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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 |
| Certificate Validity Period: | 3 years |
| Exam Format: | Multiple choice, Multiple response |
| Real Exam Qty: | 65 questions |
| Available Languages: | Simplified Chinese, Spanish (Latin America), English, French, German, Korean, Japanese |
| Passing Score: | 720 (scaled score out of 1000) |
| Exam Duration: | 130 minutes |
| Related Certifications: | AWS Certified Solutions Architect - Associate AWS Certified Developer - Associate |
| Recommended Training: | AWS Skill Builder - SysOps Administrator Learning Path AWS Certified SysOps Administrator Associate Training (Official Learning Resources) |
| Exam Registration: | AWS Certification Official Registration AWS Certification Portal |
| 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 # 286
A company has an AWS CloudFormation template that includes an AWS::EC2::Instance resource and a custom resource (Lambda function). The Lambda function fails because it runs before the EC2 instance is launched.
Which solution will resolve this issue?
Answer: A
Explanation:
The AWS Cloud Operations and Infrastructure-as-Code documentation specifies that when using AWS CloudFormation, resources are created in parallel by default unless explicitly ordered using DependsOn.
If a custom resource (Lambda) depends on another resource (like an EC2 instance) to exist before execution, a DependsOn attribute must be added to enforce creation order. This ensures the EC2 instance is launched and available before the custom resource executes its automation logic.
Updating the service token (Option B) doesn't affect order of execution. The cfn-response module (Option C) handles callback communication but not sequencing. Fn::If (Option D) is for conditional creation, not dependency control.
Therefore, Option A is correct - adding a DependsOn attribute guarantees that CloudFormation provisions the EC2 instance before executing the Lambda custom resource.
Reference: AWS Cloud Operations & Infrastructure-as-Code Guide - Using DependsOn for Resource Creation Order in CloudFormation Templates
NEW QUESTION # 287
A company hosts an encrypted Amazon S3 bucket in the ap-southeast-2 Region. Users from the eu-west-2 Region access the S3 bucket through the internet. The users from eu-west-2 need faster transfers to and from the S3 bucket for large files.
Which solution will meet these requirements?
Answer: B
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Documents:
For users in eu-west-2 transferring large files to/from an S3 bucket in ap-southeast-2 over the public internet, S3 Transfer Acceleration is designed to improve performance by leveraging the AWS global edge network.
With Transfer Acceleration enabled, users access the bucket via the acceleration endpoint. Requests enter AWS at the nearest edge location and then traverse the AWS backbone network to the bucket's Region, which typically reduces latency variability and can improve throughput for long-distance transfers.
Option A is incorrect because access points do not "replicate destinations" in the way described, and an access point in another Region does not move data closer by itself. Option B is incorrect because Route 53 DNS routing does not accelerate data transfers; it only resolves names and (in this case) also incorrectly references S3 website endpoints (not appropriate for general large file transfer APIs). Option C is not valid as written because a single S3 access point cannot be "associated with both buckets," and maintaining two buckets introduces synchronization/consistency overhead; it's not the least-friction acceleration approach for direct internet users.
References:
Amazon S3 User Guide - Transfer Acceleration
AWS SysOps Administrator Study Guide - S3 performance optimization
AWS Well-Architected Framework - Performance Efficiency considerations for data transfer
NEW QUESTION # 288
A company runs applications on Amazon EC2 instances. Many of the instances are not patched. The company has a tagging policy. All the instances are tagged with details about the owners, application, and environment.
AWS Systems Manager Agent (SSM Agent) is installed on all the instances.
A SysOps administrator must implement a solution to automatically patch all existing and future instances that have "Prod" in the environment tag. The SysOps administrator plans to create a patch policy in Systems Manager Patch Manager.
Which solution will meet the patching requirements with the LEAST operational overhead?
Answer: A
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Documents:
The correct answer is A because AWS Systems Manager Patch Manager natively supports tag-based targeting, which automatically includes both existing and future instances that match specified tag criteria.
AWS CloudOps documentation states that patch policies can target managed nodes by instance tags, allowing administrators to dynamically scope patching operations without additional automation.
By defining the patch policy target as instances with an environment tag value of "Prod," Patch Manager automatically applies patch baselines to all matching instances. Any new EC2 instance launched with the same tag is included automatically, requiring no manual intervention or additional services. This approach delivers the least operational overhead while remaining fully scalable and compliant.
Options B, C, and D are incorrect because they introduce unnecessary complexity by adding AWS Lambda functions, resource groups, or EventBridge rules. AWS CloudOps best practices emphasize using native Systems Manager capabilities whenever possible to reduce operational burden and failure points.
References:
AWS Systems Manager User Guide - Patch Manager Tag-Based Targeting
AWS SysOps Administrator Study Guide - Automation and Patch Management
AWS Well-Architected Framework - Operational Excellence
NEW QUESTION # 289
A company has a stateful web application that is hosted on Amazon EC2 instances in an Auto Scaling group. The instances run behind an Application Load Balancer (ALB) that has a single target group. The ALB is configured as the origin in an Amazon CloudFront distribution. Users are reporting random logouts from the web application.
Which combination of actions should a CloudOps engineer take to resolve this problem? (Choose two.)
Answer: C,E
Explanation:
Configure cookie forwarding in the CloudFront distribution cache behavior.
If CloudFront is not forwarding cookies, the origin (ALB/app) will not consistently receive the session cookie, causing users to appear "new" and get logged out. Forwarding cookies ensures the application can maintain user sessions correctly.
Enable sticky sessions on the ALB target group.
The application is stateful and stores session data on individual EC2 instances. Enabling ALB target group stickiness keeps a user's requests going to the same instance, preventing session loss and random logouts as traffic shifts between instances.
NEW QUESTION # 290
A company uses an AWS Lambda function to process user uploads to an Amazon S3 bucket. The Lambda function runs in response to Amazon S3 PutObject events.
A SysOps administrator needs to set up monitoring for the Lambda function. The SysOps administrator wants to receive a notification through an Amazon Simple Notification Service (Amazon SNS) topic if the function takes more than 10 seconds to process an event.
Which solution will meet this requirement?
Answer: B
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Documents:
AWS Lambda automatically publishes operational metrics to Amazon CloudWatch, including Duration, which represents the time a function invocation takes to run. To alert when processing time exceeds 10 seconds, the most direct and operationally efficient solution is to create a CloudWatch alarm on the Lambda Duration metric and configure the alarm action to publish to an SNS topic. This meets the monitoring requirement without requiring log parsing or additional query mechanisms.
Option B fits best because it uses the built-in metric stream for Lambda observability: CloudWatch metrics are near real-time, require minimal configuration, and alarms are a standard CloudOps practice for proactive notification. The alarm can be configured with the appropriate statistic (for example, Maximum or p99 via metric math where applicable) and a threshold of 10,000 milliseconds, ensuring the operations team is notified before performance degrades further.
Option A is incorrect because PostRuntimeExtensionsDuration is not the primary runtime metric for function execution time, and extracting runtime from logs is unnecessary. Option C changes the function timeout to 10 seconds, which would cause failures rather than simply notifying on slow executions. Option D is more operationally complex because it relies on log queries; CloudWatch alarms are more straightforward when a native metric exists.
References:
AWS Lambda Developer Guide - Monitoring functions with CloudWatch metrics (Duration) Amazon CloudWatch User Guide - Creating alarms and SNS notifications AWS SysOps Administrator Study Guide - Monitoring and alerting patterns
NEW QUESTION # 291
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