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Amazon SOA-C03 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 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 (Q159-Q164):

NEW QUESTION # 159
An application uses an Amazon Aurora MySQL DB cluster that includes one Aurora Replica. The application's read performance degrades when there are more than 200 user connections. The number of user connections is approximately 180 on a consistent basis. Occasionally, the number of user connections increases rapidly to more than 200.
A CloudOps engineer must implement a solution that will scale the application automatically as user demand increases or decreases.
Which solution will meet these requirements?

A. Modify the DB cluster by changing to serverless mode whenever the number of user connections exceeds 200.
B. Migrate to a new Aurora DB cluster that has multiple writer instances. Modify the application's database connection string.
C. Modify the DB cluster by increasing the Aurora Replica instance size.
D. Create an auto scaling policy that has a target value of 195 for the DatabaseConnections metric.

Answer: D

Explanation:
Aurora Auto Scaling can automatically add or remove Aurora Replicas based on target metrics, including average connections across Aurora Replicas. AWS documentation lists "Average connections of Aurora Replicas" as a target metric when adding an auto scaling policy to an Aurora DB cluster. Because performance degrades above 200 connections and baseline usage is around 180, setting a target near 195 allows scaling to begin before the connection count crosses the problem threshold.

NEW QUESTION # 160
A CloudOps engineer needs to implement a backup strategy for Amazon EC2 resources and Amazon RDS resources. The backup strategy must meet the following retention requirements:
- Daily backups: must be kept for 6 days
- Weekly backups: must be kept for 4 weeks
- Monthly backups: must be kept for 11 months
- Yearly backups: must be kept for 7 years
Which backup strategy will meet these requirements with the LEAST administrative effort?

A. Use AWS Backup to create a new backup plan for each retention requirement with a backup frequency of daily, weekly, monthly, or yearly. Set the retention period to match the requirement.
Create tags on each resource that needs to be backed up. Set up resource assignment by using the tags.
B. Use Amazon Data Lifecycle Manager to create an Amazon EBS snapshot policy. Create tags on each resource that needs to be backed up. Create multiple schedules according to the requirements within the policy. Set the appropriate frequency and retention period.
C. Use Amazon Data Lifecycle Manager to create an Amazon EBS snapshot policy. Create tags on each resource that needs to be backed up. Set up resource assignment by using the tags. Create multiple schedules according to the requirements within the policy. Set the appropriate frequency and retention period. In Amazon RDS, activate automated backups on the required DB instances.
D. Create an AWS Lambda function. Program the Lambda function to use native tooling to take backups of file systems in Amazon EC2 and to make copies of databases in Amazon RDS.
Create an Amazon EventBridge rule to invoke the Lambda function.

Answer: A

Explanation:
AWS Backup provides centralized backup management for both Amazon EC2 and Amazon RDS resources. Separate backup plans can implement the required daily, weekly, monthly, and yearly schedules with matching retention periods, while tag-based resource assignments automatically include the appropriate resources. This provides the required retention strategy with the least administrative effort.

NEW QUESTION # 161
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?

A. Attach the CachingOptimized managed cache policy to the distribution.
B. Modify the distribution settings to specify the protocol as HTTPS only.
C. Create a CloudFront invalidation.
D. Configure the CloudFront distribution to add a custom Cache-Control header to requests for content from the S3 bucket.

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.

NEW QUESTION # 162
A company uses AWS CloudFormation stacks to manage its infrastructure. The company's developers commit infrastructure changes to the company's Git repository. The company wants to automate updates to the CloudFormation stacks when developers commit changes. The company requires change set generation before deployment and notification of pending changes for approval. The solution must also minimize infrastructure maintenance overhead. Which solution will meet these requirements?

A. Use AWS Systems Manager Automation to scan the Git repository for changes. Create a change set and deploy the CloudFormation stack.
B. Create an AWS Lambda function that creates the CloudFormation change sets, runs the change sets, and waits for approval. Set up an Amazon EventBridge rule to invoke the Lambda function when developers commit code to the Git repository.
C. Create a pipeline in AWS CodePipeline with GitHub as the source provider. Configure a CloudFormation deploy action to create change sets. Use Amazon SNS to send approval notifications.
D. Use CloudFormation Git sync to automatically deploy changes when developers push commits to the repository. Configure Amazon EventBridge to trigger an Amazon SNS notification after each deployment is complete.

Answer: C

Explanation:
AWS CodePipeline is the correct managed CI/CD service for automating infrastructure deployments from a Git repository while preserving approval gates. A pipeline can use GitHub or another supported source provider, create CloudFormation change sets, and include a manual approval action before executing the change set. Notifications can be sent through Amazon SNS so approvers are informed before deployment proceeds. This meets all requirements: automated updates, change set generation, approval notification, and low infrastructure maintenance.
CloudFormation Git sync can automate stack updates from a repository, but the option describes notification only after deployment, which does not satisfy the pending approval requirement. A Lambda-based workflow would require custom orchestration and approval handling. Systems Manager Automation is not the standard Git-driven CloudFormation deployment pipeline tool.
Therefore, CodePipeline with CloudFormation change sets is best.

NEW QUESTION # 163
A company runs multiple Amazon EC2 instances that are distributed across multiple AWS Regions. The company uses AWS Systems Manager tools to manage the EC2 instances. The company needs to deploy an auditing software package onto every instance to record user logins and any actions that users take.
A CloudOps engineer must implement a solution that automatically installs the auditing software on all existing EC2 instances. The solution also must automatically install the auditing software on any new EC2 instances when they are launched.
Which solution will meet these requirements?

A. Load the installer for the auditing software into an Amazon S3 bucket. Connect to every instance by using Systems Manager Fleet Manager Remote Desktop. Download the installer by using the AWS CLI. Run the installer manually.
B. Create a Systems Manager Distributor package that includes the auditing software. Store the package in an Amazon S3 bucket. Create a Systems Manager State Manager association in each Region to install the software package on all managed instances in the company's AWS account.
C. Create an Amazon EventBridge rule to react to Amazon EC2 RunInstances events. Configure the rule to modify the events to include a step that runs the software installer. Reboot all the instances.
D. Create an AWS Lambda function that calls the software installer. Merge the auditing software into the Lambda function by using Lambda layers. Run the Lambda function from each instance by using a scheduled Amazon EventBridge rule.

Answer: B

Explanation:
Systems Manager Distributor can package and distribute software to managed instances, and Systems Manager State Manager can enforce that the package remains installed across all targeted instances. Creating associations in each Region ensures the auditing software is automatically installed on existing managed EC2 instances and on new managed instances after they launch.

NEW QUESTION # 164
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