Quiz 2026 Amazon SOA-C03: AWS Certified CloudOps Engineer - Associate Accurate Free Sample

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| Topic | Details |
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| Topic 1 | - 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.
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| 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.
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| 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.
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| Topic 4 | - 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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| Topic 5 | - 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.
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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q33-Q38):
NEW QUESTION # 33
An environment consists of 100 Amazon EC2 Windows instances. The Amazon CloudWatch agent is deployed and running on all EC2 instances with a baseline configuration file to capture log files. There is a new requirement to capture DHCP log files that exist on 50 of the instances.
What is the MOST operationally efficient way to meet this new requirement?
- A. Log in to each EC2 instance with administrator rights and create a PowerShell script to push logs to CloudWatch.
- B. Run the CloudWatch agent configuration wizard on each EC2 instance and select the advanced detail level.
- C. Run the CloudWatch agent configuration wizard on each EC2 instance and add DHCP logs manually.
- D. Create an additional CloudWatch agent configuration file to capture the DHCP logs. Use AWS Systems Manager Run Command to restart the CloudWatch agent on each EC2 instance with the append-config option.
Answer: D
Explanation:
Comprehensive Explanation (250-350 words):
The CloudWatch agent supports modular configuration using the append-config option, which allows additional log sources to be added without overwriting the existing baseline configuration. This makes it ideal for incremental log collection changes across large fleets.
By creating a separate configuration file specifically for DHCP logs and using Systems Manager Run Command, the CloudOps engineer can remotely update only the relevant instances in a scalable and automated manner. This approach avoids manual login and preserves the existing baseline configuration.
Options B and C require manual intervention on each instance, which is not scalable or operationally efficient.
Option D captures additional logs indiscriminately and does not specifically target DHCP logs, potentially increasing noise and cost.
Therefore, Option A is the most efficient and AWS-recommended approach.
NEW QUESTION # 34
A company uses an organization in AWS Organizations to manage multiple AWS accounts. The company needs to send specific events from all the accounts in the organization to a new receiver account, where an AWS Lambda function will process the events.
A CloudOps engineer configures Amazon EventBridge to route events to a target event bus in the us- west-2 Region in the receiver account. The CloudOps engineer creates rules in both the sender and receiver accounts that match the specified events. The rules do not specify an account parameter in the event pattern. IAM roles are created in the sender accounts to allow PutEvents actions on the target event bus.
However, the first test events from the us-east-1 Region are not processed by the Lambda function in the receiving account.
What is the likely reason the events are not processed?
- A. The resource-based policy on the target event bus must be modified to allow PutEvents API calls from the sender accounts.
- B. Interface VPC endpoints for EventBridge are required in the sender accounts and receiver accounts.
- C. The rule in the receiving account must specify {"account": ["sender-account-id"]} in its event pattern and must include the receiving account ID.
- D. The target Lambda function is in a different AWS Region, which is not supported by EventBridge.
Answer: A
Explanation:
When events are sent across AWS accounts -- particularly from multiple accounts in an AWS Organization -- the target event bus in the receiver account must include a resource-based policy that explicitly allows events:PutEvents API calls from the sender accounts or the organization ID.
Even if the sender accounts have IAM permissions to call PutEvents, the receiving event bus must trust those accounts via a resource policy. Without this configuration, EventBridge automatically rejects incoming cross-account events, and those events never reach the target Lambda function for processing.
AWS guidance states that "Cross-account event delivery requires a resource-based policy on the event bus that grants permissions to the source accounts or organization." The policy can include either individual AWS account IDs or the organization's root ID.
In this scenario, because the events originate from multiple accounts and there is no resource policy on the target event bus to authorize those sender accounts, the events are not delivered.
Therefore, the correct cause is C ?the resource-based policy on the target event bus must be modified to allow PutEvents API calls from the sender accounts.
NEW QUESTION # 35
A company runs applications that generate log files. The company stores the log files in Amazon S3. A CloudOps engineer must automatically process the log files whenever new files upload to the S3 bucket.
Which solution will meet this requirement?
