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Amazon SOA-C03 Exam Syllabus Topics:

Topic	Details
Topic 1	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.
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.
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.
Topic 4	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.
Topic 5	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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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q95-Q100):

NEW QUESTION # 95
A SysOps administrator must load test a new Amazon CloudFront distribution to assess data transfer and latency performance. Which solution will meet this requirement?

A. Send client requests from a single geographic region. Configure the load test so that each client makes an independent DNS request. Spread the client requests across the set of IP addresses that the DNS returns.
B. Send client requests from a single geographic region. Configure the load test so that each client makes an identical DNS request. Focus the client requests on the IP address that the DNS returns.
C. Send client requests from multiple geographic regions. Configure the load test so that each client makes an identical DNS request. Focus the client requests on the IP address that the DNS returns.
D. Send client requests from multiple geographic regions. Configure the load test so that each client makes an independent DNS request. Spread the client requests across the set of IP addresses that the DNS returns.

Answer: D

Explanation:
CloudFront is a global edge network service, and its performance (latency and data transfer behavior) depends heavily on the geographic location of viewers and the edge locations that serve them. Therefore, a valid load test must generate traffic from multiple geographic regions to reflect real user distribution and to measure end-to-end latency across diverse network paths.
Additionally, CloudFront uses DNS to return multiple possible edge IP addresses and can direct clients to different edge locations based on resolver behavior and network conditions. For a realistic test, each client should make an independent DNS request and distribute traffic across the returned IP addresses, rather than pinning all load to a single IP. Spreading requests across the returned set avoids biasing the test to one edge path and better represents how real browsers and applications resolve and connect to CloudFront.

NEW QUESTION # 96
A company uses memory-optimized Amazon EC2 instances behind a Network Load Balancer (NLB) to run an application. The company launched the EC2 instances from an AWS-provided Red Hat Enterprise Linux (RHEL) AMI.
A CloudOps engineer must monitor RAM utilization in 5-minute intervals. The CloudOps engineer must ensure that the EC2 instances scale in and out appropriately based on incoming load.
Which solution will meet these requirements?

A. Configure detailed monitoring for the EC2 instances. Configure the Amazon CloudWatch agent on the EC2 instances. Create an EC2 Auto Scaling group and Auto Scaling policy that is based on the mem_active metric.
B. Configure detailed monitoring for the EC2 instances. Use the mem_used_percent metric that the detailed monitoring feature provides. Create an IAM role that allows the CloudWatch agent to upload data. Create an EC2 Auto Scaling group and Auto Scaling policy that is based on the mem_used_percent metric.
C. Configure basic monitoring for the EC2 instances. Use the standard mem_used_percent metric for monitoring. Create an EC2 Auto Scaling group and Auto Scaling policy that is based on the mem_used_percent metric.
D. Configure basic monitoring for the EC2 instances. Configure the Amazon CloudWatch agent on the EC2 instances. Create an IAM role that allows the CloudWatch agent to upload data. Create an EC2 Auto Scaling group and Auto Scaling policy that is based on the mem_used_percent metric.

Answer: D

Explanation:
Comprehensive Explanation (250-350 words):
EC2 does not publish RAM utilization as a native CloudWatch metric by default. Memory metrics such as mem_used_percent are typically collected by the CloudWatch Agent, which runs on the instance and publishes custom metrics to CloudWatch. Because the requirement is RAM utilization at 5-minute intervals, the CloudWatch Agent can be configured to emit metrics at that cadence (or faster).
"Detailed monitoring" for EC2 mainly affects EC2-provided metrics (like CPU) by changing the period from
5 minutes (basic) to 1 minute (detailed). It does not magically provide memory utilization. Therefore, the key requirement is installing/configuring the CloudWatch Agent and ensuring it has permissions to publish metrics (via an IAM role attached to the instance / instance profile).
Option C correctly combines: (1) basic monitoring (fine for the ask), (2) CloudWatch Agent to publish mem_used_percent, (3) IAM role permissions to allow publishing, and (4) Auto Scaling policy that scales based on the memory metric.
Option B incorrectly implies detailed monitoring provides mem_used_percent (it does not). Option D assumes a "standard" memory metric exists without the agent, which is not correct. Option A references mem_active, which is not the typical metric name exposed by CloudWatch Agent's standard memory measurements for scaling policies, and also omits the IAM role requirement needed for publishing custom metrics.
Thus, C is the AWS-correct path for memory-based scaling using CloudWatch custom metrics.

