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| Topic | Details |
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| Topic 1 | - Deployment, Provisioning, and Automation: This section measures the skills of Cloud Engineers and covers provisioning and maintaining cloud resources using AWS CloudFormation, CDK, and third-party tools. It evaluates automation of deployments, remediation of resource issues, and managing infrastructure using Systems Manager and event-driven processes like Lambda or S3 notifications.
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| Topic 2 | - Security and Compliance: This section measures skills of Security Engineers and includes implementing IAM policies, roles, MFA, and access controls. It focuses on troubleshooting access issues, enforcing compliance, securing data at rest and in transit using AWS KMS and ACM, protecting secrets, and applying findings from Security Hub, GuardDuty, and Inspector.
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| Topic 3 | - Monitoring, Logging, Analysis, Remediation, and Performance Optimization: This section of the exam measures skills of CloudOps Engineers and covers implementing AWS monitoring tools such as CloudWatch, CloudTrail, and Prometheus. It evaluates configuring alarms, dashboards, and notifications, analyzing performance metrics, troubleshooting issues using EventBridge and Systems Manager, and applying strategies to optimize compute, storage, and database performance.
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| Topic 4 | - Networking and Content Delivery: This section measures skills of Cloud Network Engineers and focuses on VPC configuration, subnets, routing, network ACLs, and gateways. It includes optimizing network cost and performance, configuring DNS with Route 53, using CloudFront and Global Accelerator for content delivery, and troubleshooting network and hybrid connectivity using logs and monitoring tools.
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| Topic 5 | - Reliability and Business Continuity: This section measures the skills of System Administrators and focuses on maintaining scalability, elasticity, and fault tolerance. It includes configuring load balancing, auto scaling, Multi-AZ deployments, implementing backup and restore strategies with AWS Backup and versioning, and ensuring disaster recovery to meet RTO and RPO goals.
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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q18-Q23):
NEW QUESTION # 18
A company uses an AWS Lambda function to process user uploads to an Amazon S3 bucket.
The Lambda function runs in response to Amazon S3 PutObject events.
A CloudOps engineer needs to set up monitoring for the Lambda function. The CloudOps engineer wants to receive a notification through an Amazon SNS topic if the function takes more than 10 seconds to process an event.
Which solution will meet this requirement?
- A. Use Amazon CloudWatch Logs Insights to query Lambda logs for the function runtime. Set up a CloudWatch alarm based on the query result. Configure Amazon SNS to send notifications when function runtime exceeds 10 seconds.
- B. Collect Amazon CloudWatch metrics for the Lambda function to extract the function runtime.
Create a CloudWatch alarm to publish a notification to the SNS topic when the runtime exceeds
10 seconds. - C. Configure an Amazon CloudWatch metric filter to capture the runtime of the Lambda function. Set the function's timeout setting to 10 seconds. Create an SNS subscription to alert the CloudOps engineer if the function times out.
- D. Collect Amazon CloudWatch logs for the Lambda function. Create a metric filter to extract the PostRuntimeExtensionsDuration metric from the logs. Create a CloudWatch alarm to publish a notification to the SNS topic when the function runtime exceeds 10 seconds.
Answer: B
Explanation:
AWS Lambda automatically publishes the Duration metric to Amazon CloudWatch, which records how long each invocation runs. A CloudWatch alarm can monitor this metric and publish to the SNS topic when execution duration exceeds 10 seconds, providing the required notification without custom log parsing.
NEW QUESTION # 19
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?
- A. Configure Amazon S3 Cross-Region Replication (CRR). Use S3 Replication Time Control (S3 RTC) to replicate existing objects.
- B. Configure Amazon S3 Cross-Region Replication (CRR). Use S3 Batch Replication to replicate existing objects.
- C. Use S3 Lifecycle rules to move objects to the destination bucket in a second Region.
- D. Configure Amazon S3 Cross-Region Replication (CRR). Use Amazon S3 live replication to replicate existing objects.
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 # 20
A company stores critical information in an Amazon RDS for PostgreSQL database. The company notices degraded performance, high CPU utilization, increased query latency, and connection timeouts during peak shopping hours. The company also identifies surges in user connections during peak hours. The connection surges affect the read performance of the database.
The company wants to resolve the database performance issues.
Which combination of steps will meet this requirement? (Select TWO.)
- A. Use Amazon RDS Performance Insights to analyze the SQL queries that most affect database performance. Update the SQL queries based on the analysis findings.
- B. Use Amazon RDS for PostgreSQL with a single Availability Zone.
- C. Implement RDS Proxy with connection pooling.
