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Achieving the AWS Certified SysOps Administrator - Associate (SOA-C02) certification demonstrates a candidate's expertise in managing and deploying applications on AWS and validates their ability to design, deploy, and operate scalable, highly available, and fault-tolerant systems. AWS Certified SysOps Administrator - Associate (SOA-C02) certification is recognized by employers and industry experts as a benchmark of AWS proficiency and can lead to career advancement opportunities and higher salaries. With the growing demand for skilled AWS professionals, the SOA-C02 Certification is a valuable asset for IT professionals looking to enhance their skills and stand out in the job market.

Amazon SOA-C02, also known as the AWS Certified SysOps Administrator - Associate certification exam, is a highly sought-after credential for professionals seeking to validate their knowledge and skills in managing and operating systems on the Amazon Web Services (AWS) platform. AWS Certified SysOps Administrator - Associate (SOA-C02) certification exam is designed for individuals who have a strong understanding of AWS core services and can manage and operate systems on the platform efficiently.

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Amazon AWS Certified SysOps Administrator - Associate (SOA-C02) Sample Questions (Q89-Q94):

NEW QUESTION # 89
A company has a policy that requires all Amazon EC2 instances to have a specific set of tags. If an EC2 instance does not have the required tags, the noncompliant instance should be terminated.
What is the MOST operationally efficient solution that meets these requirements?

A. Create an IAM policy that enforces all EC2 instance tag requirements. If the required tags are not in place for an instance, the policy will terminate noncompliant instance.
B. Create an AWS Lambda function to determine if each EC2 instance is compliant and terminate an instance if it is noncompliant. Schedule the Lambda function to invoke every 5 minutes.
C. Create an Amazon EventBridge (Amazon CloudWatch Events) rule to send all EC2 instance state changes to an AWS Lambda function to determine if each instance is compliant. Terminate any noncompliant instances.
D. Create an AWS Config rule to check if the required tags are present. If an EC2 instance is noncompliant, invoke an AWS Systems Manager Automation document to terminate the instance.

Answer: D

Explanation:
https://docs.aws.amazon.com/systems-manager/latest/userguide/systems-manager-automation.html To ensure all EC2 instances have the required tags and terminate any noncompliant instances, AWS Config can be used to check the compliance, and AWS Systems Manager Automation can be invoked to take action on noncompliant instances.
Create AWS Config Rule:
Open the AWS Config console at AWS Config Console.
Create a new rule to check for the required tags on EC2 instances. Use the managed rule required-tags.
Create AWS Systems Manager Automation Document:
Open the AWS Systems Manager console at AWS Systems Manager Console.
Create an Automation document to terminate noncompliant instances.
Link AWS Config Rule to Automation:
In the AWS Config console, configure the rule to invoke the Systems Manager Automation document if an instance is found to be noncompliant.
Reference:
AWS Config Rules
AWS Systems Manager Automation
AWS Config Managed Rules

NEW QUESTION # 90
An application runs on multiple Amazon EC2 instances in an Auto Scaling group The Auto Scaling group is configured to use the latest version of a launch template A SysOps administrator must devise a solution that centrally manages the application logs and retains the logs for no more than 90 days Which solution will meet these requirements?

A. Update the launch template user data to install and configure the Amazon CloudWatch Logs agent to send logs to a log group Set the log rotation configuration of the EC2 instances to 90 days
B. Update the launch template user data to install and configure the Amazon CloudWatch Logs agent to send logs to a log group Configure the retention period on the log group to be 90 days
C. Launch an Amazon Machine Image (AMI) that is preconfigured with the Amazon CloudWatch Logs agent to send logs to a log group Create an Amazon EventBridge (Amazon CloudWatch Events) scheduled rule to perform an instance refresh every 90 days
D. Launch an Amazon Machine Image (AMI) that is preconfigured with the Amazon CloudWatch Logs agent to send logs to an Amazon S3 bucket Apply a 90-day S3 Lifecycle policy on the S3 bucket to expire the application logs

