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As far as the AWS Certified CloudOps Engineer - Associate (SOA-C03) exam questions are concerned, these Amazon SOA-C03 exam questions are designed and verified by the experience and qualified SOA-C03 exam trainers. They work together and strive hard to maintain the top standard of SOA-C03 Exam Practice questions all the time. So you rest assured that with the BraindumpsPrep Amazon SOA-C03 exam questions you will ace your SOA-C03 exam preparation and feel confident to solve all questions in the final Amazon SOA-C03 exam.
NEW QUESTION # 154
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: B
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
NEW QUESTION # 155
A company must ensure that all Amazon EC2 Windows instances that are launched in an AWS account have a third-party agent installed. The company uses AWS Systems Manager, and the Windows instances are tagged appropriately. The company must deploy periodic updates to the third-party agent when the updates become available.
Which combination of steps will meet these requirements with the LEAST operational effort?
(Choose two.)
Answer: A,C
Explanation:
Create a Systems Manager Distributor package for the third-party agent.
Distributor is the native SSM feature for packaging and distributing software like third-party agents, making it easy to manage versions and updates centrally.
Create a Systems Manager State Manager association to run the AWS-ConfigureAWSPackage document. Populate the details of the third-party agent package. Specify instance tags based on the appropriate tag value for Windows.
State Manager ensures that all tagged Windows EC2 instances continuously have the agent installed and updated automatically, providing ongoing compliance with minimal operational effort.
NEW QUESTION # 156
A company deploys AWS infrastructure in a VPC that has an internet gateway. The VPC has public subnets and private subnets. An Amazon RDS for MySQL DB instance is deployed in a private subnet. An AWS Lambda function uses the same private subnet and connects to the DB instance to query data.
A developer modifies the Lambda function to require the function to publish messages to an Amazon Simple Queue Service (Amazon SQS) queue. After these changes, the Lambda function times out when it tries to publish messages to the SQS queue.
Which solutions will resolve this issue? (Choose two.)
Answer: A,B
Explanation:
The Lambda function now runs inside a private subnet. To reach public AWS service endpoints like SQS over the internet, resources in private subnets need an egress path, typically via a NAT gateway. Adding a NAT gateway and updating the route table lets the Lambda function call the SQS public endpoint while still accessing the RDS instance in the private subnet.
Alternatively, you can keep the subnet private and create an interface VPC endpoint for SQS.
This gives the Lambda function a private, VPC-internal path to SQS without requiring internet access.
NEW QUESTION # 157
A company runs a critical application on Amazon EC2 instances. The application uses an Auto Scaling group to scale based on traffic to the application. To comply with regulations, the company must patch all EC2 instances with the latest security patches every day without any downtime.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: C
Explanation:
The key requirements are daily patching, zero downtime, and least operational overhead. The most operationally efficient way to achieve frequent patch compliance in an Auto Scaling environment is to adopt an immutable infrastructure approach: bake patches into a new AMI and then roll the fleet to that AMI in a controlled, health-checked manner. AWS Systems Manager Automation can orchestrate patching steps reliably and repeatedly, producing a patched AMI on a schedule without engineers manually logging into instances. After the AMI is created, updating the Auto Scaling group launch template ensures that all newly launched instances use the patched image.
Auto Scaling instance refresh then performs the rollout across the group with guardrails: it replaces instances gradually, can respect minimum healthy percentages, and works with load balancer health checks so traffic remains served while instances are rotated. This satisfies "no downtime" because capacity stays available and requests are routed only to healthy instances during the replacement process.
NEW QUESTION # 158
A SysOps administrator needs to implement a solution that protects credentials for an Amazon RDS for MySQL DB instance. The solution must rotate the credentials automatically one time every week.
Which combination of steps will meet these requirements? (Select TWO.)
Answer: A,D
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Documents:
The correct answers are B and D. AWS CloudOps documentation clearly states that AWS Secrets Manager is the recommended service for storing and managing database credentials securely. Secrets Manager integrates natively with Amazon RDS and supports automatic, scheduled secret rotation.
To rotate credentials weekly, Secrets Manager requires a Lambda rotation function. AWS provides managed rotation templates for Amazon RDS for MySQL that update the database password and the stored secret atomically. This combination ensures credentials are protected, rotated automatically, and audited with minimal operational effort.
Option A is incorrect because RDS Proxy does not store or rotate credentials; it only retrieves them from Secrets Manager. Option C is incorrect because Systems Manager Parameter Store does not support native automatic rotation. Option E is incorrect because Automation runbooks are not the recommended mechanism for secrets rotation and add unnecessary complexity.
AWS CloudOps best practices strongly recommend Secrets Manager with Lambda-based rotation for database credential protection and compliance.
References:
AWS Secrets Manager User Guide - Automatic Rotation
Amazon RDS User Guide - Credential Management
AWS SysOps Administrator Study Guide - Secrets and Key Management
NEW QUESTION # 159
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