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[General] New SOA-C03 Exam Book, SOA-C03 Exam Fee

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【General】 New SOA-C03 Exam Book, SOA-C03 Exam Fee

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Amazon SOA-C03 Exam Syllabus Topics:
TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 4
  • 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 5
  • 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.

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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q105-Q110):NEW QUESTION # 105
A company has a critical serverless application that uses multiple AWS Lambda functions. Each Lambda function generates 1 GB of log data daily in its own Amazon CloudWatch Logs log group. The company's security team asks for a count of application errors, grouped by type, across all of the log groups.
What should a CloudOps engineer do to meet this requirement?
  • A. Perform an Amazon Athena query that uses the SELECT and GROUP BV keywords.
  • B. Perform a CloudWatch Logs search that uses the groupby keyword and count function.
  • C. Perform an Amazon RDS query that uses the SELECT and GROUP BY keywords.
  • D. Perform a CloudWatch Logs Insights query that uses the stats command and count function.
Answer: D
Explanation:
CloudWatch Logs Insights is purpose-built for querying and aggregating log data across multiple log groups. Using the stats command with the count() function allows the CloudOps engineer to efficiently group and count specific error types from all Lambda log groups in one query, providing an aggregated view of application errors with minimal effort and without data export or external tools.

NEW QUESTION # 106
A company has a VPC that contains a public subnet and a private subnet. The company deploys an Amazon EC2 instance that uses an Amazon Linux Amazon Machine Image (AMI) and has the AWS Systems Manager Agent (SSM Agent) installed in the private subnet. The EC2 instance is in a security group that allows only outbound traffic.
A CloudOps engineer needs to give a group of privileged administrators the ability to connect to the instance through SSH without exposing the instance to the internet.
Which solution will meet this requirement?
  • A. Create an EC2 Instance Connect endpoint in the private subnet. Update the security group to allow inbound SSH traffic. Create an IAM group for privileged administrators. Assign the PowerUserAccess managed policy to the IAM group.
  • B. Create a Systems Manager endpoint in the public subnet. Create an IAM role that has the AmazonSSMManagedInstanceCore permission for the EC2 instance. Create an IAM group for privileged administrators. Assign the AmazonEC2ReadOnlyAccess IAM policy to the IAM group.
  • C. Create an EC2 Instance Connect endpoint in the public subnet. Update the security group to allow SSH traffic from the private network. Create an IAM group for privileged administrators. Assign the PowerUserAccess managed policy to the IAM group.
  • D. Create a Systems Manager endpoint in the private subnet. Update the security group to allow SSH traffic from the private network where the Systems Manager endpoint is connected. Create an IAM group for privileged administrators. Assign the PowerUserAccess managed policy to the IAM group.
Answer: A
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Doocuments:
EC2 Instance Connect Endpoint (EIC Endpoint) enables SSH to instances in private subnets without public IPs and without needing to traverse the public internet. CloudOps guidance explains that you deploy the endpoint in the same VPC/subnet as the targets, then allow inbound SSH on the instance security group from the endpoint's security group. Access is governed by IAM-administrators must have Instance Connect permissions; while the example uses a broad policy, the key mechanism is EIC in the private subnet plus SG rules scoped to the endpoint. Systems Manager Session Manager can provide shell access without SSH, but the requirement explicitly states "connect through SSH," making EIC the purpose-built solution. Options B and D misuse Systems Manager for SSH and propose unnecessary SG changes or incorrect endpoint placement; Option C places the endpoint in a public subnet, which is not required for private SSH access. Therefore, creating an EC2 Instance Connect endpoint in the private subnet and updating SGs accordingly meets the requirement while keeping the instance non-internet-exposed.
References (AWS CloudOps Documents / Study Guide):
* AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide - Security and Compliance
* Amazon EC2 - Instance Connect Endpoint (Private SSH Access)
* AWS Well-Architected Framework - Security Pillar (Least Privilege Network Access)

NEW QUESTION # 107
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. Modify the distribution settings to specify the protocol as HTTPS only.
  • B. Configure the CloudFront distribution to add a custom Cache-Control header to requests for content from the S3 bucket.
  • C. Attach the CachingOptimized managed cache policy to the distribution.
  • D. Create a CloudFront invalidation.
Answer: D
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 # 108
A company has an AWS CloudFormation template that includes an AWS::EC2::Instance resource and a custom resource (Lambda function). The Lambda function fails because it runs before the EC2 instance is launched.
Which solution will resolve this issue?
  • A. Add a DependsOn attribute to the custom resource. Specify the EC2 instance in the DependsOn attribute.
  • B. Update the Lambda function to use the cfn-response module to send a response to the custom resource.
  • C. Update the custom resource's service token to point to a valid Lambda function.
  • D. Use the Fn::If intrinsic function to check for the EC2 instance before the custom resource runs.
Answer: A
Explanation:
The AWS Cloud Operations and Infrastructure-as-Code documentation specifies that when using AWS CloudFormation, resources are created in parallel by default unless explicitly ordered using DependsOn.
If a custom resource (Lambda) depends on another resource (like an EC2 instance) to exist before execution, a DependsOn attribute must be added to enforce creation order. This ensures the EC2 instance is launched and available before the custom resource executes its automation logic.
Updating the service token (Option B) doesn't affect order of execution. The cfn-response module (Option C) handles callback communication but not sequencing. Fn::If (Option D) is for conditional creation, not dependency control.
Therefore, Option A is correct - adding a DependsOn attribute guarantees that CloudFormation provisions the EC2 instance before executing the Lambda custom resource.
Reference: AWS Cloud Operations & Infrastructure-as-Code Guide - Using DependsOn for Resource Creation Order in CloudFormation Templates

NEW QUESTION # 109
A SysOps administrator needs to implement a solution that protects credentials for an Amazon RDS for MySQL DB instance. The solution must rotate the credentials automatically one time every week.
Which combination of steps will meet these requirements? (Select TWO.)
  • A. Add the credentials to AWS Systems Manager Parameter Store.
  • B. Configure an RDS proxy to store the credentials.
  • C. Create an AWS Lambda function to rotate the credentials.
  • D. Create an AWS Systems Manager Automation runbook to rotate the credentials.
  • E. Add the credentials to AWS Secrets Manager.
Answer: C,E
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Documents:
The correct answers are B and D. AWS CloudOps documentation clearly states that AWS Secrets Manager is the recommended service for storing and managing database credentials securely. Secrets Manager integrates natively with Amazon RDS and supports automatic, scheduled secret rotation.
To rotate credentials weekly, Secrets Manager requires a Lambda rotation function. AWS provides managed rotation templates for Amazon RDS for MySQL that update the database password and the stored secret atomically. This combination ensures credentials are protected, rotated automatically, and audited with minimal operational effort.
Option A is incorrect because RDS Proxy does not store or rotate credentials; it only retrieves them from Secrets Manager. Option C is incorrect because Systems Manager Parameter Store does not support native automatic rotation. Option E is incorrect because Automation runbooks are not the recommended mechanism for secrets rotation and add unnecessary complexity.
AWS CloudOps best practices strongly recommend Secrets Manager with Lambda-based rotation for database credential protection and compliance.
References:
AWS Secrets Manager User Guide - Automatic Rotation
Amazon RDS User Guide - Credential Management
AWS SysOps Administrator Study Guide - Secrets and Key Management

NEW QUESTION # 110
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