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| Certification Vendor: | Amazon Web Services (AWS) |
|---|---|
| Exam Name: | AWS Certified SysOps Administrator - Associate (SOA-C03) |
| Exam Number: | SOA-C03 |
| Related Certifications: | AWS Certified Developer - Associate AWS Certified Solutions Architect - Associate |
| Exam Duration: | 130 minutes |
| Certificate Validity Period: | 3 years |
| Real Exam Qty: | 65 questions |
| Exam Format: | Multiple response, Multiple choice |
| Passing Score: | 720 (scaled score out of 1000) |
| Exam Price: | 150 USD |
| Available Languages: | German, Korean, Simplified Chinese, French, English, Spanish (Latin America), Japanese |
| 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/ |
>> SOA-C03 Detailed Answers <<
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NEW QUESTION # 118
A company is migrating a legacy application to AWS. The application runs on EC2 instances across multiple Availability Zones behind an Application Load Balancer (ALB). The target group routing algorithm is set to weighted random, and the application requires session affinity (sticky sessions).
After deployment, users report random application errors that were not present before migration, even though target health checks are passing.
Which solution will meet this requirement?
Answer: B
Explanation:
According to the AWS Cloud Operations and Elastic Load Balancing documentation, Application Load Balancer (ALB) supports multiple routing algorithms to distribute requests among targets:
* Round robin (default)
* Least outstanding requests (LOR)
* Weighted random
When applications require session affinity, AWS recommends using "least outstanding requests" as the load balancing algorithm because it reduces latency, distributes load evenly, and ensures consistent target responsiveness during high traffic.
Using weighted random routing with sticky sessions can cause sessions to be routed inconsistently if one target's capacity fluctuates, leading to session mismatches and application errors - especially when user sessions rely on instance-specific state.
Disabling cross-zone balancing (Option C) or adjusting deregistration delay (Option D) does not address routing inconsistency. Anomaly mitigation (Option B) protects against target performance degradation, not sticky-session misrouting.
Therefore, the correct solution is Option A - changing the target group's routing algorithm to least outstanding requests ensures smoother, predictable session handling and resolves random application errors.
Reference: AWS Cloud Operations & Load Balancing Guide - Optimizing Application Load Balancer Routing Algorithms for Stateful Applications
NEW QUESTION # 119
A CloudOps engineer needs to ensure that AWS resources across multiple AWS accounts are tagged consistently. The company uses an organization in AWS Organizations to centrally manage the accounts. The company wants to implement cost allocation tags to accurately track the costs that are allocated to each business unit.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: B
Explanation:
Comprehensive Explanation (250-350 words):
AWS Organizations Tag Policies provide a centralized, scalable governance mechanism to standardize tagging across accounts. Tag policies let an organization define tag keys, allowed values, and tagging expectations, helping teams apply consistent tagging conventions across many accounts without building custom logic. This matches the requirement for consistent tags "across multiple accounts" with minimal operational overhead, because the policy is managed centrally and applied at the organization/OUs level.
For cost tracking, user-defined tags must be activated as cost allocation tags in AWS Billing and Cost Management. Enabling cost allocation tags is the required step to make those tags usable in billing views (for example, Cost Explorer allocation and reporting). Combining Tag Policies (governance/consistency) with cost allocation tag activation (billing attribution) directly meets both parts of the requirement.
Option B (CloudTrail + Lambda auto-tagging) is higher operational overhead: it requires event processing, permissions, continuous maintenance, exception handling, and careful logic to avoid incorrect tag assignments. Option C is partially relevant for compliance detection, but AWS Budgets does not "apply tags" to resources; Budgets is for cost/usage alerts and budget tracking. Option D can enforce tagged provisioning paths, but it's not comprehensive for all resource creation mechanisms and Trusted Advisor is not a global
"tag enforcement" engine.
Therefore, A is the most native and least-ops approach for consistent tags across an organization and enabling cost allocation tracking.
NEW QUESTION # 120
An AWS CloudFormation template creates an Amazon RDS instance. This template is used to build up development environments as needed and then delete the stack when the environment is no longer required.
