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Amazon SOA-C03 Exam Syllabus Topics:

Section	Weight	Objectives
Security and Compliance	16%	- Implement data protection 1. Manage SSL/TLS certificates using AWS Certificate Manager 2. Configure encryption at rest and in transit - Implement and manage security controls 1. Configure IAM users, groups, roles, and policies 2. Implement security groups, NACLs, and AWS WAF - Ensure compliance requirements are met 1. Enforce compliance requirements (e.g., Region and service selections) 2. Use AWS Config, AWS CloudTrail, and Amazon GuardDuty for compliance monitoring
Deployment, Provisioning, and Automation	22%	- Provision and maintain AWS resources 1. Manage stacks of resources by using CloudFormation 2. Create and manage infrastructure as code using AWS CloudFormation and AWS CDK - Implement automation for operational tasks 1. Use AWS Systems Manager for patch management and maintenance 2. Automate deployments using AWS CodeDeploy, AWS CodePipeline - Manage configuration and secrets 1. Use AWS Systems Manager Parameter Store and AWS Secrets Manager 2. Implement configuration management strategies
Reliability and Business Continuity	22%	- Implement backup and recovery strategies 1. Implement disaster recovery procedures and test recovery processes 2. Configure AWS Backup for automated backups - Implement scalability and elasticity 1. Implement load balancing strategies using ELB 2. Configure Auto Scaling groups and policies - Implement high availability and fault tolerance 1. Configure multi-AZ and multi-Region architectures 2. Deploy resources across multiple Availability Zones
Networking and Content Delivery	18%	- Implement and manage networking configurations 1. Implement VPC peering, AWS Transit Gateway, and VPN connections 2. Configure VPCs, subnets, route tables, and internet gateways - Implement network security and troubleshooting 1. Configure network access control lists (NACLs) and security groups 2. Troubleshoot network connectivity issues using VPC Flow Logs - Configure DNS and content delivery 1. Manage Amazon Route 53 hosted zones and routing policies 2. Configure Amazon CloudFront distributions
Monitoring, Logging, Analysis, Remediation, and Performance Optimization	22%	- Implement metrics, alarms, and filters by using AWS monitoring and logging services 1. Configure and manage the CloudWatch agent to collect metrics and logs from EC2 instances, Amazon ECS clusters, or Amazon EKS clusters 2. Configure AWS monitoring and logging by using AWS services (e.g., Amazon CloudWatch, AWS CloudTrail) 3. Create and manage CloudWatch alarms, dashboards, and metric filters - Optimize performance of AWS resources 1. Use AWS Compute Optimizer and AWS Trusted Advisor for performance recommendations 2. Implement performance tuning for EC2 instances, databases, and other AWS services - Implement remediation actions based on monitoring and logging data 1. Troubleshoot and resolve operational issues using monitoring data 2. Configure automated remediation using AWS Systems Manager, AWS Lambda, or Amazon EventBridge

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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q312-Q317):

NEW QUESTION # 312
A medical research company uses an Amazon Bedrock powered AI assistant with agents and knowledge bases to provide physicians quick access to medical study protocols. The company needs to generate audit reports that contain user identities, usage data for Bedrock agents, access data for knowledge bases, and interaction parameters.
Which solution will meet these requirements?

A. Use AWS CloudTrail to capture generative AI application logs. Stream the logs to Amazon Managed Service for Apache Flink. Use SQL queries to generate reports.
B. Use Amazon CloudWatch to log API events from generative AI workloads. Send the events to an Amazon S3 bucket. Use Amazon Athena queries to generate reports.
C. Use Amazon CloudWatch to capture generative AI application logs. Stream the logs to Amazon OpenSearch Service. Use an OpenSearch dashboard visualization to generate reports.
D. Use AWS CloudTrail to log API events from generative AI workloads. Store the events in CloudTrail Lake. Use SQL-like queries to generate reports.

Answer: D

Explanation:
As per AWS Cloud Operations, Bedrock, and Governance documentation, AWS CloudTrail is the authoritative service for capturing API activity and audit trails across AWS accounts. For Amazon Bedrock
, CloudTrail records all user-initiated API calls, including interactions with agents, knowledge bases, and generative AI model parameters.
Using CloudTrail Lake, organizations can store, query, and analyze CloudTrail events directly without needing to export data. CloudTrail Lake supports SQL-like queries for generating audit and compliance reports, enabling the company to retrieve information such as user identity, API usage, timestamp, model or agent ID, and invocation parameters.
In contrast, CloudWatch focuses on operational metrics and log streaming, not API-level identity data.
OpenSearch or Flink would add unnecessary complexity and cost for this use case.
Thus, the AWS-recommended CloudOps best practice is to leverage CloudTrail with CloudTrail Lake to maintain auditable, queryable API activity for Bedrock workloads, fulfilling governance and compliance requirements.
Reference: AWS Cloud Operations & Governance Guide - Section: Auditing and Governance for Generative AI Workloads Using AWS CloudTrail and CloudTrail Lake

NEW QUESTION # 313
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.)

