SOA-C02 Online Bootcamps - SOA-C02 Exam Lab Questions
SOA-C02 Online Bootcamps - SOA-C02 Exam Lab Questions
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Tags: SOA-C02 Online Bootcamps, SOA-C02 Exam Lab Questions, SOA-C02 Related Certifications, SOA-C02 Valid Test Papers, SOA-C02 Latest Exam Review
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The SOA-C02 Certification Exam is an excellent way for IT professionals to validate their knowledge and skills in managing and deploying applications on the AWS cloud platform. AWS Certified SysOps Administrator - Associate (SOA-C02) certification exam covers a broad range of topics, and passing it can lead to better job opportunities and higher salaries. If you're interested in pursuing a career in AWS, obtaining this certification is an excellent place to start.
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The AWS Certified SysOps Administrator - Associate certification is a valuable credential for IT professionals who work with AWS services. AWS Certified SysOps Administrator - Associate (SOA-C02) certification demonstrates that the individual has a deep understanding of AWS services and can manage and operate complex systems on the AWS platform. In addition, the certification helps individuals advance their careers by demonstrating their technical expertise to employers and clients. Passing the SOA-C02 exam requires a combination of experience, knowledge, and preparation, and individuals who achieve this certification are well-positioned to succeed in the rapidly growing field of cloud computing.
The SOA-C02 Exam is an updated version of the previous SOA-C01 exam, which was retired by AWS on July 1, 2021. The new exam covers the latest AWS services and features, including AWS Organizations, AWS Control Tower, AWS Systems Manager, and AWS Config. It also tests the candidate's ability to monitor and troubleshoot AWS services, as well as their knowledge of security and compliance best practices.
Amazon AWS Certified SysOps Administrator - Associate (SOA-C02) Sample Questions (Q58-Q63):
NEW QUESTION # 58
A company requires that all IAM user accounts that have not been used for 90 days or more must have their access keys and passwords immediately disabled A SysOps administrator must automate the process of disabling unused keys using the MOST operationally efficient method.
How should the SysOps administrator implement this solution?
- A. Create an AWS Step Functions workflow to identify IAM users that have not been active for 90 days Run an AWS Lambda function when a scheduled Amazon EventBridge (Amazon CloudWatch Events) rule is invoked to automatically remove the AWS access keys and passwords for these IAM users
- B. Configure an AWS Config rule to identify IAM users that have not been active for 90 days Set up an automatic weekly batch process on an Amazon EC2 instance to disable the AWS access keys and passwords for these IAM users
- C. Develop and run a Python script on an Amazon EC2 instance to programmatically identify IAM users that have not been active for 90 days Automatically delete these 1AM users
- D. Set up an AWS Config managed rule to identify IAM users that have not been active for 90 days Set up an AWS Systems Manager automation runbook to disable the AWS access keys for these IAM users
Answer: D
Explanation:
To automate the process of disabling unused IAM user accounts that have not been active for 90 days, using an AWS Config managed rule with an AWS Systems Manager automation runbook is the most operationally efficient method.
* Set Up AWS Config Managed Rule:
* Open the AWS Config console.
* Create a rule using the managed rule iam-user-no-policies-check.
* Configure the rule to trigger when IAM users have not been active for 90 days.
* AWS Systems Manager Automation Runbook:
* Create a Systems Manager automation document (runbook) to disable the access keys for inactive IAM users.
* Use the aws:executeAutomation action to disable access keys and passwords.
* Schedule the Automation:
* Use Amazon EventBridge (formerly CloudWatch Events) to schedule the automation to run periodically.
* References:
* AWS Config Managed Rules
* AWS Systems Manager Automation
* Scheduling AWS Systems Manager Automation
NEW QUESTION # 59
A SysOps administrator is provisioning an Amazon Elastic File System (Amazon EFS) file system to provide shared storage across multiple Amazon EC2 instances. The instances all exist in the same VPC across multiple Availability Zones. There are two instances in each Availability Zone.
The SysOps administrator must make the file system accessible to each instance with the lowest possible latency.
Which solution will meet these requirements?
- A. Create a mount target for the EFS file system in one Availability Zone of the VPC.
Use the mount target to mount the file system on the instances in that Availability Zone.
Share the directory with the other instances. - B. Create a mount target for each instance.
Use each mount target to mount the EFS file system on each respective instance. - C. Create a mount target in each Availability Zone of the VPC.
Use the mount target to mount the EFS file system on the instances in the respective Availability Zone. - D. Create a mount target for the EFS file system in the VPC.
Use the mount target to mount the file system on each of the instances.
