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Amazon SOA-C03 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Networking and Content Delivery	18%	- Optimize and troubleshoot network connectivity and performance 1. Work with AWS Direct Connect, Transit Gateway, and CloudFront - Configure and maintain AWS networking services 1. Manage VPC, subnets, gateways, routing, and security groups
Topic 2: Monitoring, Logging, Analysis, Remediation, and Performance Optimization	22%	- Collect and interpret metrics, logs, and events 1. Analyze logs with CloudWatch Logs, CloudTrail, and other tools 2. Use Amazon CloudWatch for monitoring and alerting - Remediate issues and optimize performance 1. Tune resources for cost and performance efficiency 2. Implement automated responses and corrective actions
Topic 3: Reliability and Business Continuity	22%	- Design and implement high availability and fault tolerance 1. Configure multi-AZ, scaling, and redundancy - Implement backup, restore, and disaster recovery strategies 1. Manage snapshots, backups, and replication 2. Plan and execute recovery procedures
Topic 4: Deployment, Provisioning, and Automation	20%	- Automate operational tasks and workflows 1. Implement automation with AWS Systems Manager, Lambda, EventBridge 2. Manage configuration and state compliance - Deploy and provision resources consistently 1. Manage infrastructure provisioning and updates 2. Use AWS CloudFormation, Terraform, or other IaC tools
Topic 5: Security and Compliance	18%	- Enforce security controls and compliance requirements 1. Secure data at rest and in transit 2. Audit and validate compliance with standards - Implement identity and access management 1. Manage IAM users, roles, policies, and permissions

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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q160-Q165):

NEW QUESTION # 160
A company has a production application that runs on large compute optimized Amazon EC2 instances behind an Application Load Balancer (ALB). The instances are in an Amazon EC2 Auto Scaling group. The Auto Scaling group has a desired capacity of 2, a maximum capacity of 2, and a minimum capacity of 1.
The application is CPU-bound. The EC2 instances show consistent CPU utilization of 90% or greater during peak usage periods. These peak usage periods are unpredictable and cause performance issues and latency issues.
Which solution will automate the resolution of these issues?

A. Deploy additional instances outside the Auto Scaling group. Create a new target group that includes the existing instances and the additional instances as targets. Reconfigure the ALB to direct traffic to the new target group.
B. Increase the maximum capacity of the Auto Scaling group. Configure a scaling policy to add instances when instance CPU utilization is greater than 80%.
C. Increase the maximum capacity of the Auto Scaling group. Change the instances to a burstable instance type.
D. Increase the desired capacity of the Auto Scaling group. Configure a scaling policy to add instances when instance CPU utilization is greater than 80%.

Answer: B

Explanation:
The Auto Scaling group cannot scale out because its maximum capacity is already set to 2, the same as the current desired capacity. To automate the resolution, the CloudOps engineer must raise the maximum capacity and configure a scaling policy that adds instances when CPU utilization exceeds the threshold. Since the workload is CPU-bound and peak periods are unpredictable, metric-based scaling is appropriate.

NEW QUESTION # 161
A company's reporting job that previously ran in 15 minutes is now taking 1 hour. The application runs on Amazon EC2 and extracts data from an Amazon RDS for MySQL DB instance.
CloudWatch metrics show high Read IOPS even when reports are not running. The CloudOps engineer must improve performance and availability.
Which solution will meet these requirements?

A. Deploy an RDS read replica and update the reporting job to query the reader endpoint.
B. Create a CloudFront distribution with the RDS instance as the origin.
C. Increase the size of the RDS instance.
D. Configure Amazon ElastiCache and query it for reports.

Answer: A

Explanation:
RDS read replicas offload read traffic from the primary database, improving performance and availability. By directing reporting queries to the reader endpoint, the primary instance is freed from heavy read workloads.
ElastiCache is unsuitable for complex SQL reporting. CloudFront cannot front a database. Increasing instance size does not address inefficient read scaling.
Thus, read replicas are the correct solution.

NEW QUESTION # 162
A company has a microservice that runs on a set of Amazon EC2 instances. The EC2 instances run behind an Application Load Balancer (ALB).
A CloudOps engineer must use Amazon Route 53 to create a record that maps the ALB URL to example.com.
Which type of record will meet this requirement?

A. A CNAME record
B. An alias record
C. An AAAA record
D. An A record

Answer: B

Explanation:
To route traffic from example.com to an Application Load Balancer (ALB), you must use an alias record in Amazon Route 53. Alias records are a Route 53-specific extension of DNS that allows mapping a domain name directly to AWS resources such as ALBs, CloudFront distributions, and S3 websites. Unlike a CNAME record, an alias record works at the zone apex (e.g., example.com) and does not incur extra DNS lookup charges.

NEW QUESTION # 163
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 and minimize the recovery time objective (RTO).
Which solution will meet these requirements?

A. Create an Amazon EventBridge rule to initiate a backup every hour.
B. Replace ElastiCache (Redis OSS) with ElastiCache (Memcached).
C. Enable automatic backups and restore the backups when necessary.
D. Create a read replica in a second Availability Zone and enable Multi-AZ for the Redis replication group.

Answer: D

Explanation:
Comprehensive Explanation (250-350 words):
Amazon ElastiCache for Redis supports Multi-AZ replication groups, which provide high availability by automatically promoting a replica in another Availability Zone if the primary node fails. This architecture significantly reduces recovery time because failover occurs automatically without manual intervention.
Creating a read replica in a second AZ ensures redundancy and resilience against AZ-level failures. Enabling Multi-AZ allows Redis to maintain availability during infrastructure issues or maintenance events.
Option A removes persistence and high availability features. Options B and D rely on backups, which increase RTO because restore operations take time and require manual steps.
Therefore, Multi-AZ Redis with replicas provides the best combination of resilience and minimal RTO.

NEW QUESTION # 164
A company uses hundreds of Amazon EC2 On-Demand Instances and Spot Instances to run production and non-production workloads. The company installs and configures the AWS Systems Manager Agent (SSM Agent) on the EC2 instances.
During a recent instance patch operation, some instances were not patched because the instances were either busy or down. The company needs to generate a report that lists the current patch version of all instances.
Which solution will meet these requirements in the MOST operationally efficient way?

A. Use Systems Manager Inventory to collect patch versions. Generate a report of all instances.
B. Use Systems Manager Run Command to remotely collect patch version information. Generate a report of all instances.
C. Use AWS Config to track EC2 instance configuration changes by using output from the SSM Agents. Create a custom rule to check for patch versions. Generate a report of all unpatched instances.
D. Use AWS Config to monitor the patch status of the EC2 instances by using output from the SSM Agents. Create a configuration compliance rule to check whether patches are installed. Generate a report of all instances.

Answer: A

Explanation:
AWS Systems Manager Inventory is designed to collect metadata from managed instances, including installed software, applications, and patch information. It works asynchronously and does not require instances to be actively running a command at the time of collection, which is critical when instances may be busy or temporarily unavailable during patch windows.
Inventory data is stored centrally and can be queried to generate reports showing the current patch level or installed patch versions across all managed instances. This makes it well-suited for large fleets that include both On-Demand and Spot Instances and that may scale dynamically.

NEW QUESTION # 165
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