A. The user's IAM policy explicitly denies the s3:ListBucket action.
B. The user's IAM policy does not allow the cloudformation:CreateStack action.
C. The user's IAM policy does not allow the cloudformation:CreateStackSet action.
D. The user's IAM policy does not allow the s3:CreateBucket action.
E. The user's IAM policy explicitly denies the s3:PutObject action.

Answer: B,D

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 # 314
A company's application servers in AWS account 111122223333 use a security group sg-
1234abcd. They need to access a database hosted in account 444455556666. The VPCs are connected using a VPC peering connection (pcx-b04deed9).
A CloudOps engineer must configure the database's security group to allow new connections only from the application servers.
What should the engineer do?

A. Add an inbound rule to the database's security group. Reference 111122223333/sg-1234abcd as the source.
B. Add an inbound rule to the database's security group. Reference 444455556666/sg-1234abcd as the source.
C. Add an inbound rule to the database's security group. Reference sg-1234abcd as the source.
D. Add an inbound rule to the database's security group. Reference pcx-b04deed9/sg-1234abcd as the source.

Answer: C

Explanation:
According to AWS Cloud Operations and VPC Networking documentation, when VPCs are peered, security groups can reference peer account security groups directly to restrict traffic between them.
This feature allows specifying the security group ID (sg-1234abcd) from the source account (111122223333) in the target database's security group inbound rule. AWS automatically validates that the VPCs are connected through an existing VPC peering connection and that mutual permissions are properly configured.
You do not prefix the security group ID with the account or peering connection (Options A and B), and using the destination account ID (Option D) is incorrect because it represents the database side, not the source.
Hence, the correct configuration is Option C, which references the application servers' security group directly for precise, least-privilege access control.

NEW QUESTION # 315
A logistics company wants to run containerized applications on Amazon ECS behind an Application Load Balancer. The company wants to use a phased release method to test new application versions and gradually increase traffic shift. The company wants to start with 10% of the traffic to the new version, with 10% increments every 3 minutes until the traffic is fully shifted.
Which deployment strategy will meet these requirements?

A. Blue/green deployment strategy.
B. Linear deployment strategy.
C. Rolling deployment strategy.
D. Canary deployment strategy.

Answer: B

Explanation:
The traffic pattern described is a linear deployment: shift a fixed percentage of traffic at fixed time intervals until the new version receives 100% of traffic. AWS CodeDeploy for Amazon ECS includes a predefined deployment configuration named CodeDeployDefault.ECSLinear10PercentEvery3Minutes, which shifts 10% of traffic every 3 minutes until all traffic is shifted. A canary deployment sends an initial small percentage to the new version and then shifts the remaining traffic after a bake period, not in equal repeated increments. A rolling deployment replaces tasks in batches but does not express ALB traffic shifting percentages in this way.
Blue/green is the broader deployment model used by CodeDeploy, but the specific release strategy requested is linear. Therefore, option D is correct.

NEW QUESTION # 316
A company's website runs on an Amazon EC2 Linux instance. The website needs to serve PDF files from an Amazon S3 bucket. All public access to the S3 bucket is blocked at the account level. The company needs to allow website users to download the PDF files.
Which solution will meet these requirements with the LEAST administrative effort?

A. Deploy an EC2 instance that has an IAM instance profile to a public subnet. Use a signed URL from the EC2 instance to provide temporary access to the S3 bucket for website users.
B. Change the S3 bucket permissions to allow public access on the source S3 bucket. Assign a company employee to provide a PDF file URL to users when users request the PDF files.
C. Create an IAM role that has a policy that allows s3:list* and s3:get* permissions. Assign the role to the EC2 instance. Assign a company employee to download requested PDF files to the EC2 instance and deliver the files to website users. Create an AWS Lambda function to periodically delete local files.
D. Create an Amazon CloudFront distribution that uses an origin access control (OAC) that points to the S3 bucket. Apply a bucket policy to the bucket to allow connections from the CloudFront distribution. Assign a company employee to provide a download URL that contains the distribution URL and the object path to users when users request PDF files.

Answer: D

Explanation:
Per the AWS Cloud Operations, Networking, and Security documentation, the best practice for serving private S3 content securely to end users is to use Amazon CloudFront with Origin Access Control (OAC).
OAC enables CloudFront to access S3 buckets privately, even when Block Public Access settings are enabled at the account level. This allows content to be delivered globally and securely without making the S3 bucket public. The bucket policy explicitly allows access only from the CloudFront distribution, ensuring that users can retrieve PDF files only via CloudFront URLs.
This configuration offers:
Automatic scalability through CloudFront caching,
Improved security via private access control,
Minimal administration effort with fully managed services.
Other options require manual handling or make the bucket public, violating AWS security best practices.
Therefore, Option B-using CloudFront with Origin Access Control and a restrictive bucket policy-provides the most secure, efficient, and low-maintenance CloudOps solution.

NEW QUESTION # 317
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