Answer: B

Explanation:
To centrally manage application logs and retain them for no more than 90 days, you can use the Amazon CloudWatch Logs agent to send logs to a CloudWatch log group and configure the log group's retention period.
Update the Launch Template User Data:
Navigate to the EC2 console.
Select the launch template used by the Auto Scaling group.
Edit the launch template to include the following user data script:
#!/bin/bash
yum update -y
yum install -y awslogs
cat <<EOF > /etc/awslogs/awslogs.conf
[general]
state_file = /var/lib/awslogs/agent-state
[/var/log/messages]
file = /var/log/messages
log_group_name = /my-log-group
log_stream_name = {instance_id}/messages
datetime_format = %b %d %H:%M:%S
[/var/log/secure]
file = /var/log/secure
log_group_name = /my-log-group
log_stream_name = {instance_id}/secure
datetime_format = %b %d %H:%M:%S
EOF
systemctl start awslogsd
systemctl enable awslogsd
Replace /my-log-group with the name of your CloudWatch log group.
Configure the Log Group Retention Period:
Navigate to the CloudWatch console.
In the navigation pane, choose "Logs".
Select the log group created by the CloudWatch Logs agent.
Click on "Actions" and then "Edit retention settings".
Set the retention period to 90 days.
Verify the Configuration:
Ensure that logs from the EC2 instances are being sent to the CloudWatch log group.
Verify that the log group's retention period is correctly set to 90 days.
Reference:
Amazon CloudWatch Logs Agent
Setting Log Retention in CloudWatch

NEW QUESTION # 91
A company is running Amazon EC2 On-Demand Instances in an Auto Scaling group. The instances process messages from an Amazon Simple Queue Service (Amazon SQS) queue. The Auto Scaling group is set to scale based on the number of messages in the queue. Messages can take up to 12 hours to process completely.
A SysOps administrator must ensure that instances are not interrupted during message processing.
What should the SysOps administrator do to meet these requirements?

A. Enable instance scale-in protection for the specific instance in the Auto Scaling group at the start of message processing by calling the Amazon EC2 Auto Scaling API from the processing script. Disable instance scale-in protection after message processing is complete by calling the Amazon EC2 Auto Scaling API from the processing script.
B. Suspend the Launch and Terminate scaling processes for the specific instance in the Auto Scaling group at the start of message processing by calling the Amazon EC2 Auto Scaling API from the processing script. Resume the scaling processes after message processing is complete by calling the Amazon EC2 Auto Scaling API from the processing script.
C. Set the Auto Scaling group's termination policy to OldestInstance.
D. Set the Auto Scaling group's termination policy to OldestLaunchConfiguration.

Answer: A

Explanation:
# Enable instance scale-in protection for specific instance.
aws autoscaling set-instance-protection --instance-ids i-5f2e8a0d --auto-scaling-group-name my-asg -- protected-from-scale-in
# Disable instance scale-in protection for the specified instance.
aws autoscaling set-instance-protection --instance-ids i-5f2e8a0d --auto-scaling-group-name my-asg --no- protected-from-scale-in
https://docs.aws.amazon.com/autoscaling/ec2/userguide/ec2-auto-scaling-instance-protection.html To ensure that EC2 instances in an Auto Scaling group are not interrupted during message processing, the most effective method is to implement scale-in protection for the instances while they are actively processing messages. This can be done programmatically by modifying the Auto Scaling group's settings using the Amazon EC2 Auto Scaling API.
* Starting Message Processing: When an instance begins processing a message, your application should make an API call to enable scale-in protection. This is done using the SetInstanceProtection action, setting the ProtectedFromScaleIn parameter to true for that specific instance.
* Completing Message Processing: Once the message has been processed, another API call should be made to disable scale-in protection. This is done by calling the SetInstanceProtection action again, but this time setting the ProtectedFromScaleIn parameter to false.
This method ensures that while messages are being processed, the instances are not terminated by the Auto Scaling group regardless of any scale-in activities that might be triggered by other parameters like CPU utilization or a decrease in the number of messages in the queue.
AWS Documentation Reference:You can refer to the AWS documentation on managing instance scale-in protection in Auto Scaling groups for more details: Instance Scale-In Protection.

NEW QUESTION # 92
An Amazon EC2 instance needs to be reachable from the internet. The EC2 instance is in a subnet with the following route table:
Which entry must a SysOps administrator add to the route table to meet this requirement?

A. A route for 0.0.0.0/0 that points to an internet gateway
B. A route for 0.0.0.0/0 that points to an egress-only internet gateway
C. A route for 0.0.0.0/0 that points to a NAT gateway
D. A route for 0.0.0.0/0 that points to an elastic network interface

Answer: A

NEW QUESTION # 93
A company is using an Amazon DynamoDB table for data.
A SysOps administrator must configure replication of the table to another AWS Region for disaster recovery.
What should the SysOps administrator do to meet this requirement?

A. Enable point-in-time recovery.
B. Enable DynamoDB Streams, and-add a global table Region.
C. Enable DynamoDB Streams, and add a global secondary index (GSI).
D. Enable DynamoDB Accelerator (DAX).

Answer: B

NEW QUESTION # 94
......

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