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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q211-Q216):
NEW QUESTION # 211
A company has an application running on EC2 that stores data in an Amazon RDS for MySQL Single- AZ DB instance. The application requires both read and write operations, and the company needs failover capability with minimal downtime.
Which solution will meet these requirements?
Answer: B
Explanation:
According to the AWS Cloud Operations and Database Reliability documentation, Amazon RDS Multi- AZ deployments provide high availability and automatic failover by maintaining a synchronous standby replica in a different Availability Zone.
In the event of instance failure, planned maintenance, or Availability Zone outage, Amazon RDS automatically promotes the standby to primary with minimal downtime (typically less than 60 seconds). The failover is transparent to applications because the DB endpoint remains the same.
By contrast, read replicas (Option B) are asynchronous and do not provide automated failover.
Auto Scaling (Option C) applies to EC2, not RDS. RDS Proxy (Option D) improves connection management but does not add redundancy.
Thus, Option A -- converting the RDS instance into a Multi-AZ deployment -- delivers the required high availability and business continuity with minimal operational effort.
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NEW QUESTION # 212
A company runs an application on an Amazon EC2 instance. The application uses a MySQL database. The EC2 instance has a General Purpose SSD (gp3) Amazon EBS volume attached. The company wants to perform load testing using a new MySQL database created from an EBS snapshot of the production instance.
The new database must perform as similarly as possible to production.
Which solution will meet these requirements in the LEAST amount of time?
Answer: D
Explanation:
Comprehensive Explanation (250-350 words):
Amazon EBS snapshots are stored in Amazon S3, and standard restores can experience higher latency until data blocks are fully retrieved. Fast Snapshot Restore (FSR) eliminates this latency by ensuring that all blocks are immediately available at full performance.
Because the production environment uses a General Purpose SSD (gp3) volume, creating the test database on the same volume type ensures performance characteristics are as similar as possible. Using FSR significantly reduces restore time and allows load testing to begin immediately.
Provisioned IOPS volumes would introduce different performance characteristics and unnecessary cost.
Standard snapshot restore would delay testing due to gradual block hydration.
Therefore, using FSR with the same EBS volume type is the fastest and most accurate solution.
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NEW QUESTION # 213
An AWS CloudFormation template creates an Amazon RDS instance. This template is used to build up development environments as needed and then delete the stack when the environment is no longer required.
The RDS-persisted data must be retained for further use, even after the CloudFormation stack is deleted.
How can this be achieved in a reliable and efficient way?
Answer: A
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Doocuments:
AWS CloudFormation supports the DeletionPolicy attribute to control what happens to a resource when a stack is deleted. For Amazon RDS DB instances, setting DeletionPolicy: Snapshot instructs CloudFormation to retain a final DB snapshot automatically at stack deletion. CloudOps best practice recommends using this native mechanism for data retention and auditability, avoiding manual scripts or out-of-band processes.
Options A, B, and D introduce operational overhead and potential human error. With DeletionPolicy set to Snapshot, the environment can be repeatedly created and torn down while preserving data states for later restoration with minimal manual steps. This aligns with IaC principles-declarative, repeatable, and reliable
-and supports efficient lifecycle management of ephemeral development stacks.
References:* AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide - Deployment, Provisioning and Automation* AWS CloudFormation User Guide - DeletionPolicy Attribute (Snapshot for RDS)* AWS Well-Architected Framework - Operational Excellence Pillar
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NEW QUESTION # 214
A SysOps administrator is configuring an Auto Scaling group of Amazon EC2 instances for an application.
The average CPU utilization of the instances in the Auto Scaling group must remain at approximately 40% when the load on the application changes.
Which solution will meet this requirement in the MOST operationally efficient manner?
Answer: C
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Documents:
The correct answer is D because target tracking scaling policies are designed to automatically maintain a specific metric at a desired target value with the least administrative effort. AWS CloudOps documentation states that target tracking works like a thermostat, continuously adjusting capacity to keep the selected metric close to the defined target.
By specifying a target value of 40% average CPU utilization, the Auto Scaling group automatically scales out or in based on real-time demand without requiring manual thresholds, multiple alarms, or predefined scaling steps. This approach is fully managed by AWS and is the most operationally efficient option.
Option A is incorrect because scheduled scaling is based on predictable traffic patterns and cannot respond dynamically to real-time load changes. Option B is incorrect because simple scaling reacts only after an alarm is triggered and does not continuously maintain a target value. Option C is less efficient because step scaling requires additional configuration and tuning of scaling steps.
AWS CloudOps best practices clearly recommend target tracking scaling policies for maintaining steady performance metrics with minimal operational overhead.
References:
Amazon EC2 Auto Scaling User Guide - Target Tracking Policies
AWS SysOps Administrator Study Guide - Auto Scaling and Automation
AWS Well-Architected Framework - Operational Excellence and Performance Efficiency
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NEW QUESTION # 215
A CloudOps engineer must ensure that all of a company's current and future Amazon S3 buckets have logging enabled. If an S3 bucket does not have logging enabled, an automated process must enable logging for the S3 bucket.
Which solution will meet these requirements?
Answer: C
Explanation:
The AWS Config managed rule s3-bucket-logging-enabled continuously evaluates whether S3 buckets have logging enabled. By attaching an automatic remediation action using the AWS- ConfigureS3BucketLogging Systems Manager Automation runbook, AWS can automatically enable logging for any noncompliant bucket. This provides a fully automated and scalable solution that applies to both existing and newly created buckets with minimal operational effort.
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NEW QUESTION # 216
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