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| Certification Vendor: | AWS |
|---|---|
| Exam Name: | AWS Certified CloudOps Engineer - Associate |
| Exam Number: | SOA-C03 |
| Exam Format: | Multiple choice, Multiple response |
| Related Certifications: | AWS Certified CloudOps Engineer - Associate |
| Certificate Validity Period: | 3 years |
| Exam Duration: | 130 minutes |
| Passing Score: | 720 (scaled score, out of 100-1000) |
| Available Languages: | Japanese, Simplified Chinese, Korean, English |
| Real Exam Qty: | 65 (50 scored, 15 unscored) |
| Exam Price: | USD 150 |
| Sample Questions: | Amazon SOA-C03 Sample Questions |
| Exam Way: | Online (proctored) or at a testing center (Pearson VUE or PSI) |
| Pre Condition: | Recommended: 1 year of experience with AWS deployment, management, troubleshooting, networking, and security. Experience in an operations role such as system administrator is helpful. |
| Official Syllabus URL: | https://docs.aws.amazon.com/aws-certification/latest/sysops-administrator-associate-03/sysops-administrator-associate-03.html |
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NEW QUESTION # 183
A CloudOps engineer is setting up a fleet of Amazon EC2 instances in an Auto Scaling group for an application. The fleet should have 50% CPU available at all times to accommodate bursts of traffic. The load will increase significantly between the hours of 09:00 and 17:00, 7 days a week.
How should the CloudOps engineer configure the scaling of the EC2 instances to meet these requirements?
Answer: B
Explanation:
A target tracking scaling policy with a 50% CPU utilization target maintains roughly 50% spare CPU capacity for unexpected traffic bursts. Scheduled scaling can proactively increase capacity before the predictable 09:00-17:00 demand period and reduce capacity afterward, combining reactive scaling with preparation for known traffic patterns.
NEW QUESTION # 184
A company's website runs on an Amazon EC2 Linux instance. The website needs to serve PDF files from an Amazon S3 bucket. All public access to the S3 bucket is blocked at the account level. The company needs to allow website users to download the PDF files.
Which solution will meet these requirements with the LEAST administrative effort?
Answer: C
Explanation:
Per the AWS Cloud Operations, Networking, and Security documentation, the best practice for serving private S3 content securely to end users is to use Amazon CloudFront with Origin Access Control (OAC).
OAC enables CloudFront to access S3 buckets privately, even when Block Public Access settings are enabled at the account level. This allows content to be delivered globally and securely without making the S3 bucket public. The bucket policy explicitly allows access only from the CloudFront distribution, ensuring that users can retrieve PDF files only via CloudFront URLs.
This configuration offers:
Automatic scalability through CloudFront caching,
Improved security via private access control,
Minimal administration effort with fully managed services.
Other options require manual handling or make the bucket public, violating AWS security best practices.
Therefore, Option B-using CloudFront with Origin Access Control and a restrictive bucket policy-provides the most secure, efficient, and low-maintenance CloudOps solution.
NEW QUESTION # 185
A CloudOps engineer wants to provide access to AWS services by attaching an IAM policy to multiple IAM users The CloudOps engineer also wants to be able to change the policy and create new versions.
Which combination of actions will meet these requirements? (Choose two.)
Answer: C,E
Explanation:
Attaching a policy to a group allows centralized management of permissions for multiple users. All users in the group automatically inherit the policy permissions.
A customer managed policy is reusable, versioned, and editable. You can create new versions of the policy and update or roll back as needed. Combining this with a user group provides flexible, scalable, and maintainable permission management.
NEW QUESTION # 186
A company has an application that uses Amazon ElastiCache for Memcached to cache query responses to improve latency.
However, the application's users are reporting slow response times. A SysOps administrator notices that the Amazon CloudWatch metrics for Memcached evictions are high.
Which actions should the SysOps administrator take to fix this issue? (Choose two.)
Answer: B,C
Explanation:
High eviction counts in Memcached occur when the total cache capacity is insufficient for the working set. Increasing the node size provides more memory per node, allowing more data to be cached before evictions occur. This directly reduces eviction pressure on a per-node basis.
Adding more nodes increases overall cluster memory and parallel cache capacity, allowing the aggregate cache to hold more items concurrently and reducing the likelihood that frequently accessed data is evicted. This scalability approach is standard practice when facing memory- bound eviction issues in ElastiCache Memcached clusters.
NEW QUESTION # 187
A company observes a dramatic increase in 500 status code responses from an HTTP application that runs on Amazon EC2 instances. The EC2 instances are in an Auto Scaling group and use EC2 health checks for resiliency. The company uses Amazon CloudWatch to collect logs for the EC2 instances and the HTTP server logs.
A CloudOps engineer investigates the cause of the status codes. The CloudOps engineer finds that errors correlate with times when the Auto Scaling group was either replacing EC2 instances or performing scale-in actions. The CloudOps engineer needs to improve the resiliency of the application's architecture.
Which solution will meet this requirement?
Answer: D
Explanation:
The errors occur during Auto Scaling replacement and scale-in events, which strongly indicates that instances are being terminated or recycled while they are still serving traffic. When an Auto Scaling group uses only EC2 status checks, the health evaluation is limited to instance-level signals (such as system reachability and instance reachability). Those checks do not validate whether the application process is healthy, whether the web server is still responding correctly, or whether the instance is safely able to continue serving requests while shutdown activities are underway. As a result, traffic can continue to reach an instance that is about to be terminated, or a newly launched instance can be marked healthy at the EC2 layer before the application is actually ready, producing spikes in 5xx responses.
Using Elastic Load Balancing health checks integrates the Auto Scaling group with the load balancer's application-aware health evaluation. The load balancer can perform health checks against a specific endpoint (for example, /health) over HTTP/HTTPS and determine whether the application is responding successfully.
Auto Scaling can then replace instances based on real service health rather than only infrastructure health.
This approach improves resiliency because unhealthy or draining instances are removed from load balancing before they cause user-facing errors, and newly launched instances are kept out of rotation until they pass the ELB health checks.
Increasing cooldown (A) only slows scaling actions and does not ensure safe traffic draining. Increasing minimum capacity (C) can reduce impact but does not address the root cause of instances receiving traffic during lifecycle changes. Increasing grace period (D) helps initial warm-up, but it does not reliably protect users during scale-in and termination without application-level health integration. Therefore, ELB health checks are the best solution.
NEW QUESTION # 188
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