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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q127-Q132):
NEW QUESTION # 127
A company has a critical serverless application that uses multiple AWS Lambda functions. Each Lambda function generates 1 GB of log data daily in its own Amazon CloudWatch Logs log group. The company's security team asks for a count of application errors, grouped by type, across all of the log groups.
What should a CloudOps engineer do to meet this requirement?
- A. Perform a CloudWatch Logs Insights query that uses the stats command and count function.
- B. Perform a CloudWatch Logs search that uses the groupby keyword and count function.
- C. Perform an Amazon RDS query that uses the SELECT and GROUP BY keywords.
- D. Perform an Amazon Athena query that uses the SELECT and GROUP BV keywords.
Answer: A
Explanation:
CloudWatch Logs Insights is purpose-built for querying and aggregating log data across multiple log groups. Using the stats command with the count() function allows the CloudOps engineer to efficiently group and count specific error types from all Lambda log groups in one query, providing an aggregated view of application errors with minimal effort and without data export or external tools.
NEW QUESTION # 128
A company uses Amazon ElastiCache (Redis OSS) to cache application data. A CloudOps engineer must implement a solution to increase the resilience of the cache. The solution also must minimize the recovery time objective (RTO).
Which solution will meet these requirements?
- A. Create a read replica in a second Availability Zone. Enable Multi-AZ for the ElastiCache (Redis OSS) replication group.
- B. Replace ElastiCache (Redis OSS) with ElastiCache (Memcached).
- C. Create an Amazon EventBridge rule to initiate a backup every hour. Restore the backup when necessary.
- D. Enable automatic backups. Restore the backups when necessary.
Answer: A
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Doocuments:
For high availability and fast failover, ElastiCache for Redis supports replication groups with Multi-AZ and automatic failover. CloudOps guidance states that a primary node can be paired with one or more replicas across multiple Availability Zones; if the primary fails, Redis automatically promotes a replica to primary in seconds, thereby minimizing RTO. This architecture maintains in-memory data continuity without waiting for backup restore operations. Backups (Options B and D) provide durability but require restore and re-warm procedures that increase RTO and may impact application latency. Switching engines (Option A) to Memcached does not provide Redis replication/failover semantics and would not inherently improve resilience for this use case. Therefore, creating a read replica in a different AZ and enabling Multi-AZ with automatic failover is the prescribed CloudOps pattern to increase resilience and achieve the lowest practical RTO for Redis caches.
References (AWS CloudOps Documents / Study Guide):
* AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide - Reliability and Business Continuity
* Amazon ElastiCache for Redis - Replication Groups, Multi-AZ, and Automatic Failover
* AWS Well-Architected Framework - Reliability Pillar
NEW QUESTION # 129
A global gaming company is preparing to launch a new game on AWS. The game runs in multiple AWS Regions on a fleet of Amazon EC2 instances. The instances are in an Auto Scaling group behind an Application Load Balancer (ALB) in each Region. The company plans to use Amazon Route 53 for DNS services. The DNS configuration must direct users to the Region that is closest to them and must provide automated failover.
Which combination of steps should a CloudOps engineer take to configure Route 53 to meet these requirements? (Select TWO.)
- A. Create Amazon CloudWatch alarms that monitor the health of the EC2 instances in each Region. Configure Route 53 DNS failover by using a health check that monitors the alarms.
- B. Configure Route 53 simple routing. Specify the continent, country, and state or province that are used for the infrastructure.
- C. Configure Route 53 DNS failover by using a health check that monitors the private IP address of an EC2 instance in each Region.
- D. Configure Route 53 geoproximity routing. Specify the Regions that are used for the infrastructure.
- E. Create Amazon CloudWatch alarms that monitor the health of the ALB in each Region. Configure Route 53 DNS failover by using a health check that monitors the alarms.
Answer: D,E
Explanation:
The combination of geoproximity routing and DNS failover health checks provides global low-latency routing with high availability.
Geoproximity routing in Route 53 routes users to the AWS Region closest to their geographic location, optimizing latency. For automatic failover, Route 53 health checks can monitor CloudWatch alarms tied to the health of the ALB in each Region. When a Region becomes unhealthy, Route 53 reroutes traffic to the next available Region automatically.
AWS documentation states:
"Use geoproximity routing to direct users to resources based on geographic location, and configure health checks to provide DNS failover for high availability." Option B incorrectly monitors EC2 instances directly, which is not efficient at scale. Option C uses private IPs, which cannot be globally health-checked. Option E (simple routing) does not support geographic or failover routing. Hence, A and D together meet both the proximity and failover requirements.
