 instance every time the RequestCountPerTarget metric exceeds the predefined limit.
  • The Auto Scaling group will launch one EC2 instance and will wait for the default cooldown period before launching another instance.
  • The Auto Scaling group will send an alert to the ALB to rebalance the traffic and not add new EC2 instances until the load is normalized.
  • The Auto Scaling group will try to distribute the traffic among all EC2 instances before launching another instance.
Question 38 (Topic 1)

A company runs its entire suite of applications on Amazon EC2 instances. The company plans to move the applications to containers and AWS Fargate. Within 6 months, the company plans to retire its EC2 instances and use only Fargate. The company has been able to estimate its future Fargate costs. A SysOps administrator needs to choose a purchasing option to help the company minimize costs. The SysOps administrator must maximize any discounts that are available and must ensure that there are no unused reservations. Which purchasing option will meet these requirements?

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  • Compute Savings Plans for 1 year with the No Upfront payment option
  • Compute Savings Plans for 1 year with the Partial Upfront payment option
  • EC2 Instance Savings Plans for 1 year with the All Upfront payment option
  • EC2 Reserved Instances for 1 year with the Partial Upfront payment option
Question 39 (Topic 1)

A manufacturing company uses an Amazon RDS DB instance to store inventory of all stock items. The company maintains several AWS Lambda functions that interact with the database to add, update, and delete items. The Lambda functions use hardcoded credentials to connect to the database. A SysOps administrator must ensure that the database credentials are never stored in plaintext and that the password is rotated every 30 days. Which solution will meet these requirements in the MOST operationally efficient manner?

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  • Store the database password as an environment variable for each Lambda function. Create a new Lambda function that is named PasswordRotate. Use Amazon EventBridge to schedule the PasswordRotate function every 30 days to change the database password and update the environment variable for each Lambda function.
  • Use AWS Key Management Service (AWS KMS) to encrypt the database password and to store the encrypted password as an environment variable for each Lambda function. Grant each Lambda function access to the KMS key so that the database password can be decrypted when required. Create a new Lambda function that is named PasswordRotate to change the password every 30 days.
  • Use AWS Secrets Manager to store credentials for the database. Create a Secrets Manager secret, and select the database so that Secrets Manager will use a Lambda function to update the database password automatically. Specify an automatic rotation schedule of 30 days. Update each Lambda function to access the database password from Secrets Manager.
  • Use AWS Systems Manager Parameter Store to create a secure string to store credentials for the database. Create a new Lambda function called PasswordRotate. Use Amazon EventBridge to schedule the PasswordRotate function every 30 days to change the database password and to update the secret within Parameter Store. Update each Lambda function to access the database password from Parameter Store.