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Amazon SOA-C03 Exam Overview:

Certification Vendor:	Amazon Web Services (AWS)
Exam Name:	AWS Certified SysOps Administrator - Associate (SOA-C03)
Exam Number:	SOA-C03
Real Exam Qty:	65 questions
Exam Price:	150 USD
Related Certifications:	AWS Certified Developer - Associate AWS Certified Solutions Architect - Associate
Certificate Validity Period:	3 years
Passing Score:	720 (scaled score out of 1000)
Exam Format:	Multiple response, Multiple choice
Available Languages:	French, English, Spanish (Latin America), Simplified Chinese, Japanese, German, Korean
Exam Duration:	130 minutes
Recommended Training:	AWS Certified SysOps Administrator Associate Training (Official Learning Resources) AWS Skill Builder - SysOps Administrator Learning Path
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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Amazon SOA-C03 Exam Syllabus Topics:

Topic	Details
Topic 1	Deployment, Provisioning, and Automation: This section measures the skills of Cloud Engineers and covers provisioning and maintaining cloud resources using AWS CloudFormation, CDK, and third-party tools. It evaluates automation of deployments, remediation of resource issues, and managing infrastructure using Systems Manager and event-driven processes like Lambda or S3 notifications.
Topic 2	Monitoring, Logging, Analysis, Remediation, and Performance Optimization: This section of the exam measures skills of CloudOps Engineers and covers implementing AWS monitoring tools such as CloudWatch, CloudTrail, and Prometheus. It evaluates configuring alarms, dashboards, and notifications, analyzing performance metrics, troubleshooting issues using EventBridge and Systems Manager, and applying strategies to optimize compute, storage, and database performance.
Topic 3	Security and Compliance: This section measures skills of Security Engineers and includes implementing IAM policies, roles, MFA, and access controls. It focuses on troubleshooting access issues, enforcing compliance, securing data at rest and in transit using AWS KMS and ACM, protecting secrets, and applying findings from Security Hub, GuardDuty, and Inspector.
Topic 4	Networking and Content Delivery: This section measures skills of Cloud Network Engineers and focuses on VPC configuration, subnets, routing, network ACLs, and gateways. It includes optimizing network cost and performance, configuring DNS with Route 53, using CloudFront and Global Accelerator for content delivery, and troubleshooting network and hybrid connectivity using logs and monitoring tools.
Topic 5	Reliability and Business Continuity: This section measures the skills of System Administrators and focuses on maintaining scalability, elasticity, and fault tolerance. It includes configuring load balancing, auto scaling, Multi-AZ deployments, implementing backup and restore strategies with AWS Backup and versioning, and ensuring disaster recovery to meet RTO and RPO goals.

Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q118-Q123):

NEW QUESTION # 118
An Amazon EC2 instance is running an application that uses Amazon Simple Queue Service (Amazon SQS) queues. A CloudOps engineer must ensure that the application can read, write, and delete messages from the SQS queues.
Which solution will meet these requirements in the MOST secure manner?

A. Create an IAM user with an IAM policy that allows the sqs:SendMessage permission, the sqs:
ReceiveMessage permission, and the sqs:DeleteMessage permission to the appropriate queues. Embed the IAM user ' s credentials in the application ' s configuration.
B. Create and associate an IAM role that allows EC2 instances to call AWS services. Attach an IAM policy to the role that allows sqs:* permissions to the appropriate queues.
C. Create and associate an IAM role that allows EC2 instances to call AWS services. Attach an IAM policy to the role that allows the sqs:SendMessage permission, the sqs:ReceiveMessage permission, and the sqs:DeleteMessage permission to the appropriate queues.
D. Create an IAM user with an IAM policy that allows the sqs:SendMessage permission, the sqs:
ReceiveMessage permission, and the sqs:DeleteMessage permission to the appropriate queues. Export the IAM user ' s access key and secret access key as environment variables on the EC2 instance.

Answer: C

Explanation:
The most secure pattern is to use an IAM role for Amazon EC2 with the minimum required permissions.
AWS guidance states: "Use roles for applications that run on Amazon EC2 instances" and "grant least privilege by allowing only the actions required to perform a task." By attaching a role to the instance, short- lived credentials are automatically provided through the instance metadata service; this removes the need to create long-term access keys or embed secrets. Granting only sqs:SendMessage, sqs:ReceiveMessage, and sqs:
DeleteMessage against the specific SQS queues enforces least privilege and aligns with CloudOps security controls. Options A and B rely on IAM user access keys, which contravene best practices for workloads on EC2 and increase credential-management risk. Option C uses a role but grants sqs:*, violating least-privilege principles. Therefore, Option D meets the security requirement with scoped, temporary credentials and precise permissions.
References:* AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide - Security & Compliance* IAM Best Practices - "Use roles instead of long-term access keys," "Grant least privilege"* IAM Roles for Amazon EC2 - Temporary credentials for applications on EC2* Amazon SQS - Identity and access management for Amazon SQS

NEW QUESTION # 119
A company runs an application on Amazon EC2 that connects to an Amazon Aurora PostgreSQL database. A developer accidentally drops a table from the database, causing application errors. Two hours later, a CloudOps engineer needs to recover the data and make the application functional again.
Which solution will meet this requirement?