Answer: C
Explanation:
A mount target provides an IP address for an NFSv4 endpoint at which you can mount an Amazon EFS file system. You mount your file system using its Domain Name Service (DNS) name, which resolves to the IP address of the EFS mount target in the same Availability Zone as your EC2 instance. You can create one mount target in each Availability Zone in an AWS Region.
If there are multiple subnets in an Availability Zone in your VPC, you create a mount target in one of the subnets. Then all EC2 instances in that Availability Zone share that mount target.
https://docs.aws.amazon.com/efs/latest/ug/how-it-works.html
NEW QUESTION # 60
A SysOps administrator creates an AWS CloudFormation template to define an application stack that can be deployed in multiple AWS Regions.
The SysOps administrator also creates an Amazon CloudWatch dashboard by using the AWS Management Console. Each deployment of the application requires its own CloudWatch dashboard.
How can the SysOps administrator automate the creation of the CloudWatch dashboard each time the application is deployed?
- A. Update the CloudFormation template to define an resource. Use the intrinsic Ref function to reference the ID of the existing CloudWatch dashboard.
- B. Export the existing CloudWatch dashboard as JSON. Update the CloudFormation template to define an AWS::CloudWatch::Dashboard resource. Include the exported JSON in the resource's DashboardBody property.
- C. Create a script by using the AWS CLI to run the aws cloudformation put-dashboard command with the name of the dashboard. Run the command each time a new CloudFormation stack is created.
Answer: B
Explanation:
D. Update the CloudFormation template to define an AWS::CloudWatch::Dashboard resource. Specify the name of the existing dashboard in the DashboardName property.
Explanation:
You can only use the Intrinsic Ref function to reference a resource that is being created at the same time as the current CloudFormation template. The question states that the CloudWatch dashboard was previously created using the AWS Management Console, so there is no ID to reference the existing CloudWatch dashboard in the CloudFormation template. You would need to export the existing CloudWatch dashboard as JSON, then use the DashboardBody property in the CloudFormation template to replicate it upon each deployment (https://docs.aws.amazon.com/AmazonCloudWatch/latest/APIReference/CloudWatch-Dashboard-Body-Structure.html)
NEW QUESTION # 61
A SysOps administrator developed a Python script that uses the AWS SDK to conduct several maintenance tasks. The script needs to run automatically every night.
What is the MOST operationally efficient solution that meets this requirement?
- A. Deploy the Python script to an Amazon EC2 instance. Use AWS Systems Manager to schedule the instance to start and stop every night.
- B. Deploy the Python script to an Amazon EC2 instance. Use Amazon EventBride (Amazon CloudWatch Events) to schedule the instance to start and stop every night.
- C. Convert the Python script to an AWS Lambda function. Use an Amazon EventBridge (Amazon CloudWatch Events) rule to invoke the function every night.
- D. Convert the Python script to an AWS Lambda function. Use AWS CloudTrail to invoke the function every night.
Answer: C
Explanation:
https://docs.aws.amazon.com/AmazonCloudWatch/latest/events/RunLambdaSchedule.html
NEW QUESTION # 62
To manage Auto Scaling group instances that have OS vulnerabilities, the SysOps administrator needs an automated patching solution.
Options:
- A. Use AWS Systems Manager Patch Manager to patch the instances during a scheduled maintenance window. In the AWS-RunPatchBaseline document, ensure that the RebootOption parameter is set to RebootIfNeeded.
- B. Use AWS Config to scan for operating system vulnerabilities and to patch instances when the instance status changes to NON_COMPLIANT. Send an Amazon Simple Notification Service (Amazon SNS) notification to an operations team to reboot the instances during off-peak hours.
- C. Use EC2 Image Builder pipelines on a schedule to create new Amazon Machine Images (AMIs) and new launch templates that reference the new AMIs. Use the instance refresh feature for EC2 Auto Scaling to replace instances.
- D. In the Auto Scaling launch template, provide an Amazon Machine Image (AMI) ID for an AWS-provided base image. Update the user data with a shell script to download and install patches.
Answer: A
Explanation:
Using AWS Systems Manager Patch Manager with a maintenance window is a best practice for automating OS patch management across instances in an Auto Scaling group.
Patch Manager: Allows for scheduled patching according to maintenance windows, ensuring minimal impact on application uptime.
RebootOption parameter: Setting this to RebootIfNeeded ensures patches are applied fully when a reboot is required.
AWS-RunPatchBaseline: This document automates the patching process and can be customized based on compliance requirements.
NEW QUESTION # 63
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