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| Certification Vendor: | Amazon Web Services (AWS) |
|---|---|
| Exam Name: | AWS Certified SysOps Administrator - Associate (SOA-C03) |
| Exam Number: | SOA-C03 |
| Exam Price: | 150 USD |
| Exam Format: | Multiple response, Multiple choice |
| Real Exam Qty: | 65 questions |
| Related Certifications: | AWS Certified Developer - Associate AWS Certified Solutions Architect - Associate |
| Passing Score: | 720 (scaled score out of 1000) |
| Certificate Validity Period: | 3 years |
| Exam Duration: | 130 minutes |
| Available Languages: | French, German, English, Japanese, Korean, Simplified Chinese, Spanish (Latin America) |
| Recommended Training: | AWS Skill Builder - SysOps Administrator Learning Path AWS Certified SysOps Administrator Associate Training (Official Learning Resources) |
| Exam Registration: | AWS Certification Portal AWS Certification Official Registration |
| Sample Questions: | Amazon SOA-C03 Sample Questions |
| Exam Way: | Online proctored or test center delivery |
| Pre Condition: | No formal prerequisites, but AWS recommends at least 1 year of experience managing AWS workloads in a SysOps or cloud operations role. |
| Official Syllabus URL: | https://aws.amazon.com/certification/certified-sysops-administrator-associate/ |
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NEW QUESTION # 20
A company hosts a critical legacy application on two Amazon EC2 instances that are in one Availability Zone. The instances run behind an Application Load Balancer (ALB). The company uses Amazon CloudWatch alarms to send Amazon Simple Notification Service (Amazon SNS) notifications when the ALB health checks detect an unhealthy instance. After a notification, the company's engineers manually restart the unhealthy instance. A CloudOps engineer must configure the application to be highly available and more resilient to failures. Which solution will meet these requirements?
Answer: C
Explanation:
High availability requires removing single-AZ risk and eliminating manual recovery. The AWS Reliability best practices state to design for multi-AZ and automatic healing: Auto Scaling "helps maintain application availability and allows you to automatically add or remove EC2 instances" (AWS Auto Scaling User Guide). The Reliability Pillar recommends to "distribute workloads across multiple Availability Zones" and to "automate recovery from failure" (AWS Well-Architected Framework ?Reliability Pillar). Attaching the Auto Scaling group to an ALB target group enables health-based replacement: instances failing load balancer health checks are replaced and traffic is routed only to healthy targets. Using an AMI in a launch template ensures consistent, repeatable instance configuration (AWS EC2 Launch Templates). Options A and C keep all instances in a single Availability Zone and rely on manual or ad-hoc restarts, which do not meet high-availability or resiliency goals. Option B only scales vertically and adds a restart rule; it neither removes the single-AZ failure domain nor provides automated replacement. Therefore, creating a multi-AZ EC2 Auto Scaling group with a launch template and attaching it to the ALB target group (Option D) is the CloudOps-aligned solution for resilience and business continuity.
NEW QUESTION # 21
A company runs a web application on three Amazon EC2 instances behind an Application Load Balancer (ALB). The company notices that random periods of increased traffic cause a degradation in the application's performance.
A CloudOps engineer must scale the application to meet the increased traffic.
Which solution meets these requirements?
Answer: B
Explanation:
Auto Scaling groups with target tracking scaling policies automatically adjust capacity based on real-time demand. This solution is ideal for handling unpredictable and random traffic spikes.
Target tracking scaling maintains a metric, such as average CPU utilization or request count per target, at a defined target value. The Auto Scaling group automatically launches or terminates instances as traffic fluctuates.
Manual scaling, EventBridge-based scaling, or scheduled scaling do not respond dynamically to random traffic patterns.
Therefore, an Auto Scaling group with a target tracking scaling policy is the correct solution.
NEW QUESTION # 22
A CloudOps engineer is examining the following AWS CloudFormation template:
AWSTemplateFormatVersion: '2010-09-09'
Description: 'Creates an EC2 Instance'
Resources:
EC2Instance:
Type: AWS::EC2::Instance
Properties:
ImageId: ami-79fd7eee
InstanceType: m5n.large
SubnetId: subnet-1abc3d3fg
PrivateDnsName: ip-10-24-34-0.ec2.internal
Tags:
- Key: Name
Value: !Sub "${AWS::StackName} Instance"
Why will the stack creation fail?
Answer: A
Explanation:
The PrivateDnsName attribute of an EC2 instance is automatically assigned by AWS at launch time and is a read-only property. CloudFormation does not allow users to specify this value manually.
Including PrivateDnsName in the EC2 instance properties causes validation to fail during stack creation.
Outputs and Parameters sections are optional, and the VPC is implicitly defined through the subnet ID.
Therefore, attempting to set PrivateDnsName results in stack creation failure.
NEW QUESTION # 23
A SysOps administrator monitors and maintains the availability of resources in an AWS environment. The SysOps administrator notices that the CPU utilization of an Amazon EC2 instance that runs web server software peaks above 80% at various times during each day. The CPU spikes correlate with peak daily loads. The high CPU load has resulted in performance issues for customers.
The SysOps administrator needs to resolve the system performance issue without causing any service disruptions. Which solution will meet these requirements?
Answer: C
Explanation:
The requirement is to fix performance degradation from predictable peak CPU load without service disruptions. The most reliable and operationally standard approach is horizontal scaling with an Auto Scaling group driven by CloudWatch metrics/alarms (or target tracking). Launching additional instances and distributing traffic (typically behind a load balancer) increases capacity while keeping existing instances serving requests--no reboot or stop/start required.
Option D meets the requirement because Auto Scaling can add capacity when CPU exceeds a threshold and remove capacity when demand falls. This improves performance during peak periods and maintains availability. It is also operationally efficient: scaling actions are automated, consistent, and can be tuned with cooldowns/health checks.
NEW QUESTION # 24
A company has an application that runs on Amazon EC2 instances. The application stores data on an Amazon RDS for MySQL Single-AZ DB instance. Requests to the DB instance from the application include reads and writes.
A CloudOps engineer must implement a solution that provides failover for the DB instance. The solution must minimize application downtime.
Which solution will meet these requirements?
Answer: B
Explanation:
For Amazon RDS for MySQL, a Multi-AZ DB instance deployment provides synchronous standby replication to another Availability Zone and supports automatic failover if the primary DB instance or Availability Zone fails. This directly meets the requirement for failover while minimizing application downtime. A read replica in the same Availability Zone does not provide the same automatic high-availability failover path and is mainly used for read scaling. Auto Scaling groups apply to EC2 instances, not RDS DB instances. RDS Proxy can improve application connection handling and failover behavior, but it does not by itself create a standby database for a Single-AZ instance. The database must first have a high-availability deployment. Therefore, modifying the DB instance to Multi-AZ is the correct reliability solution.
NEW QUESTION # 25
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