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Amazon SOA-C03 Exam Syllabus Topics:

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

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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q89-Q94):

NEW QUESTION # 89
A company applies user-defined tags to AWS resources. Twenty days after applying the tags, the company notices that the tags cannot be used to filter views in the AWS Cost Explorer console.
What is the reason for this issue?

A. The company has not created an AWS Cost and Usage Report.
B. The company has not activated the user-defined tags for cost allocation.
C. It takes at least 30 days before tags can be used in Cost Explorer.
D. The company has not created a usage budget in AWS Budgets.

Answer: B

Explanation:
User-defined tags must be explicitly activated as cost allocation tags in the AWS Billing and Cost Management console before they can be used in Cost Explorer. Simply applying tags to resources is not sufficient.
Once activated, cost allocation tags can take up to 24 hours to appear in Cost Explorer, but they will not appear at all if activation is not performed. The 30-day delay applies only to historical reporting after activation, not to visibility itself.
Cost and Usage Reports and Budgets are not prerequisites for Cost Explorer filtering.
Therefore, the issue occurs because the tags were not activated for cost allocation.

NEW QUESTION # 90
A company uses an AWS Lambda function to process user uploads to an Amazon S3 bucket.
The Lambda function runs in response to Amazon S3 PutObject events.
A CloudOps engineer needs to set up monitoring for the Lambda function. The CloudOps engineer wants to receive a notification through an Amazon SNS topic if the function takes more than 10 seconds to process an event.
Which solution will meet this requirement?

A. Use Amazon CloudWatch Logs Insights to query Lambda logs for the function runtime. Set up a CloudWatch alarm based on the query result. Configure Amazon SNS to send notifications when function runtime exceeds 10 seconds.
B. Collect Amazon CloudWatch logs for the Lambda function. Create a metric filter to extract the PostRuntimeExtensionsDuration metric from the logs. Create a CloudWatch alarm to publish a notification to the SNS topic when the function runtime exceeds 10 seconds.
C. Configure an Amazon CloudWatch metric filter to capture the runtime of the Lambda function. Set the function's timeout setting to 10 seconds. Create an SNS subscription to alert the CloudOps engineer if the function times out.
D. Collect Amazon CloudWatch metrics for the Lambda function to extract the function runtime.
Create a CloudWatch alarm to publish a notification to the SNS topic when the runtime exceeds
10 seconds.

Answer: D

Explanation:
AWS Lambda automatically publishes the Duration metric to Amazon CloudWatch, which records how long each invocation runs. A CloudWatch alarm can monitor this metric and publish to the SNS topic when execution duration exceeds 10 seconds, providing the required notification without custom log parsing.

NEW QUESTION # 91
A company hosts a web application on an Amazon EC2 instance. The web server logs are published to Amazon CloudWatch Logs. The log events have the same structure and include the HTTP response codes associated with user requests. The company needs to monitor the number of times the web server returns an HTTP 404 response.
What is the MOST operationally efficient solution that meets these requirements?

A. Create a script that runs a CloudWatch Logs Insights query every hour.
B. Create an AWS Lambda function that runs a CloudWatch Logs Insights query every hour.
C. Create a CloudWatch Logs metric filter that counts the number of times the web server returns an HTTP 404 response.
D. Create a CloudWatch Logs subscription filter that counts the number of HTTP 404 responses.

Answer: C

Explanation:
Comprehensive Explanation (250-350 words):
CloudWatch Logs metric filters allow log data to be converted into CloudWatch metrics in near real time.
This enables continuous monitoring without custom code or scheduled queries. Metric filters are ideal when log events have a consistent structure and specific patterns, such as HTTP response codes.
By defining a metric filter that matches HTTP 404 responses, CloudWatch can increment a metric each time a
404 occurs. This metric can then be used for dashboards, alarms, and trend analysis. This approach is fully managed, scalable, and requires minimal operational effort.
Options B, C, and D rely on subscription filters or periodic queries, which introduce unnecessary complexity, latency, and maintenance overhead. Therefore, metric filters are the most efficient solution.

NEW QUESTION # 92
A company has an AWS Lambda function in Account A. The Lambda function needs to read the objects in an Amazon S3 bucket in Account B. A CloudOps engineer must create corresponding IAM roles in both accounts. Which solution will meet these requirements?

A. In Account A, create a role that the function can assume. In Account B, create a Lambda execution role that provides access to the S3 bucket.
B. In Account A, create a Lambda execution role to assume the role in Account B. In Account B, create a role that the function can assume to gain access to the S3 bucket.
C. In Account A, create a Lambda execution role that provides access to the S3 bucket. In Account B, create a role that the function can assume.
D. In Account A, create a role that the function can assume to gain access to the S3 bucket. In Account B, create a Lambda execution role to assume the role in Account A.

Answer: B

Explanation:
For cross-account access, the Lambda function in Account A needs an execution role that permits it to call sts:AssumeRole on a role in Account B. The role in Account B must trust the Lambda execution role from Account A and must have permissions to read the target S3 bucket objects. This follows the standard AWS cross-account access model: the resource-owning account creates a role with permissions to the resource, and the external workload assumes that role. Option B is incomplete because permissions granted only in Account A do not automatically grant access to resources in Account B. Options C and D reverse the trust relationship incorrectly. The secure CloudOps model is cross-account role assumption with least privilege:
Lambda execution role in Account A assumes a read-only S3 access role in Account B.

NEW QUESTION # 93
A company has users that deploy Amazon EC2 instances with more Amazon EBS performance capacity than required. A CloudOps engineer must review all EBS volumes and create cost optimization recommendations based on IOPS and throughput.
What should the CloudOps engineer do in the MOST operationally efficient way?

A. Run fio benchmarks on each instance.
B. Opt in to AWS Compute Optimizer and review EBS volume recommendations.
C. Change instance types to EBS-optimized.
D. Review EC2 console monitoring graphs manually.

Answer: B

Explanation:
Comprehensive Explanation (250-350 words):
AWS Compute Optimizer analyzes historical utilization metrics and provides rightsizing recommendations for EBS volumes, including IOPS and throughput. It is fully managed, continuously updated, and requires minimal operational effort.
Manual reviews and benchmarking do not scale. Changing instance types does not address EBS overprovisioning.
Therefore, AWS Compute Optimizer is the best solution.

NEW QUESTION # 94
......

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