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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Reliability and Business Continuity | 16% | - Backup and disaster recovery strategies - Data replication and recovery mechanisms - High availability and fault tolerance design |
| Topic 2: Cost and Performance Optimization | 28% | - Cost monitoring and optimization strategies - Resource performance tuning - Right-sizing and capacity planning |
| Topic 3: Security and Compliance | 18% | - Identity and access management (IAM) - Data protection and encryption - Security monitoring and auditing |
| Topic 4: Deployment, Provisioning, and Automation | 18% | - Infrastructure as Code using AWS CloudFormation - Automated deployment pipelines - Configuration management and orchestration tools |
| Topic 5: Monitoring, Logging, and Remediation | 20% | - Metrics and monitoring using Amazon CloudWatch - Centralized logging and log analysis with AWS services - Automated remediation and operational workflows |
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NEW QUESTION # 40
A company has users that deploy Amazon EC2 instances with more Amazon EBS performance capacity than required. A CloudOps engineer must review all EBS volumes and create cost optimization recommendations based on IOPS and throughput.
What should the CloudOps engineer do in the MOST operationally efficient way?
Answer: B
Explanation:
AWS Compute Optimizer analyzes historical utilization metrics and provides rightsizing recommendations for EBS volumes, including IOPS and throughput. It is fully managed, continuously updated, and requires minimal operational effort.
Manual reviews and benchmarking do not scale. Changing instance types does not address EBS overprovisioning.
Therefore, AWS Compute Optimizer is the best solution.
NEW QUESTION # 41
To comply with regulations, a CloudOps engineer needs to back up an Amazon EC2 Amazon Machine Image (AMI) to an Amazon S3 bucket. If the CloudOps engineer restores the AMI from the bucket in the future, the AMI must use the same AMI image ID as the original AMI.
Which solution will meet this requirement?
Answer: C
Explanation:
Because this is the only AWS-supported solution that allows an AMI to be backed up to Amazon S3 and later restored while preserving the original AMI ID. This capability is essential for regulatory and compliance requirements where immutable identifiers must be retained.
According to AWS CloudOps documentation for Amazon EC2 AMI lifecycle management, the AMI store and restore feature is specifically designed for long-term retention, audit, and compliance scenarios. When an AMI is stored using a store image task, AWS packages the AMI's configuration, metadata, and associated snapshots and saves them as encrypted objects in an Amazon S3 bucket. When the AMI is restored, AWS explicitly states that the restored AMI retains the same AMI ID as the original image, ensuring continuity for compliance tracking and operational dependencies.
NEW QUESTION # 42
A company is implementing security and compliance by using AWS Trusted Advisor. The company's CloudOps team is validating the list of Trusted Advisor checks that it can access.
Which factor will affect the quantity of available Trusted Advisor checks?
Answer: C
Explanation:
The number and depth of Trusted Advisor checks available depend on the AWS Support plan level.
Basic and Developer Support plans only provide a limited set of checks (mainly Service Limits and Security).
Business and Enterprise Support plans provide access to the full set of Trusted Advisor checks, including cost optimization, performance, and fault tolerance.
NEW QUESTION # 43
A company runs an application on Amazon EC2 instances behind an Elastic Load Balancer (ELB) in an Auto Scaling group. The application performs well except during a 2-hour period of daily peak traffic, when performance slows.
A CloudOps engineer must resolve this issue with minimal operational effort.
What should the engineer do?
Answer: D
Explanation:
According to the AWS Cloud Operations and Compute documentation, when workloads exhibit predictable traffic patterns, the best practice is to use scheduled scaling for Amazon EC2 Auto Scaling groups.
With scheduled scaling, administrators can predefine the desired capacity of an Auto Scaling group to increase before anticipated demand (in this case, before the 2-hour peak) and scale back down afterward. This ensures that sufficient compute capacity is provisioned proactively, avoiding performance degradation while maintaining cost efficiency.
AWS notes: "Scheduled actions enable scaling your Auto Scaling group at predictable times, allowing you to pre-warm instances before demand spikes." Manual scaling (Option D) adds operational overhead. Adjusting launch templates (Option B) doesn't affect scaling behavior, and permanently increasing minimum capacity (Option A) wastes resources outside of peak hours.
Thus, Option C provides an automated, cost-effective, and operationally efficient CloudOps solution.
NEW QUESTION # 44
A financial services company stores customer images in an Amazon S3 bucket in the us-east-1 Region. To comply with regulations, the company must ensure that all existing objects are replicated to an S3 bucket in a second AWS Region. If an object replication fails, the company must be able to retry replication for the object.
What solution will meet these requirements?
Answer: B
Explanation:
Per the AWS Cloud Operations and S3 Data Management documentation, Cross-Region Replication (CRR) automatically replicates new objects between S3 buckets across Regions. However, CRR alone does not retroactively replicate existing objects created before replication configuration. To include such objects, AWS introduced S3 Batch Replication.
S3 Batch Replication scans the source bucket and replicates all existing objects that were not copied previously. Additionally, it can retry failed replication tasks automatically, ensuring regulatory compliance for complete dataset replication.
S3 Replication Time Control (S3 RTC) guarantees predictable replication times for new objects only-it does not cover previously stored data. S3 Lifecycle rules (Option D) move or transition objects between storage classes or buckets, but not in a replication context.
Therefore, the correct solution is to use S3 Cross-Region Replication (CRR) combined with S3 Batch Replication to ensure all current and future data is synchronized across Regions with retry capability.
Reference: AWS Cloud Operations and S3 Guide - Section: Cross-Region Replication and Batch Replication for Existing Objects
NEW QUESTION # 45
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