SOA-C02 AWS Certified SysOps Administrator – Associate Exam (SOA-C02) - AWS

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Sample SOA-C02 Exam Questions & Explanations

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Question #1 Verified Q&A
[Security and Compliance] A Sysops administrator creates an Amazon Elastic Kubernetes Service (Amazon EKS) cluster that uses AWS Fargate. The cluster is deployed successfully. The Sysops administrator needs to manage the cluster by using the kubect1 command line tool.<br />
<br />
Which of the following must be configured on the Sysops administrator's machine so that kubect1 can communicate with the cluster API server?
A The Fargate profile
B The eks-connector.yaml file
C The kube-proxy Amazon EKS add-on
D The kubeconfig file
Correct Answer: The kubeconfig file
Explanation:
The kubeconfig file is a configuration file used to store cluster authentication information, which is required to make requests to the Amazon EKS cluster API server. The kubeconfig file will need to be configured on the SysOps administrator's machine in order for kubectl to be able to communicate with the cluster API server. https://aws.amazon.com/blogs/developer/running-a-kubernetes-job-in-amazon-eks-on-aws-fargate- using-aws-stepfunctions/
Question #1 Verified Q&A
[Security and Compliance] A Sysops administrator creates an Amazon Elastic Kubernetes Service (Amazon EKS) cluster that uses AWS Fargate. The cluster is deployed successfully. The Sysops administrator needs to manage the cluster by using the kubect1 command line tool.<br />
<br />
Which of the following must be configured on the Sysops administrator's machine so that kubect1 can communicate with the cluster API server?
A The Fargate profile
B The kubeconfig file
C The eks-connector.yaml file
D The kube-proxy Amazon EKS add-on
Correct Answer: The kubeconfig file
Explanation:
The kubeconfig file is a configuration file used to store cluster authentication information, which is required to make requests to the Amazon EKS cluster API server. The kubeconfig file will need to be configured on the SysOps administrator's machine in order for kubectl to be able to communicate with the cluster API server. https://aws.amazon.com/blogs/developer/running-a-kubernetes-job-in-amazon-eks-on-aws-fargate- using-aws-stepfunctions/
Question #2 Verified Q&A
[Security and Compliance] A Sysops administrator needs to configure automatic rotation for Amazon RDS database credentials. The credentials must rotate every 30 days. The solution must integrate with Amazon RDS.<br />
<br />
Which solution will meet these requirements with the LEAST operational overhead?
A Store the credentials in AWS Secrets Manager. Configure automatic rotation with a rotation interval of 30 days.
B Store the credentials in AWS Systems Manager Parameter Store as a secure string. Configure automatic rotation with a rotation interval of 30 days.
C Store the credentials in AWS Secrets Manager. Deploy an AWS Lambda function to automatically rotate the credentials every 30 days.
D Store the credentials in a file in an Amazon S3 bucket. Deploy an AWS Lambda function to automatically rotate the credentials every 30 days.
Correct Answer: Store the credentials in AWS Secrets Manager. Configure automatic rotation with a rotation interval of 30 days.
Explanation:
Storing the credentials in AWS Secrets Manager and configuring automatic rotation with a rotation interval of 30 days is the most efficient way to meet the requirements with the least operational overhead. AWS Secrets Manager automatically rotates the credentials at the specified interval, so there is no need for an additional AWS Lambda function or manual rotation. Additionally, Secrets Manager is integrated with Amazon RDS, so the credentials can be easily used with the RDS database.
Question #2 Verified Q&A
[Security and Compliance] A Sysops administrator needs to configure automatic rotation for Amazon RDS database credentials. The credentials must rotate every 30 days. The solution must integrate with Amazon RDS.<br />
<br />
Which solution will meet these requirements with the LEAST operational overhead?
A Store the credentials in a file in an Amazon S3 bucket. Deploy an AWS Lambda function to automatically rotate the credentials every 30 days.
B Store the credentials in AWS Systems Manager Parameter Store as a secure string. Configure automatic rotation with a rotation interval of 30 days.
C Store the credentials in AWS Secrets Manager. Deploy an AWS Lambda function to automatically rotate the credentials every 30 days.
D Store the credentials in AWS Secrets Manager. Configure automatic rotation with a rotation interval of 30 days.
Correct Answer: Store the credentials in AWS Secrets Manager. Configure automatic rotation with a rotation interval of 30 days.
Explanation:
Storing the credentials in AWS Secrets Manager and configuring automatic rotation with a rotation interval of 30 days is the most efficient way to meet the requirements with the least operational overhead. AWS Secrets Manager automatically rotates the credentials at the specified interval, so there is no need for an additional AWS Lambda function or manual rotation. Additionally, Secrets Manager is integrated with Amazon RDS, so the credentials can be easily used with the RDS database.
Question #3 Verified Q&A
[Deployment, Provisioning, and Automation] A company has an application that runs only on Amazon EC2 Spot Instances. The instances run in an Amazon EC2 Auto Scaling group with scheduled scaling actions. However, the capacity does not always increase at the scheduled times, and instances terminate many times a day. A Sysops administrator must ensure that the instances launch on time and have fewer interruptions.<br />
<br />
Which action will meet these requirements?
A Specify the capacity-optimized allocation strategy for Spot Instances. Increase the size of the instances in the Auto Scaling group.
B Specify the capacity-optimized allocation strategy for Spot Instances. Add more instance types to the Auto Scaling group.
C Specify the lowest-price allocation strategy for Spot Instances. Increase the size of the instances in the Auto Scaling group.
D Specify the lowest-price allocation strategy for Spot Instances. Add more instance types to the Auto Scaling group.
Correct Answer: Specify the capacity-optimized allocation strategy for Spot Instances. Add more instance types to the Auto Scaling group.
Explanation:
Specifying the capacity-optimized allocation strategy for Spot Instances and adding more instance types to the Auto Scaling group is the best action to meet the requirements. Increasing the size of the instances in the Auto Scaling group will not necessarily help with the launch time or reduce interruptions, as the Spot Instances could still be interrupted even with larger instance sizes.

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Our SOA-C02 (SOA-C02 AWS Certified SysOps Administrator – Associate Exam) practice question bank currently includes 1109 verified questions with comprehensive explanations.
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The SOA-C02 (SOA-C02 AWS Certified SysOps Administrator – Associate Exam) question bank is built to mirror the real exam's format and topics, with detailed explanations for every answer so you understand the reasoning — not just memorize responses.
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