- A. Create an AWS Step Functions state machine with a wait state that monitors the S3 bucket for new files and invokes an AWS Lambda function.
- B. Configure an Amazon CloudWatch event rule that triggers on S3 PUT events and invokes an AWS Lambda function.
- C. Configure an S3 event notification to invoke an AWS Lambda function to process the new log files.
- D. Create a pipeline in AWS CodePipeline with a source stage that monitors the S3 bucket for new files and invokes an AWS Lambda function.
Answer: C
Explanation:
Amazon S3 event notifications are the native mechanism for invoking processing when objects are uploaded to an S3 bucket. The CloudOps engineer can configure the bucket to send ObjectCreated events to an AWS Lambda function, and the Lambda function can process each new log file by using the bucket name and object key from the event payload. This is serverless, event-driven, and has the least operational overhead.
CodePipeline is intended for software delivery workflows, not generic log-file processing. Step Functions is useful for orchestrating multi-step workflows, but polling or waiting for S3 uploads is unnecessary here.
EventBridge can receive some S3 events, but the direct S3 event notification to Lambda is simpler and more targeted for this requirement.
NEW QUESTION # 36
A company is preparing for a marketing campaign that will increase traffic to a new web application. The application uses Amazon API Gateway and AWS Lambda for the application logic. The application stores relevant user data in an Amazon Aurora MySQL DB cluster that has one Aurora Replica. Database queries for the application are 5% write and 95% read.
What should a CloudOps engineer do to scale the database when traffic increases?
- A. Configure AWS Auto Scaling to monitor the Aurora cluster. Configure AWS Auto Scaling to add or remove Aurora Replicas in the cluster based on the average CPU utilization of the primary instance.
- B. Configure Aurora Auto Scaling to increase or decrease the size of the Aurora Replicas based on the average CPU utilization of the Aurora Replicas.
- C. Configure Aurora Auto Scaling to add or remove Aurora Replicas in the cluster based on the average CPU utilization of the Aurora Replicas.
- D. Configure AWS Auto Scaling to monitor the Aurora cluster. Configure AWS Auto Scaling to add or remove Aurora Replicas in the cluster based on the average CPU utilization of the existing Aurora Replica.
Answer: C
Explanation:
Because the application workload is 95% reads, the best database scaling approach is to add or remove Aurora Replicas. Aurora Auto Scaling can automatically adjust the number of Aurora Replicas in a DB cluster based on metrics such as average CPU utilization or average connections across replicas. This allows the read tier to scale as campaign traffic increases while the primary writer continues to handle the smaller write workload.
Option B is incorrect because Aurora Auto Scaling scales the number of replicas; it does not vertically resize existing replicas. Options C and D are worded around generic AWS Auto Scaling rather than Aurora Auto Scaling and use less appropriate metric relationships. Scaling based on replica CPU utilization directly addresses read pressure. Therefore, configure Aurora Auto Scaling for Aurora Replicas.
NEW QUESTION # 37
A company runs an application on a large fleet of Amazon EC2 instances to process financial transactions. The EC2 instances share data by using an Amazon Elastic File System (Amazon EFS) file system.
The company wants to deploy the application to a new Availability Zone and has created new subnets and a mount target in the new Availability Zone. When a SysOps administrator launches new EC2 instances in the new subnets, the EC2 instances are unable to mount the file system.
What is a reason for this issue?
- A. The security group for the mount target does not allow inbound NFS connections from the security group used by the EC2 instances.
- B. The EFS mount target has been created in a private subnet.
- C. The route tables have not been configured to route traffic to a VPC endpoint for Amazon EFS in the new Availability Zone.
- D. The IAM role that is associated with the EC2 instances does not allow the efs:MountFileSystem action.
Answer: A
Explanation:
When you add a new EFS mount target in a new Availability Zone, that mount target has its own security group. For the EC2 instances in that AZ to mount the file system over NFS, the mount target's security group must allow inbound TCP 2049 (NFS) from the EC2 instances' security group.
If that rule isn't there, the instances can see the mount target in the same VPC/AZ but can't complete the NFS connection, so the mount fails.
NEW QUESTION # 38
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