The RDS-persisted data must be retained for further use, even after the CloudFormation stack is deleted.
How can this be achieved in a reliable and efficient way?
Answer: D
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Doocuments:
AWS CloudFormation supports the DeletionPolicy attribute to control what happens to a resource when a stack is deleted. For Amazon RDS DB instances, setting DeletionPolicy: Snapshot instructs CloudFormation to retain a final DB snapshot automatically at stack deletion. CloudOps best practice recommends using this native mechanism for data retention and auditability, avoiding manual scripts or out-of-band processes.
Options A, B, and D introduce operational overhead and potential human error. With DeletionPolicy set to Snapshot, the environment can be repeatedly created and torn down while preserving data states for later restoration with minimal manual steps. This aligns with IaC principles-declarative, repeatable, and reliable- and supports efficient lifecycle management of ephemeral development stacks.
References:* AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide - Deployment, Provisioning and Automation* AWS CloudFormation User Guide - DeletionPolicy Attribute (Snapshot for RDS)* AWS Well-Architected Framework - Operational Excellence Pillar
NEW QUESTION # 121
A company's security policy requires incoming SSH traffic to be restricted to a defined set of addresses. The company is using an AWS Config rule to check whether security groups allow unrestricted incoming SSH traffic.
A CloudOps engineer discovers a noncompliant resource and fixes the security group manually. The CloudOps engineer wants to automate the remediation of other noncompliant resources.
What is the MOST operationally efficient solution that meets these requirements?
Answer: D
Explanation:
Comprehensive Explanation (250-350 words):
AWS Config supports automatic remediation for both managed and custom rules. When a resource is found noncompliant, AWS Config can automatically invoke an AWS Systems Manager Automation document to remediate the issue. The managed automation document AWS-DisableIncomingSSHOnPort22 is specifically designed to remove unrestricted SSH access (0.0.0.0/0) from security group inbound rules.
This approach is the most operationally efficient because it requires no custom code, no event orchestration, and no ongoing maintenance. The remediation runs immediately when AWS Config detects noncompliance and ensures consistent enforcement of security policy across all applicable resources.
Options A, C, and D rely on Lambda functions and event-driven glue logic, which significantly increase operational overhead, complexity, and long-term maintenance costs. These approaches are unnecessary when AWS provides a fully managed remediation capability.
Therefore, configuring an automatic remediation action directly on the AWS Config rule is the correct and most efficient solution.
NEW QUESTION # 122
A company uses an organization in AWS Organizations to manage multiple AWS accounts. The company needs to send specific events from all the accounts in the organization to a new receiver account, where an AWS Lambda function will process the events.
A CloudOps engineer configures Amazon EventBridge to route events to a target event bus in the us- west-2 Region in the receiver account. The CloudOps engineer creates rules in both the sender and receiver accounts that match the specified events. The rules do not specify an account parameter in the event pattern. IAM roles are created in the sender accounts to allow PutEvents actions on the target event bus.
However, the first test events from the us-east-1 Region are not processed by the Lambda function in the receiving account.
What is the likely reason the events are not processed?
Answer: D
Explanation:
When events are sent across AWS accounts -- particularly from multiple accounts in an AWS Organization -- the target event bus in the receiver account must include a resource-based policy that explicitly allows events:PutEvents API calls from the sender accounts or the organization ID.
Even if the sender accounts have IAM permissions to call PutEvents, the receiving event bus must trust those accounts via a resource policy. Without this configuration, EventBridge automatically rejects incoming cross-account events, and those events never reach the target Lambda function for processing.
AWS guidance states that "Cross-account event delivery requires a resource-based policy on the event bus that grants permissions to the source accounts or organization." The policy can include either individual AWS account IDs or the organization's root ID.
In this scenario, because the events originate from multiple accounts and there is no resource policy on the target event bus to authorize those sender accounts, the events are not delivered.
Therefore, the correct cause is C ?the resource-based policy on the target event bus must be modified to allow PutEvents API calls from the sender accounts.
NEW QUESTION # 123
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