A. Perform a point-in-time recovery on the existing database to restore the database to a specified point in time, 2 hours in the past.
B. Create a new Aurora cluster. Choose the Restore data from S3 bucket option. Choose log files up to the failure time 2 hours in the past.
C. Use the Aurora Backtrack feature to rewind the database to a specified time, 2 hours in the past.
D. Perform a point-in-time recovery and create a new database to restore the database to a specified point in time, 2 hours in the past. Reconfigure the application to use a new database endpoint.

Answer: D

Explanation:
In the AWS Cloud Operations and Aurora documentation, when data loss occurs due to human error such as dropped tables, Point-in-Time Recovery (PITR) is the recommended method for restoration. PITR creates a new Aurora cluster restored to a specific time before the failure.
The restored cluster has a new endpoint that must be reconfigured in the application to resume normal operations. AWS does not support performing PITR directly on an existing production database because that would overwrite current data.
Aurora Backtrack (Option A) applies only to Aurora MySQL, not PostgreSQL. Option B is incorrect because PITR cannot be executed in place. Option D refers to an import process from S3, which is unrelated to time- based recovery.
Hence, Option C is correct and follows the AWS CloudOps standard recovery pattern for PostgreSQL workloads.
Reference: AWS Cloud Operations & Aurora Guide - Section: Performing Point-in-Time Recovery for Aurora PostgreSQL Clusters

NEW QUESTION # 120
A CloudOps engineer is examining the following AWS CloudFormation template:

Why will the stack creation fail?

A. The Outputs section of the CloudFormation template was omitted.
B. The Parameters section of the CloudFormation template was omitted.
C. The PrivateDnsName cannot be sot from a CloudFormation template.
D. The VPC was not specified in the CloudFormation template.

Answer: C

Explanation:
In AWS CloudFormation, the PrivateDnsName property of an AWS::EC2::Instance resource is a read-only attribute automatically assigned by AWS when the instance is launched. It cannot be manually specified in the template. Attempting to define it causes stack creation to fail with a validation error. CloudFormation manages this value based on the subnet and VPC DNS configuration, so it must be omitted from the template.

NEW QUESTION # 121
A company uses AWS Organizations to manage multiple AWS accounts. A CloudOps engineer must identify all IPv4 ports open to 0.0.0.0/0 across the organization's accounts.
Which solution will meet this requirement with the LEAST operational effort?

A. Use the AWS CLI to print all security group rules for review.
B. Enable Amazon Inspector in each account. Run an automated workload discovery job.
C. Review AWS Trusted Advisor findings in an organizational view for the Security Groups - Specific Ports Unrestricted check.
D. Create an AWS Lambda function to gather security group rules from all accounts. Aggregate the findings in an Amazon S3 bucket.

Answer: C

Explanation:
According to AWS Cloud Operations and Governance documentation, AWS Trusted Advisor provides automated checks for security group rules across all accounts, including identifying ports open to 0.0.0.0/0.
When viewed in organizational mode, Trusted Advisor integrates with AWS Organizations, allowing administrators to access organization-wide security findings from a central management account. This approach requires no custom code, additional infrastructure, or manual inspection, providing immediate visibility and the lowest operational overhead.
AWS CLI scripts (Option A) or Lambda automation (Option C) introduce additional maintenance, and Amazon Inspector (Option D) is focused on instance-level vulnerabilities, not network access rules.
Therefore, Option B is the AWS-recommended CloudOps best practice for centralized and low-effort open-port auditing.

NEW QUESTION # 122
A CloudOps engineer needs to create a report that shows how many bytes are sent to and received from each target group member for an Application Load Balancer (ALB). Which combination of steps should the CloudOps engineer take to meet these requirements? (Select TWO.)

A. Use Amazon Athena to query the ALB logs. Query the table. Use the received_bytes and sent_bytes fields to calculate the total bytes grouped by the client port field.
B. Enable access logging for the ALB. Save the logs to an Amazon S3 bucket.
C. Use Amazon Athena to query the ALB logs. Query the table. Use the received_bytes and sent_bytes fields to calculate the total bytes grouped by the target and port fields.
D. Create an Amazon CloudWatch dashboard that shows the Sum statistic of the ProcessedBytes metric for the ALB.
E. Install the Amazon CloudWatch agent on the instances in the target group.

Answer: B,C

Explanation:
ALB access logs contain request-level records that include byte counts and target information. To report bytes sent to and received from each target group member, the CloudOps engineer should enable ALB access logging and store the logs in Amazon S3. Then Amazon Athena can query the log files and aggregate received_bytes and sent_bytes by the target address and port fields.
AWS Athena documentation provides table definitions for ALB access logs and supports querying those logs directly from S3. Installing the CloudWatch agent on targets is unnecessary because the required data is in ALB logs, not instance OS metrics. The ProcessedBytes CloudWatch metric is useful for aggregate load balancer traffic but does not provide per-target member reporting. Grouping by client port is also wrong because the requirement is per target member.

NEW QUESTION # 123
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