- D. Disable connection pooling entirely to ensure that all user connections are treated equally, even during peak hours.
- E. Use Amazon CloudWatch Logs Insights to analyze the database queries and identify performance bottlenecks. Update the queries based on the analysis findings.
Answer: A,C
Explanation:
The symptoms point to two common database pressure sources: inefficient queries (driving high CPU and latency) and excessive concurrent connections (driving connection management overhead, read contention, and timeouts). The most effective remediation is to address both the SQL workload and the connection surge behavior.
Amazon RDS Performance Insights (Option A) is designed to help identify which SQL statements and wait events contribute most to database load. It provides a database-centric view of performance that highlights top SQL, top waits, and the relative impact of sessions on CPU and other resources. By using Performance Insights to pinpoint the highest-impact SQL and then tuning those queries (for example, improving indexes, reducing full scans, and optimizing query patterns), the company can lower CPU utilization and reduce query latency during peak hours.
Connection surges are best addressed with a managed connection pooling layer. RDS Proxy (Option E) provides connection pooling and multiplexing between application connections and the database, which reduces the overhead of establishing and maintaining a large number of database connections. During spikes, the proxy can smooth bursty connection behavior, improve failover handling, and reduce the risk of overwhelming the database with too many concurrent connections. This directly targets the observed timeouts and read performance degradation tied to surges.
Option B is not the best fit because CloudWatch Logs Insights is a log analytics tool; it is not the primary mechanism for deep SQL performance attribution in RDS and typically requires extensive logging configurations that add overhead. Option C would reduce availability and does not improve performance.
Option D would make the problem worse: disabling pooling increases connection churn and overhead, amplifying timeouts and latency during peak traffic.
Therefore, combining Performance Insights query analysis/tuning with RDS Proxy connection pooling best resolves both root causes.
NEW QUESTION # 21
A company is running an application on premises and wants to use AWS for data backup. All of the data must be available locally. The backup application can write only to block-based storage that is compatible with the Portable Operating System Interface (POSIX).
Which backup solution will meet these requirements?
- A. Use AWS Storage Gateway, and configure it to use gateway-cached volumes.
- B. Configure the backup software to use Amazon S3 as the target for the data backups.
- C. Configure the backup software to use Amazon S3 Glacier Flexible Retrieval as the target for the data backups.
- D. Use AWS Storage Gateway, and configure it to use gateway-stored volumes.
Answer: D
Explanation:
The Storage Gateway service enables hybrid cloud backup by presenting local block storage that synchronizes with AWS cloud storage. For scenarios where all data must remain available locally while still backed up to AWS, the correct mode is gateway-stored volumes.
AWS documentation defines:
"Use stored volumes if you want to keep all your data locally while asynchronously backing up point-in-time snapshots to Amazon S3 for durable storage." These volumes expose an iSCSI interface compatible with POSIX file systems, allowing direct use by on-premises backup software.
Gateway-cached volumes (Option C) store primary data in AWS with limited local cache, violating the "all data must be available locally" requirement. Options A and B are object-based storage solutions, not compatible with POSIX or block-based backup applications.
Therefore, Option D fully satisfies CloudOps reliability and continuity best practices by ensuring local availability, cloud durability, and POSIX compatibility for backups.
References (AWS CloudOps Documents / Study Guide):
* AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide - Domain 2: Reliability and Business Continuity
* AWS Storage Gateway User Guide - Stored Volumes Overview
* AWS Well-Architected Framework - Reliability Pillar
* AWS Hybrid Cloud Storage Best Practices
NEW QUESTION # 22
A healthcare company uses Amazon SageMaker within a VPC to build machine learning (ML) models that use data that is stored in Amazon S3 buckets. The company wants to ensure that SageMaker accesses the data securely without using public IP addresses. Which solution will meet this requirement?
- A. Configure AWS Transit Gateway to route traffic from SageMaker to the S3 buckets.
- B. Provision a NAT gateway within the same VPC where the company runs SageMaker. Configure SageMaker to access the S3 buckets by using the NAT gateway.
- C. Configure an AWS Site-to-Site VPN connection to connect SageMaker to the S3 buckets.
- D. Create Amazon S3 gateway endpoints. Configure SageMaker to access the S3 buckets by using AWS PrivateLink.
Answer: D
Explanation:
An Amazon S3 gateway endpoint allows resources in a VPC, including SageMaker workloads configured for VPC access, to reach S3 privately without using public IP addresses or traversing the internet. This provides secure private connectivity to the S3 buckets for ML data access.
NEW QUESTION # 23
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