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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 |
| Real Exam Qty: | 65 questions |
| Passing Score: | 720 (scaled score out of 1000) |
| Available Languages: | French, Japanese, Spanish (Latin America), English, Simplified Chinese, Korean, German |
| Exam Duration: | 130 minutes |
| Exam Format: | Multiple response, Multiple choice |
| Certificate Validity Period: | 3 years |
| 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 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 # 238
A company is running an ecommerce application on AWS. The application maintains many open but idle connections to an Amazon Aurora DB cluster. During times of peak usage, the database produces the following error message: "Too many connections." The database clients are also experiencing errors.
Which solution will resolve these errors?
Answer: A
Explanation:
The correct solution is B. Configure RDS Proxy, because RDS Proxy is specifically designed to manage and pool database connections for Amazon Aurora and Amazon RDS. AWS CloudOps documentation states that RDS Proxy reduces database load and prevents connection exhaustion by reusing existing connections and managing spikes in application demand.
In this scenario, the ecommerce application maintains many idle connections, which consume database connection slots even when not actively used. During peak traffic, new connections cannot be established, resulting in the "Too many connections" error. RDS Proxy sits between the application and the Aurora DB cluster, maintaining a smaller, efficient pool of database connections and multiplexing application requests over those connections.
NEW QUESTION # 239
A CloudOps engineer configures an application to run on Amazon EC2 instances behind an Application Load Balancer (ALB) in a simple scaling Auto Scaling group with the default settings. The Auto Scaling group is configured to use the RequestCountPerTarget metric for scaling. The CloudOps engineer notices that the RequestCountPerTarget metric exceeded the specified limit twice in 180 seconds.
How will the number of EC2 instances in this Auto Scaling group be affected in this scenario?
Answer: D
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Doocuments:
With simple scaling policies, an Auto Scaling group performs one scaling activity when the alarm condition is met, then observes a default cooldown period (300 seconds) before another scaling activity of the same type can begin. CloudOps guidance explains that cooldown prevents rapid successive scale-outs by allowing time for the newly launched instance(s) to register with the load balancer and impact the metric. Even if the alarm breaches multiple times during the cooldown window, the group waits until the cooldown completes before evaluating and acting again. In this case, although RequestCountPerTarget exceeded the threshold twice within 180 seconds, the group will launch a single instance and then wait for cooldown before any additional scale-out can occur. Options A, C, and D do not reflect the behavior of simple scaling with cooldowns; A describes step/target-tracking-like behavior, and C/D are not Auto Scaling mechanics.
References (AWS CloudOps Documents / Study Guide):
* Amazon EC2 Auto Scaling - Simple Scaling Policies and Cooldown (User Guide)
* Elastic Load Balancing Metrics - ALB RequestCountPerTarget (CloudWatch Metrics)
* AWS Well-Architected Framework - Performance Efficiency & Operational Excellence
NEW QUESTION # 240
A company hosts a static website in an Amazon S3 bucket, accessed globally via Amazon CloudFront. The Cache-Control max-age header is set to 1 hour, and Maximum TTL is set to 5 minutes. The CloudOps engineer observes that CloudFront is not caching objects for the expected duration.
What is the reason for this issue?
Answer: A
Explanation:
As per the AWS Cloud Operations and Content Delivery documentation, CloudFront determines cache behavior by evaluating both origin headers (e.g., Cache-Control and Expires) and distribution-level TTL settings.
When Cache-Control max-age conflicts with the Maximum TTL configured in CloudFront, the shorter TTL value takes precedence. This results in CloudFront caching content for only 5 minutes instead of 1 hour, despite the origin headers suggesting a longer duration.
AWS documentation explicitly states: "When both origin cache headers and CloudFront TTL settings are defined, CloudFront uses the most restrictive caching period." This mismatch causes the perceived performance drop, as CloudFront frequently revalidates content.
Therefore, Option D is correct - cache-duration settings conflict with each other, leading to unexpected caching behavior.
Reference: AWS Cloud Operations & Content Delivery Guide - Interaction Between Cache-Control Headers and CloudFront TTL Settings
NEW QUESTION # 241
A CloudOps engineer needs to disable automatic backups for an Amazon RDS instance to optimize costs. When the CloudOps engineer attempts to disable the backups, the CloudOps engineer receives an error message that states the retention period must be between 1 and 35.
What is the likely cause of this issue?
Answer: A
Explanation:
Automatic backups cannot be disabled for an Amazon RDS instance that is configured as a Multi- AZ deployment. Multi-AZ requires automated backups to support failover and high availability, so AWS enforces a minimum retention period of at least 1 day.
NEW QUESTION # 242
A company is using Amazon S3 buckets to store datasets. The company has several teams that use Amazon Athena to run one-time queries against the datasets. A CloudOps engineer must implement a solution that stores each team's Athena query results in that team's individual S3 bucket. Which solution will meet this requirement?
Answer: C
Explanation:
Athena workgroups can be configured with dedicated query result locations in Amazon S3.
Creating a separate workgroup for each team ensures that queries run by that team automatically store their results in the team's designated S3 bucket, providing consistent separation and centralized control of query output locations.
NEW QUESTION # 243
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