References (AWS CloudOps Documents / Study Guide):
* AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide - Domain 5: Networking and Content Delivery
* Amazon Route 53 Developer Guide - Geoproximity Routing and DNS Failover
* AWS Well-Architected Framework - Reliability Pillar
* Amazon CloudWatch Alarms - Integration with Route 53 Health Checks
NEW QUESTION # 130
A company's reporting job that used to run in 15 minutes is now taking an hour to run. An application generates the reports. The application runs on Amazon EC2 instances and extracts data from an Amazon RDS for MySQL database.
A CloudOps engineer checks the Amazon CloudWatch dashboard for the RDS instance and notices that the Read IOPS metrics are high, even when the reports are not running. The CloudOps engineer needs to improve the performance and the availability of the RDS instance.
Which solution will meet these requirements?
- A. Deploy an RDS read replica. Update the reporting job to query the reader endpoint.
- B. Configure an Amazon ElastiCache cluster in front of the RDS instance. Update the reporting job to query the ElastiCache cluster.
- C. Increase the size of the RDS instance.
- D. Create an Amazon CloudFront distribution. Set the RDS instance as the origin. Update the reporting job to query the CloudFront distribution.
Answer: A
Explanation:
The reporting workload is read-heavy, and the database shows high Read IOPS even outside the report window, suggesting sustained read pressure from other workloads or inefficient read patterns. The requirement is to improve both performance and availability of the RDS for MySQL instance. An RDS read replica is designed specifically to offload read traffic from the primary database instance and to provide additional capacity for read-heavy use cases such as reporting, analytics queries, and dashboards.
By deploying one or more read replicas, the company can direct the reporting job to a replica (Option B). This reduces contention on the primary instance, lowers read I/O demand on the writer, and can improve overall query latency and throughput. In addition, read replicas can contribute to availability objectives: if the primary instance has issues, replicas can be promoted (manually or as part of certain DR patterns) to become a new standalone database, reducing recovery time for read availability and providing a practical resilience option.
Option A (ElastiCache) can help for highly cacheable and repetitive queries, but it requires application/query redesign and cache invalidation strategy, and it does not inherently improve database availability. Option C is not valid because CloudFront is a CDN for HTTP content and is not an appropriate layer for database queries.
Option D (vertical scaling) can improve performance, but it does not offload reads and often involves higher cost; it also does not provide the same availability and read scaling benefits as replicas.
Therefore, adding an RDS read replica and pointing the reporting workload to the reader endpoint best meets the performance and availability requirements.
NEW QUESTION # 131
A company has a new security policy that requires all Amazon Elastic Block Store (Amazon EBS) volumes to be encrypted at rest. The company needs to use a custom key policy to manage access to the encryption keys.
The company must rotate the keys once each year.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Create AWS KMS asymmetric customer managed keys. Enable automatic key rotation.
- B. Create AWS KMS symmetric customer managed keys. Enable automatic key rotation.
- C. Use AWS owned AWS KMS keys across the company's AWS environment.
- D. Create AWS KMS symmetric customer managed keys by using imported key material. Rotate the keys on a yearly basis.
Answer: B
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Documents:
The correct answer is A because AWS KMS symmetric customer managed keys with automatic key rotation provide encryption, access control, and compliance with minimal operational effort. AWS CloudOps documentation states that Amazon EBS encryption supports AWS KMS symmetric keys only, and customer managed keys allow administrators to define custom key policies to control access.
Automatic key rotation is supported for symmetric customer managed keys and rotates the backing key material once every year, fully satisfying the company's rotation requirement without manual intervention.
This approach minimizes operational overhead while maintaining strong security controls and auditability.
Option B is incorrect because AWS owned keys do not allow custom key policies and therefore cannot meet the access control requirement. Option C is incorrect because asymmetric KMS keys are not supported for EBS encryption. Option D is incorrect because imported key material requires manual rotation and re-import, increasing operational complexity and risk.
AWS CloudOps security best practices strongly recommend customer managed symmetric keys with automatic rotation when organizations need fine-grained access control, regulatory compliance, and low maintenance overhead.
References:
AWS KMS Developer Guide - Customer Managed Keys and Rotation
Amazon EBS User Guide - Encryption at Rest
AWS SysOps Administrator Study Guide - Security and Key Management
NEW QUESTION # 132
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