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| Certification Vendor: | Amazon Web Services (AWS) |
|---|---|
| Exam Name: | AWS Certified CloudOps Engineer - Associate |
| Exam Number: | SOA-C03 |
| Related Certifications: | AWS Certified SysOps Administrator - Associate (SOA-C02, retired) |
| Exam Duration: | 130 minutes |
| Real Exam Qty: | 65 (50 scored, 15 unscored) |
| Exam Format: | Multiple choice, Multiple response |
| Available Languages: | Japanese, Korean, English, Simplified Chinese |
| Passing Score: | 720 (scaled score 100–1000) |
| Exam Price: | 150 USD |
| Certificate Validity Period: | 3 years |
| Recommended Training: | AWS Training and Certification AWS Official Exam Guide |
| Exam Registration: | Pearson VUE Scheduling AWS Certification Registration |
| Sample Questions: | Amazon SOA-C03 Sample Questions |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | No mandatory prerequisites; recommended 1 year of experience deploying, managing, and operating workloads on AWS |
| 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 # 286
An ecommerce company uses Amazon ElastiCache (Redis OSS) for caching product queries. The CloudOps engineer observes a large number of cache evictions in Amazon CloudWatch metrics and needs to reduce evictions while retaining popular data in cache.
Which solution meets these requirements with the least operational overhead?
Answer: B
Explanation:
According to the AWS Cloud Operations and ElastiCache documentation, cache evictions occur when the cache runs out of memory and must remove items to make space for new data.
To reduce evictions and retain frequently accessed items, AWS recommends increasing the total available memory - either by scaling up to larger node types or scaling out by adding shards/nodes. Migrating to a cluster with larger nodes is the simplest and most efficient solution because it immediately expands capacity without architectural changes.
Adjusting TTL (Options B and C) controls expiration timing, not memory allocation. Adding a single node (Option A) may help, but redistributing data requires resharding, introducing more complexity.
Thus, Option D provides the lowest operational overhead and ensures high cache hit rates by increasing total cache memory.
Reference: AWS Cloud Operations & Performance Optimization Guide - Reducing Evictions and Scaling Amazon ElastiCache Clusters
NEW QUESTION # 287
A company with millions of subscribers needs to automatically send notifications every Saturday. The company already uses Amazon SNS to send messages but has historically sent them manually.
Which solution will meet these requirements in the MOST operationally efficient way?
Answer: C
Explanation:
Per the AWS Cloud Operations and Event Management documentation, Amazon EventBridge provides native scheduling capabilities that can trigger events at defined intervals-such as weekly, daily, or cron-based schedules.
Creating an EventBridge rule that runs every Saturday and publishes a message to an SNS topic fully automates the notification process without maintaining servers or manual jobs. This approach is serverless, highly reliable, and fully managed by AWS.
By contrast:
EC2 cron jobs (Option A) require instance management, patching, and cost overhead.
SNS subscriptions (Option C) handle message delivery, not scheduling.
Step Functions (Option D) are designed for complex workflows, not simple scheduled triggers.
Thus, Option B provides the most operationally efficient CloudOps solution by integrating EventBridge scheduled events with SNS topics for automated, recurring notifications.
NEW QUESTION # 288
A company runs applications that generate log files. The company stores the log files in Amazon S3. A CloudOps engineer must automatically process the log files whenever new files upload to the S3 bucket. Which solution will meet this requirement?
Answer: D
Explanation:
Amazon S3 event notifications are the native mechanism for invoking processing when objects are uploaded to an S3 bucket. The CloudOps engineer can configure the bucket to send ObjectCreated events to an AWS Lambda function, and the Lambda function can process each new log file by using the bucket name and object key from the event payload. This is serverless, event-driven, and has the least operational overhead. CodePipeline is intended for software delivery workflows, not generic log-file processing. Step Functions is useful for orchestrating multi-step workflows, but polling or waiting for S3 uploads is unnecessary here. EventBridge can receive some S3 events, but the direct S3 event notification to Lambda is simpler and more targeted for this requirement.
NEW QUESTION # 289
A school uses a web application to track student attendance. The application uses an Amazon API Gateway REST API and backend AWS Lambda functions. The application stores data in an Amazon DynamoDB table that is in on-demand capacity mode.
Teachers report slow application performance at the same time every weekday. A CloudOps engineer notices that the performance problems happen only when the application demand suddenly increases. The application can handle the peak load if the load increases gradually. The CloudOps engineer must modify the application to resolve the performance issue.
Which solution will meet this requirement?
Answer: D
Explanation:
DynamoDB on-demand mode can experience throttling when traffic suddenly increases beyond recent peak levels. For a predictable weekday spike, switching to provisioned capacity and setting the capacity to match expected peak usage ensures the table has enough read and write capacity available before the sudden demand occurs.
NEW QUESTION # 290
A company is using an Amazon Aurora MySQL DB cluster that has point-in-time recovery, backtracking, and automatic backup enabled. A CloudOps engineer needs to roll back the DB cluster to a specific recovery point within the previous 72 hours. Restores must be completed in the same production DB cluster.
Which solution will meet these requirements?
Answer: B
Explanation:
As documented in AWS Cloud Operations and Database Recovery, Aurora Backtrack allows you to rewind the existing database cluster to a chosen point in time without creating a new cluster. This feature supports fine-grained rollback for accidental data changes, making it ideal for scenarios like table deletions or logical corruption.
Backtracking maintains continuous transaction logs and permits rewinding within a configurable window (up to 72 hours). It does not require creating a new cluster or endpoint, and it preserves the same production environment, fulfilling the operational requirement for in-place recovery.
In contrast, Point-in-Time Recovery (Option D) always creates a new cluster, while replica promotion (Option A) and Lambda restoration (Option B) are unrelated to immediate rollback operations.
Therefore, Option C, using Aurora Backtrack, best meets the requirement for same-cluster restoration and minimal downtime.
Reference: AWS Cloud Operations & Database Management Guide - Section: Using Aurora Backtrack for Fast In-Place Recovery
NEW QUESTION # 291
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