SOA-C03 Valid Exam Question | Question SOA-C03 Explanations

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Amazon SOA-C03 Exam Overview:

Certification Vendor:AWS
Exam Name:AWS Certified CloudOps Engineer - Associate
Exam Number:SOA-C03
Real Exam Qty:65 (50 scored, 15 unscored)
Passing Score:720 (scaled score, out of 100-1000)
Exam Format:Multiple response, Multiple choice
Available Languages:Japanese, English, Simplified Chinese, Korean
Related Certifications:AWS Certified CloudOps Engineer - Associate
Exam Duration:130 minutes
Exam Price:USD 150
Certificate Validity Period:3 years
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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Amazon SOA-C03 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
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
  • 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.

Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q143-Q148):

NEW QUESTION # 143
A company's reporting job that used to run in 15 minutes is now taking an hour to run. An application generates the reports. The application runs on Amazon EC2 instances and extracts data from an Amazon RDS for MySQL database.
A CloudOps engineer checks the Amazon CloudWatch dashboard for the RDS instance and notices that the Read IOPS metrics are high, even when the reports are not running. The CloudOps engineer needs to improve the performance and the availability of the RDS instance.
Which solution will meet these requirements?

Answer: C

Explanation:
The reporting workload is read-heavy, and the database shows high Read IOPS even outside the report window, suggesting sustained read pressure from other workloads or inefficient read patterns. The requirement is to improve both performance and availability of the RDS for MySQL instance. An RDS read replica is designed specifically to offload read traffic from the primary database instance and to provide additional capacity for read-heavy use cases such as reporting, analytics queries, and dashboards.
By deploying one or more read replicas, the company can direct the reporting job to a replica (Option B). This reduces contention on the primary instance, lowers read I/O demand on the writer, and can improve overall query latency and throughput. In addition, read replicas can contribute to availability objectives: if the primary instance has issues, replicas can be promoted (manually or as part of certain DR patterns) to become a new standalone database, reducing recovery time for read availability and providing a practical resilience option.
Option A (ElastiCache) can help for highly cacheable and repetitive queries, but it requires application/query redesign and cache invalidation strategy, and it does not inherently improve database availability. Option C is not valid because CloudFront is a CDN for HTTP content and is not an appropriate layer for database queries.
Option D (vertical scaling) can improve performance, but it does not offload reads and often involves higher cost; it also does not provide the same availability and read scaling benefits as replicas.
Therefore, adding an RDS read replica and pointing the reporting workload to the reader endpoint best meets the performance and availability requirements.


NEW QUESTION # 144
A company has an AWS CloudFormation template that creates an Amazon S3 bucket. A user authenticates to the corporate AWS account with their Active Directory credentials and attempts to deploy the CloudFormation template. However, the stack creation fails.
Which factors could cause this failure? (Select TWO.)

Answer: B,C

Explanation:
To create a CloudFormation stack, the user must have permission to call cloudformation:CreateStack. In addition, CloudFormation uses the caller's permissions unless a service role is provided. Because the template creates an S3 bucket, the deployment also requires permission for s3:CreateBucket. If either permission is missing, stack creation can fail. cloudformation:CreateStackSet is not required because the question is about creating a normal stack, not deploying StackSets across accounts or Regions. s3:ListBucket and s3:PutObject are not the direct required permissions for creating the bucket resource in this scenario. AWS CloudFormation creates and configures resources based on permissions available to the caller or the assigned service role, so missing stack-creation or resource-creation permissions are valid causes of failure.


NEW QUESTION # 145
A CloudOps engineer is responsible for a company's disaster recovery procedures. The company has a source Amazon S3 bucket in a production account, and it wants to replicate objects from the source to a destination S3 bucket in a nonproduction account. The CloudOps engineer configures S3 cross-Region, cross-account replication to copy the source S3 bucket to the destination S3 bucket. When the CloudOps engineer attempts to access objects in the destination S3 bucket, they receive an Access Denied error.
Which solution will resolve this problem?

Answer: A

Explanation:
In cross-account S3 replication, by default, replicated objects are owned by the source account, which causes Access Denied errors when the destination account tries to access them. To resolve this, you must enable the "change object ownership to destination bucket owner" option (using the AccessControlTranslation property in the replication configuration). This ensures the destination account owns the replicated objects and can access them without permission issues.


NEW QUESTION # 146
A company hosts a static website in Amazon S3 behind an Amazon CloudFront distribution. When new versions are deployed, users sometimes do not see updated content immediately.
Which solution will meet this requirement?

Answer: C

Explanation:
The AWS Cloud Operations and Content Delivery documentation explains that Amazon CloudFront caches objects in edge locations for a defined time based on TTL settings or origin headers. When new content is deployed to the S3 origin, previously cached versions remain in edge caches until they expire.
To immediately serve the new version, CloudOps engineers must initiate a CloudFront invalidation, which removes cached objects from all edge locations. This forces CloudFront to fetch the latest version from the origin (S3).
Invalidations can target individual objects (e.g., /index.html) or wildcard paths (e.g., /*) and are the AWS- recommended approach for dynamic content refresh after static site updates.
Changing headers (Option A), enforcing HTTPS (Option B), or applying caching policies (Option C) do not directly refresh outdated cache content.
Thus, Option D - issuing a CloudFront invalidation - ensures users receive the latest website content immediately after deployment.
Reference: AWS Cloud Operations & Content Delivery Guide - Using Invalidation to Refresh Cached Content in CloudFront


NEW QUESTION # 147
A CloudOps engineer is using AWS Compute Optimizer to generate recommendations for a fleet of Amazon EC2 instances. Some of the instances use newly released instance types, while other instances use older instance types.
After the analysis is complete, the CloudOps engineer notices that some of the EC2 instances are missing from the Compute Optimizer dashboard.
What is the likely cause of this issue?

Answer: C

Explanation:
According to the AWS Cloud Operations and Compute Optimizer documentation, Compute Optimizer provides right-sizing recommendations by analyzing Amazon CloudWatch metrics and instance configuration data. However, AWS explicitly notes that only supported instance types are included in Compute Optimizer analyses. If an EC2 instance type is newly released or not yet supported by Compute Optimizer, it will not appear in the Compute Optimizer dashboard until official support is added.
The documentation explains that "Compute Optimizer analyses only supported resource types and instance families. Instances using unsupported or newly launched instance types will not appear in the Compute Optimizer console." This ensures the service provides accurate recommendations based on sufficient performance history and benchmark data.
While CloudWatch metrics are required for analysis, the complete absence of instances from the dashboard - rather than "insufficient metric data" notifications - indicates unsupported instance types. Compute Optimizer would normally still display those with limited metrics but would flag them as "insufficient data," not remove them entirely.
Therefore, the most accurate cause of missing instances in this case is that Compute Optimizer does not support the newly released instance types, making option B correct.


NEW QUESTION # 148
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