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Amazon SOA-C03 AWS Certified CloudOps Engineer - Associate Dumps - Easy To Prepare Exam [2026]
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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q123-Q128):
NEW QUESTION # 123
A company uses Amazon ElastiCache (Redis OSS) to cache application data. A CloudOps engineer must implement a solution to increase the resilience of the cache. The solution also must minimize the recovery time objective (RTO).
Which solution will meet these requirements?
- A. Create a read replica in a second Availability Zone. Enable Multi-AZ for the ElastiCache (Redis OSS) replication group.
- B. Create an Amazon EventBridge rule to initiate a backup every hour. Restore the backup when necessary.
- C. Replace ElastiCache (Redis OSS) with ElastiCache (Memcached).
- D. Enable automatic backups. Restore the backups when necessary.
Answer: A
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Doocuments:
For high availability and fast failover, ElastiCache for Redis supports replication groups with Multi-AZ and automatic failover. CloudOps guidance states that a primary node can be paired with one or more replicas across multiple Availability Zones; if the primary fails, Redis automatically promotes a replica to primary in seconds, thereby minimizing RTO. This architecture maintains in-memory data continuity without waiting for backup restore operations. Backups (Options B and D) provide durability but require restore and re-warm procedures that increase RTO and may impact application latency. Switching engines (Option A) to Memcached does not provide Redis replication/failover semantics and would not inherently improve resilience for this use case. Therefore, creating a read replica in a different AZ and enabling Multi-AZ with automatic failover is the prescribed CloudOps pattern to increase resilience and achieve the lowest practical RTO for Redis caches.
References:* AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide - Reliability and Business Continuity* Amazon ElastiCache for Redis - Replication Groups, Multi-AZ, and Automatic Failover* AWS Well-Architected Framework - Reliability Pillar
NEW QUESTION # 124
A company uses Amazon S3 for object storage. A CloudOps engineer notices that the company's Amazon S3 usage has doubled every month across all the company's S3 buckets for the previous year. The company stores and consumes data in the same AWS Region where the data is generated. The company never accesses data that is older than 30 days. The CloudOps engineer needs to optimize Amazon S3 costs for the company.
Which solution will meet this requirement with the LEAST operational overhead?
- A. Use S3 Storage Lens to identify objects that are older than 30 days across all S3 buckets.
- B. Modify the object creation lifecycle to check for and delete any objects that were created more than 30 days ago.
- C. Configure an S3 Lifecycle policy to expire any object that was created more than 30 days ago.
- D. Create an AWS Lambda function to delete data that is older than 30 days. Use an Amazon EventBridge cron expression to invoke the function monthly.
Answer: C
Explanation:
S3 Lifecycle policies are the correct managed mechanism for automatically expiring objects after a defined age. Because the company never accesses data older than 30 days, an expiration rule can delete objects after
30 days and reduce storage growth without custom code. This has the least operational overhead because S3 performs the expiration automatically. Option A introduces Lambda code, scheduling, permissions, retries, and edge-case handling, which is unnecessary. S3 Storage Lens can identify usage trends and aging objects, but it does not itself delete objects or enforce retention. Option C is vague and not an AWS-managed configuration as written. For CloudOps cost optimization, lifecycle expiration is the standard approach when objects have a predictable retention period and no long-term access requirement.
NEW QUESTION # 125
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. Configure an S3 event notification to invoke an AWS Lambda function to process the new log files.
- B. Create a pipeline in AWS CodePipeline with a source stage that monitors the S3 bucket for new files and invokes an AWS Lambda function.
- C. Configure an Amazon CloudWatch event rule that triggers on S3 PUT events and invokes an AWS Lambda function.
- D. 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.
Answer: A
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 # 126
A multinational company uses an organization in AWS Organizations to manage over 200 member accounts across multiple AWS Regions. The company must ensure that all AWS resources meet specific security requirements.
The company must not deploy any EC2 instances in the ap-southeast-2 Region. The company must completely block root user actions in all member accounts. The company must prevent any user from deleting AWS CloudTrail logs, including administrators. The company requires a centrally managed solution that the company can automatically apply to all existing and future accounts. Which solution will meet these requirements?
- A. Create AWS Config rules with remediation actions in each account to detect policy violations.
Implement IAM permissions boundaries for the account root users. - B. Configure AWS Firewall Manager with security policies to meet the security requirements. Use an AWS Config aggregator with organization-wide conformance packs to detect security policy violations.
- C. Enable AWS Security Hub across the organization. Create custom security standards to enforce the security requirements. Use AWS CloudFormation StackSets to deploy the standards to all the accounts in the organization. Set up Security Hub automated remediation actions.
- D. Use AWS Control Tower for account governance. Configure Region deny controls. Use Service Control Policies (SCPs) to restrict root user access.
Answer: D
Explanation:
AWS CloudOps governance best practices emphasize centralized account management and preventive guardrails. AWS Control Tower integrates directly with AWS Organizations and provides "Region deny controls" and "Service Control Policies (SCPs)" that apply automatically to all existing and newly created member accounts. SCPs are organization-wide guardrails that define the maximum permissions for accounts. They can explicitly deny actions such as launching EC2 instances in a specific Region, or block root user access.
To prevent CloudTrail log deletion, SCPs can also include denies on cloudtrail:DeleteTrail and s3:DeleteObject actions targeting the CloudTrail log S3 bucket. These SCPs ensure that no user, including administrators, can violate the compliance requirements.
"Use AWS Control Tower to establish a secure, compliant, multi-account environment with preventive guardrails through service control policies and detective controls through AWS Config." This approach meets all stated needs: centralized enforcement, automatic propagation to new accounts, region-based restrictions, and immutable audit logs. Options A, B, and D either detect violations reactively or lack complete enforcement and automation across future accounts.
NEW QUESTION # 127
A company is running workloads on premises and on AWS. A CloudOps engineer needs to automate tasks across all servers on premises by using AWS services. The CloudOps engineer must not install long-term credentials on the on-premises servers.
What should the CloudOps engineer do to meet these requirements?
- A. Create an AWS managed IAM policy that includes the appropriate AWS Systems Manager permissions. Download the IAM policy to the on-premises servers.
- B. Create an IAM user and an access key. Log on to the on-premises servers and install the AWS CLI.Configure the access key in the AWS credentials file after the AWS CLI is successfully installed.
- C. Create an IAM role and instance profile that include AWS Systems Manager permissions. Attach the role to the on-premises servers.
- D. Create a managed-instance activation in AWS Systems Manager. Install the Systems Manager Agent on the on-premises servers. Register the servers with the activation code and ID from the managed- instance activation.
Answer: D
Explanation:
AWS Systems Manager supports hybrid and multicloud managed nodes through managed-instance activations. The CloudOps engineer creates an activation in Systems Manager, installs SSM Agent on the on- premises servers, and registers the servers by using the activation code and activation ID. This allows Systems Manager to manage those servers without storing long-term IAM user credentials on each machine. Option A is wrong because IAM instance profiles attach to EC2 instances, not on-premises servers. Option C misunderstands IAM policies; policies are permission documents, not credentials that can be downloaded to servers. Option D violates the requirement because IAM access keys are long-term credentials and should not be installed on servers. Managed-instance activation is the secure and operationally correct hybrid management approach.
NEW QUESTION # 128
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