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| Section | Weight | Objectives |
|---|---|---|
| Reliability and Business Continuity | 16% | - Data replication and recovery mechanisms - High availability and fault tolerance design - Backup and disaster recovery strategies |
| Cost and Performance Optimization | 28% | - Resource performance tuning - Cost monitoring and optimization strategies - Right-sizing and capacity planning |
| Deployment, Provisioning, and Automation | 18% | - Infrastructure as Code using AWS CloudFormation - Configuration management and orchestration tools - Automated deployment pipelines |
| Security and Compliance | 18% | - Data protection and encryption - Security monitoring and auditing - Identity and access management (IAM) |
| Monitoring, Logging, and Remediation | 20% | - Automated remediation and operational workflows - Metrics and monitoring using Amazon CloudWatch - Centralized logging and log analysis with AWS services |
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NEW QUESTION # 327
A retail company runs its primary ecommerce web application in the us-east-1 AWS Region with a fully configured disaster recovery (DR) environment in the us-west-2 Region. The company requires automatic failover to the DR environment if the primary environment becomes unhealthy.
How should the company configure Amazon Route 53 to enable automated failover between the primary and DR environments?
Answer: B
Explanation:
Route 53 failover routing is designed for active-passive disaster recovery. A health check associated with the primary record monitors the primary application endpoint, and Route 53 automatically returns the secondary record when the primary endpoint becomes unhealthy, providing automated DNS failover to the DR environment.
NEW QUESTION # 328
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?
Answer: B
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.
NEW QUESTION # 329
A media company hosts a public news and video portal on AWS. The portal uses an Amazon DynamoDB table with provisioned capacity to maintain an index of video files that are stored in an Amazon S3 bucket. During a recent event, millions of visitors came to the portal for news. This increase in traffic caused read requests to be throttled in the DynamoDB table. Videos could not be displayed in the portal.
The company's operations team manually increased the provisioned capacity on a temporary basis to meet the demand. The company wants the operations team to receive an alert before the table is throttled in the future. The company has created an Amazon Simple Notification Service (Amazon SNS) topic and has subscribed the operations team's email address to the SNS topic.
What should the company do next to meet these requirements?
Answer: B
Explanation:
The requirement is to alert before throttling occurs. For a DynamoDB table in provisioned capacity mode, throttling happens when demand approaches or exceeds provisioned throughput.
CloudWatch provides direct table metrics such as ConsumedReadCapacityUnits and ProvisionedReadCapacityUnits (and related utilization signals). Creating an alarm on ConsumedReadCapacityUnits with a threshold set close to the table's provisioned read capacity provides an early warning that the table is nearing its limit--before actual throttling prevents reads.
The alarm can publish directly to the existing SNS topic so the operations team is notified proactively.
NEW QUESTION # 330
A company is using an Amazon Aurora MySQL DB cluster that has point-in-time recovery, backtracking, and automatic backup enabled. A CloudOps engineer needs 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: D
Explanation:
As documented in AWS Cloud Operations and Database Recovery, Aurora Backtrack allows you to rewind the existing database cluster to a chosen point in time without creating a new cluster. This feature supports fine-grained rollback for accidental data changes, making it ideal for scenarios like table deletions or logical corruption.
Backtracking maintains continuous transaction logs and permits rewinding within a configurable window (up to 72 hours). It does not require creating a new cluster or endpoint, and it preserves the same production environment, fulfilling the operational requirement for in-place recovery.
In contrast, Point-in-Time Recovery (Option D) always creates a new cluster, while replica promotion (Option A) and Lambda restoration (Option B) are unrelated to immediate rollback operations.
Therefore, Option C, using Aurora Backtrack, best meets the requirement for same-cluster restoration and minimal downtime.
NEW QUESTION # 331
A CloudOps engineer needs to set up alerting and remediation for a web application. The application consists of Amazon EC2 instances that have AWS Systems Manager Agent (SSM Agent) installed. Each EC2 instance runs a custom web server. The EC2 instances run behind a load balancer and write logs locally.
The CloudOps engineer must implement a solution that restarts the web server software automatically if specific web errors are detected in the logs.
Which combination of steps will meet these requirements? (Select THREE.)
Answer: A,D,F
Explanation:
Per the AWS Cloud Operations, Monitoring, and Automation documentation, the correct workflow for automated operational remediation is:
Amazon CloudWatch Agent is installed on each EC2 instance (Option A) to collect local log data and push it to Amazon CloudWatch Logs.
A CloudWatch Metric Filter (Option C) is then defined to identify specific error strings or patterns within those logs (e.g., "HTTP 5xx" or "Service Unavailable"). When such an event occurs, CloudWatch Alarms are triggered.
Upon alarm activation, Amazon EventBridge rules (Option E) are configured to respond automatically by invoking an AWS Systems Manager Automation runbook, which executes an action to restart the web server process on the affected instance via SSM Agent.
This approach aligns directly with AWS's recommended CloudOps remediation pattern, known as event- driven automation, which ensures minimal downtime and eliminates manual intervention.
Options involving CloudTrail (B) or SES notifications (D) are incorrect because they are unrelated to log- based application monitoring and automated remediation workflows.
Reference: AWS Cloud Operations & Systems Manager Guide - Section: Automated Remediation using CloudWatch, EventBridge, and Systems Manager Automation
NEW QUESTION # 332
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