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| Section | Weight | Objectives |
|---|---|---|
| Cost and Performance Optimization | 28% | - Right-sizing and capacity planning - Resource performance tuning - Cost monitoring and optimization strategies |
| Monitoring, Logging, and Remediation | 20% | - Metrics and monitoring using Amazon CloudWatch - Centralized logging and log analysis with AWS services - Automated remediation and operational workflows |
| Deployment, Provisioning, and Automation | 18% | - Automated deployment pipelines - Infrastructure as Code using AWS CloudFormation - Configuration management and orchestration tools |
| Reliability and Business Continuity | 16% | - Data replication and recovery mechanisms - High availability and fault tolerance design - Backup and disaster recovery strategies |
| Security and Compliance | 18% | - Data protection and encryption - Identity and access management (IAM) - Security monitoring and auditing |
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NEW QUESTION # 139
A CloudOps engineer needs to ensure that AWS resources across multiple AWS accounts are tagged consistently. The company uses an organization in AWS Organizations to centrally manage the accounts. The company wants to implement cost allocation tags to accurately track the costs that are allocated to each business unit.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: A
Explanation:
Tagging is essential for governance, cost management, and automation in CloudOps operations.
The AWS Organizations tag policies feature allows centralized definition and enforcement of required tag keys and accepted values across all accounts in an organization. According to the AWS CloudOps study guide under Deployment, Provisioning, and Automation, tag policies enable automatic validation of tags, ensuring consistency with minimal manual overhead.
Once tagging consistency is enforced, enabling cost allocation tags in the AWS Billing and Cost Management console allows accurate cost distribution per business unit.
"Use AWS Organizations tag policies to standardize tags across accounts. You can activate cost allocation tags in the Billing console to track and allocate costs." Option B introduces unnecessary complexity with Lambda automation. Option C detects but does not enforce tagging. Option D limits flexibility to Service Catalog resources only. Therefore, Option A provides a centrally managed, automated, and low-overhead solution that meets CloudOps tagging and cost-tracking requirements.
NEW QUESTION # 140
A company uses an Amazon Simple Queue Service (Amazon SQS) queue and Amazon EC2 instances in an Auto Scaling group with target tracking for a web application. The company collects the ASGAverageNetworkIn metric but notices that instances do not scale fast enough during peak traffic. There are a large number of SQS messages accumulating in the queue.
A CloudOps engineer must reduce the number of SQS messages during peak periods.
Which solution will meet this requirement?
Answer: C
Explanation:
According to the AWS Cloud Operations and Auto Scaling documentation, scaling applications that consume Amazon SQS messages should be driven by queue backlog per instance, not by general system metrics such as network traffic or CPU.
The correct approach is to calculate a custom metric using CloudWatch metric math that divides the SQS metric ApproximateNumberOfMessagesVisible by the number of active EC2 instances in the Auto Scaling group. This "backlog per instance" value represents the average number of messages waiting to be processed by each instance.
Then, the CloudOps engineer can create a target tracking policy that automatically scales out or in based on maintaining a desired backlog threshold. This approach ensures dynamic, workload-driven scaling behavior that reacts in near real time to message volume.
Step and simple scaling (Options C and D) require manual thresholds and do not automatically balance the load per instance.
Thus, Option B-using CloudWatch metric math to define queue backlog per instance for target tracking-is the most effective and AWS-recommended CloudOps practice.
Reference: AWS Cloud Operations & Scaling Guide - Scaling Based on Amazon SQS Queue Backlog Per Instance
NEW QUESTION # 141
A company's developers manually install software modules on Amazon EC2 instances to deploy new versions of a service. A security audit finds that instances contain inconsistent and unapproved modules.
A CloudOps engineer must create a new instance image that contains only approved software.
Which solution will meet these requirements?
Answer: B
Explanation:
According to the AWS Cloud Operations and Deployment documentation, EC2 Image Builder is the AWS-managed service for automating the creation, maintenance, validation, and deployment of secure and compliant Amazon Machine Images (AMIs).
It allows CloudOps teams to define image pipelines that include only approved software modules and configuration scripts. EC2 Image Builder automatically tests and verifies these AMIs for compliance before deployment.
This process ensures configuration consistency, eliminates manual installation errors, and simplifies ongoing patch management. The service integrates with AWS Systems Manager, Amazon Inspector, and AWS CloudFormation for end-to-end automation.
Amazon Detective and GuardDuty (Options A & B) are security monitoring tools, not image management solutions.
Run Command (Option C) applies ad-hoc updates but does not create standard, reusable AMIs.
Therefore, Option D is correct--EC2 Image Builder provides the most operationally efficient and compliant way to create an approved baseline AMI for future deployments.
NEW QUESTION # 142
A CloudOps engineer is maintaining a web application using an Amazon CloudFront web distribution, an Application Load Balancer (ALB), Amazon RDS, and Amazon EC2 in a VPC. All services have logging enabled. The CloudOps engineer needs to investigate HTTP Layer 7 status codes from the web application.
Which log sources contain the status codes? (Choose two.)
Answer: B,C
Explanation:
ALB access logs include detailed HTTP Layer 7 information such as request paths, user agents, and status codes returned by the application.
CloudFront access logs record all viewer requests served through CloudFront distributions, including HTTP status codes (2xx, 4xx, 5xx).
These two log sources together provide complete visibility into HTTP status code behavior from both the edge (CloudFront) and origin (ALB) layers, allowing the CloudOps engineer to investigate web application performance and errors effectively.
NEW QUESTION # 143
A CloudOps engineer is troubleshooting a website that will not load for users. The website is hosted by an Amazon CloudFront distribution that has an Amazon S3 bucket as the origin. The CloudFront distribution is named d111111abcdef8.cloudfront.net. The S3 bucket has the following Amazon Resource Name (ARN): arn:aws:s3:::example-com-website-files. The S3 bucket has S3 Block Public Access enabled. The CloudOps engineer examines the website's DNS CNAME records and discovers that the record value is set to s3.amazonaws.com/example-com-website- files/. What should the CloudOps engineer do to configure the website for use with CloudFront?
Answer: B
Explanation:
The DNS record must point users to the CloudFront distribution domain name, not directly to the S3 bucket URL or S3 ARN. CloudFront acts as the public content delivery endpoint, while the S3 bucket remains the origin. AWS CloudFront documentation states that when using alternate domain names, DNS CNAME records should route queries to the CloudFront distribution. If Route 53 is used, an alias record can point to the distribution; with external DNS, a CNAME points to the CloudFront domain name. Disabling S3 Block Public Access is unnecessary and weakens security. Pointing DNS to the S3 ARN is invalid because ARNs are identifiers, not DNS targets. S3 access points do not replace the CloudFront distribution endpoint for public website routing. Therefore, the CNAME must be updated to d111111abcdef8.cloudfront.net.
NEW QUESTION # 144
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