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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Security and Compliance | 18% | - Data protection and encryption - Security monitoring and auditing - Identity and access management (IAM) |
| Topic 2: Reliability and Business Continuity | 16% | - Backup and disaster recovery strategies - Data replication and recovery mechanisms - High availability and fault tolerance design |
| Topic 3: Cost and Performance Optimization | 28% | - Right-sizing and capacity planning - Cost monitoring and optimization strategies - Resource performance tuning |
| Topic 4: Monitoring, Logging, and Remediation | 20% | - Metrics and monitoring using Amazon CloudWatch - Centralized logging and log analysis with AWS services - Automated remediation and operational workflows |
| Topic 5: Deployment, Provisioning, and Automation | 18% | - Automated deployment pipelines - Configuration management and orchestration tools - Infrastructure as Code using AWS CloudFormation |
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NEW QUESTION # 257
A company is using an Amazon Aurora MySQL DB cluster that has point-in-time recovery, backtracking, and automatic backups enabled. A CloudOps engineer needs to be able to roll back the DB cluster to a specific recovery point within the previous 72 hours. Restores must be completed in the same production DB cluster.
Which solution will meet these requirements?
Answer: C
Explanation:
Comprehensive Explanation (250-350 words):
Amazon Aurora backtracking allows a DB cluster to be rewound to a specific point in time without creating a new DB cluster. This feature is designed for fast recovery from logical errors, such as accidental data changes, within a configured backtrack window. Because backtracking operates directly on the existing cluster, it satisfies the requirement that the restore occur in the same production DB cluster.
Point-in-time recovery (Option D) restores data by creating a new DB cluster, which violates the requirement. Option A involves promoting a replica, which does not allow rolling back to an arbitrary historical point. Option B introduces unnecessary complexity and is not supported for restoring directly into the same cluster.
Backtracking provides near-instant rollback and minimal operational disruption, making it the correct solution.
NEW QUESTION # 258
A company manages a set of AWS accounts by using AWS Organizations. The company's security team wants to use a native AWS service to regularly scan all AWS accounts against the Center for Internet Security (CIS) AWS Foundations Benchmark.
What is the MOST operationally efficient way to meet these requirements?
Answer: C
Explanation:
AWS Security Hub is the native AWS service that provides continuous compliance checks against security standards, including the CIS AWS Foundations Benchmark. When integrated with AWS Organizations, Security Hub can automatically enroll existing and newly created accounts, eliminating manual invitations and scripts.
By designating a Security Hub administrator account and enabling automatic account onboarding, the organization ensures consistent security posture monitoring across all accounts. CIS benchmark checks are run continuously, and findings are aggregated centrally, simplifying governance and remediation workflows.
Amazon Inspector focuses on vulnerability scanning for EC2, container images, and Lambda functions-not CIS compliance. GuardDuty is a threat detection service and does not run CIS benchmarks.
Therefore, using AWS Security Hub with automatic organization-wide enrollment is the most efficient solution.
NEW QUESTION # 259
A logistics company wants to run containerized applications on Amazon ECS behind an Application Load Balancer. The company wants to use a phased release method to test new application versions and gradually increase traffic shift. The company wants to start with 10% of the traffic to the new version, with 10% increments every 3 minutes until the traffic is fully shifted.
Which deployment strategy will meet these requirements?
Answer: B
Explanation:
The traffic pattern described is a linear deployment: shift a fixed percentage of traffic at fixed time intervals until the new version receives 100% of traffic. AWS CodeDeploy for Amazon ECS includes a predefined deployment configuration named CodeDeployDefault.ECSLinear10PercentEvery3Minutes, which shifts 10% of traffic every 3 minutes until all traffic is shifted. A canary deployment sends an initial small percentage to the new version and then shifts the remaining traffic after a bake period, not in equal repeated increments. A rolling deployment replaces tasks in batches but does not express ALB traffic shifting percentages in this way. Blue/green is the broader deployment model used by CodeDeploy, but the specific release strategy requested is linear. Therefore, option D is correct.
NEW QUESTION # 260
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 # 261
An application runs on Amazon EC2 instances that are in an Auto Scaling group. A CloudOps engineer needs to implement a solution that provides a central storage location for errors that the application logs to disk. The solution must also provide an alert when the application logs an error.
What should the CloudOps engineer do to meet these requirements?
Answer: B
Explanation:
The AWS Cloud Operations and Monitoring documentation specifies that the Amazon CloudWatch Agent is the recommended tool for collecting system and application logs from EC2 instances. The agent pushes these logs into a centralized CloudWatch Logs group, providing durable storage and real-time monitoring.
Once the logs are centralized, a CloudWatch Metric Filter can be configured to search for specific error keywords (for example, "ERROR" or "FAILURE"). This filter transforms matching log entries into custom metrics. From there, a CloudWatch Alarm can monitor the metric threshold and publish notifications to an Amazon SNS topic, which can send email or SMS alerts to subscribed recipients.
This combination provides a fully automated, managed, and serverless solution for log aggregation and error alerting. It eliminates the need for manual cron jobs (Option B), custom scripts (Option D), or Lambda- based log streaming (Option C).
Reference: AWS Cloud Operations & Monitoring Guide - Collecting Application Logs and Creating Alarms Using CloudWatch Agent, Metric Filters, and SNS Notifications
NEW QUESTION # 262
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