NEW QUESTION # 97
A CloudOps engineer needs to configure a caching layer for a read-heavy application that uses an Amazon RDS for PostgreSQL database. The application exists across three AWS Regions.
Read and write activities occur in the primary Region. In the two secondary Regions, read-only activity occurs on RDS for PostgreSQL cross-Region read replicas.
The cache in each Region must consist of the same data to provide a consistent user experience across Regions.
Which solution for the caching layer will meet these requirements?

A. Set up an Amazon ElastiCache (Memcached) global database. Include a read and write cluster in the primary Region. Include a read-only cluster in each secondary Region.
B. Set up an Amazon ElastiCache (Redis OSS) global datastore. Include a read and write cluster in the primary Region. Include a read-only cluster in each secondary Region.
C. Set up query caching on the RDS for PostgreSQL database in the primary Region. Configure query cache replication to the secondary RDS cross-Region replicas.
D. Set up an Amazon ElastiCache (Memcached) cluster with cluster mode enabled in all three Regions. Set up ElastiCache cross-Region replication from the primary Region to the secondary Regions.

Answer: B

Explanation:
Amazon ElastiCache for Redis OSS global datastore provides cross-Region replication for a primary cluster and secondary read-only clusters. This keeps cache data replicated across Regions so users receive a consistent cached read experience while writes are handled in the primary Region.

NEW QUESTION # 98
A company has an application that processes events sequentially by using an Amazon SQS FIFO queue. The company needs a solution that automatically sends notifications to the SQS queue when new objects are uploaded to an Amazon S3 bucket. The solution must maintain message ordering.
Which solution will meet these requirements with the LEAST operational overhead?

A. Create an Amazon SNS FIFO topic. Create an event notification on the S3 bucket. Configure the event to send messages to the SNS topic. Subscribe the existing SQS queue to the SNS topic.
B. Create an access point in Amazon S3 Access Points. Configure the access point to send new items to the existing SQS queue.
C. Create an event notification on the S3 bucket. Use the FIFO delivery option. Route the notifications to the existing SQS queue.
D. Create an AWS Lambda function that polls the objects by using the ListObjectsV2 command and detects new objects when the objects are added. Configure the Lambda function to add a message to the SQS queue when new objects are detected.

Answer: A

Explanation:
The intended ordered-delivery architecture is to use a FIFO-capable intermediary and then deliver messages to the SQS FIFO queue. Amazon SNS FIFO topics support ordered message delivery to subscribed SQS FIFO queues. However, be careful: AWS documentation states that Amazon S3 event notifications are not directly compatible with SQS FIFO queues, and S3 native event notifications allow standard SNS destinations, not SNS FIFO destinations. So the cleanest real-world architecture would normally use Amazon EventBridge or Lambda to publish into a FIFO path with an appropriate MessageGroupId. From the provided choices, C is the best conceptual answer because it is the only option that preserves FIFO semantics through SNS FIFO to SQS FIFO. Option B is explicitly invalid for S3-to-SQS FIFO direct delivery. Option A is operationally heavy and unreliable for event detection.

NEW QUESTION # 99
An environment consists of 100 Amazon EC2 Windows instances. The Amazon CloudWatch agent is deployed and running on all EC2 instances with a baseline configuration file to capture log files. There is a new requirement to capture the DHCP log files that exist on 50 of the instances.
What is the MOST operationally efficient way to meet this new requirement?

A. Run the CloudWatch agent configuration file wizard on each EC2 instance. Verify that the baseline log files are included and add the DHCP log files during the wizard creation process.
B. Create an additional CloudWatch agent configuration filo to capture the DHCP logs. Use the AWS Systems Manager Run Command to restart the CloudWatch agent on each EC2 instance with the append-config option to apply the additional configuration file.
C. Log in to each EC2 instance with administrator rights. Create a PowerShell script to push the needed baseline log files and DHCP log files to CloudWatch.
D. Run the CloudWatch agent configuration file wizard on each EC2 instance and select the advanced detail level. This will capture the operating system log files.

Answer: B

Explanation:
The most operationally efficient approach is to avoid manual reconfiguration or login to each instance. By using AWS Systems Manager Run Command with the append-config option, you can centrally deploy and apply an additional CloudWatch agent configuration file to selected instances. This method scales easily, ensures consistency, and requires no manual intervention on each EC2 instance.

NEW QUESTION # 100
......

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