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Amazon SOA-C03 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Deployment, Provisioning, and Automation: This section measures the skills of Cloud Engineers and covers provisioning and maintaining cloud resources using AWS CloudFormation, CDK, and third-party tools. It evaluates automation of deployments, remediation of resource issues, and managing infrastructure using Systems Manager and event-driven processes like Lambda or S3 notifications.
Topic 2
  • Networking and Content Delivery: This section measures skills of Cloud Network Engineers and focuses on VPC configuration, subnets, routing, network ACLs, and gateways. It includes optimizing network cost and performance, configuring DNS with Route 53, using CloudFront and Global Accelerator for content delivery, and troubleshooting network and hybrid connectivity using logs and monitoring tools.
Topic 3
  • Monitoring, Logging, Analysis, Remediation, and Performance Optimization: This section of the exam measures skills of CloudOps Engineers and covers implementing AWS monitoring tools such as CloudWatch, CloudTrail, and Prometheus. It evaluates configuring alarms, dashboards, and notifications, analyzing performance metrics, troubleshooting issues using EventBridge and Systems Manager, and applying strategies to optimize compute, storage, and database performance.
Topic 4
  • Security and Compliance: This section measures skills of Security Engineers and includes implementing IAM policies, roles, MFA, and access controls. It focuses on troubleshooting access issues, enforcing compliance, securing data at rest and in transit using AWS KMS and ACM, protecting secrets, and applying findings from Security Hub, GuardDuty, and Inspector.
Topic 5
  • Reliability and Business Continuity: This section measures the skills of System Administrators and focuses on maintaining scalability, elasticity, and fault tolerance. It includes configuring load balancing, auto scaling, Multi-AZ deployments, implementing backup and restore strategies with AWS Backup and versioning, and ensuring disaster recovery to meet RTO and RPO goals.

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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q188-Q193):

NEW QUESTION # 188
A user working in the Amazon EC2 console increased the size of an Amazon Elastic Block Store (Amazon EBS) volume attached to an Amazon EC2 Windows instance. The change is not reflected in the file system.
What should a CloudOps engineer do to resolve this issue?

Answer: C

Explanation:
When an Amazon EBS volume is resized, the new storage capacity is immediately available to the attached EC2 instance. However, EBS does not automatically extend the file system. The CloudOps engineer must manually extend the file system within the operating system to utilize the additional space.
AWS documentation for EC2 and EBS specifies:
"After you increase the size of an EBS volume, use file system-specific tools to extend the file system so that the operating system can use the new storage capacity." On Windows instances, this can be achieved through Disk Management or diskpart commands. On Linux systems, utilities such as growpart and resize2fs are used.
Options B and C do not modify file system metadata and are ineffective. Option D unnecessarily replaces the volume, which adds risk and downtime. Thus, Option A aligns with the Monitoring and Performance Optimization practices of AWS CloudOps by properly extending the file system to recognize the new capacity.
References (AWS CloudOps Documents / Study Guide):
* AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide - Domain 1
* Amazon EBS - Modifying EBS Volumes
* Amazon EC2 User Guide - Extending a File System After Resizing a Volume
* AWS Well-Architected Framework - Performance Efficiency Pillar


NEW QUESTION # 189
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: A

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 # 190
A company stores critical files in an Amazon S3 bucket in the us-east-1 AWS Region. To comply with disaster recovery requirements, all new objects in the bucket must automatically replicate to a bucket in the us-west-2 Region. Which solution will meet this requirement with the LEAST operational overhead?

Answer: C

Explanation:
Amazon S3 Cross-Region Replication is the managed feature for automatically replicating newly created objects from a source bucket in one Region to a destination bucket in another Region.
This is the correct disaster recovery pattern because replication is handled by S3 without custom code or scheduled copy jobs. Versioning is required for replication, and in a complete production configuration, versioning must be enabled on both the source and destination buckets. Option A is therefore the best answer, even though the wording mentions only source-bucket versioning.
CORS controls browser cross-origin access and has nothing to do with disaster recovery replication. Lambda and EventBridge can copy objects, but this creates more operational overhead and error handling. S3 Lifecycle policies transition or expire objects; they do not replicate new objects across Regions.


NEW QUESTION # 191
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 # 192
An AWS Lambda function is intermittently failing several times a day. A CloudOps engineer must find out how often this error occurred in the last 7 days.
Which action will meet this requirement in the MOST operationally efficient manner?

Answer: B

Explanation:
The AWS Cloud Operations and Monitoring documentation states that Amazon CloudWatch Logs Insights provides a purpose-built query engine for analyzing and visualizing log data directly within CloudWatch. For Lambda, all invocation results (including errors) are automatically logged to CloudWatch Logs.
By querying these logs with CloudWatch Logs Insights, the CloudOps engineer can efficiently count the number of "ERROR" or "Exception" occurrences over the past 7 days using simple SQL-like commands. This method is serverless, cost-efficient, and real-time.
Athena (Options A and B) would require exporting data to Amazon S3, and OpenSearch (Option D) adds unnecessary operational complexity.
Thus, Option C provides the most efficient and native AWS CloudOps approach for rapid Lambda error analysis.


NEW QUESTION # 193
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