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| Topic | Details |
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| 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.
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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 | - 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 4 | - 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 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 (Q12-Q17):
NEW QUESTION # 12
A company has a software as a service (SaaS) application. The company has integrated the application with AWS services by using the AWS SDK and an IAM user's access key ID and secret access key.
The company needs to implement the principle of least privilege for the IAM user. The company must avoid the usage of permanent credentials.
Which solution will meet these requirements?
- A. Add a policy to the existing IAM user to scope the permissions to only the permissions that the user needs for the application.
- B. Add an IAM group to scope the permissions to only the permissions that the user needs for the application. Add the IAM user to the IAM group.
- C. Migrate the application to use the AWS STS AssumeRoleWithSAML API operation.
- D. Migrate the application to use the AWS STS AssumeRole API operation. Allow the IAM user to call only AWS STS.
Answer: D
Explanation:
Using AWS STS AssumeRole allows the SaaS application to obtain temporary security credentials instead of relying on permanent IAM user access keys. The IAM user can be limited to only assuming the required role, while the role policy defines the least-privilege permissions needed by the application.
NEW QUESTION # 13
A company's architecture team must receive immediate email notifications whenever new Amazon EC2 instances are launched in the company's main AWS production account.
What should a CloudOps engineer do to meet this requirement?
- A. Create an Amazon Simple Notification Service (Amazon SNS) topic and a subscription that uses the email protocol. Enter the architecture team's email address as the subscriber. Create an Amazon EventBridge rule that reacts when EC2 instances are launched. Specify the SNS topic as the rule's target.
- B. Create an Amazon Simple Notification Service (Amazon SNS) topic. Configure AWS Systems Manager to publish EC2 events to the SNS topic. Create an AWS Lambda function to poll the SNS topic. Configure the Lambda function to send any messages to the architecture team's email address.
- C. Create an Amazon Simple Queue Service (Amazon SQS) queue and a subscription that uses the email protocol. Enter the architecture team's email address as the subscriber. Create an Amazon EventBridge rule that reacts when EC2 instances are launched. Specify the SQS queue as the rule's target.
- D. Create a user data script that sends an email message through a smart host connector. Include the architecture team's email address in the user data script as the recipient. Ensure that all new EC2 instances include the user data script as part of a standardized build process.
Answer: A
Explanation:
As per the AWS Cloud Operations and Event Monitoring documentation, the most efficient method for event-driven notification is to use Amazon EventBridge to detect specific EC2 API events and trigger a Simple Notification Service (SNS) alert.
EventBridge continuously monitors AWS service events, including RunInstances, which signals the creation of new EC2 instances. When such an event occurs, EventBridge sends it to an SNS topic, which then immediately emails subscribed recipients - in this case, the architecture team.
This combination provides real-time, serverless notifications with minimal management. SQS (Option C) is designed for queue-based processing, not direct user alerts. User data scripts (Option A) and custom polling with Lambda (Option D) introduce unnecessary operational complexity and latency.
Hence, Option B is the correct and AWS-recommended CloudOps design for immediate launch notifications.
NEW QUESTION # 14
A company ' s CloudOps engineer deploys four new Amazon EC2 instances by using the standard Amazon Linux Amazon Machine Image (AMI). The company needs to be able to use AWS Systems Manager to manage the instances. The CloudOps engineer notices that the instances do not appear in the Systems Manager console.
What must the CloudOps engineer do to resolve this issue?
- A. Connect to each instance by using SSH. Create an ssm-user account. Add the ssm-user account to the
/etc/sudoers.d directory. - B. Attach an IAM instance profile to the instances. Ensure that the instance profile contains the AmazonSSMManagedInstanceCore policy.
- C. Connect to each instance by using SSH. Install Systems Manager Agent on each instance. Configure Systems Manager Agent to start automatically when the instances start up.
- D. Use AWS Certificate Manager (ACM) to create a TLS certificate. Import the certificate into each instance. Configure Systems Manager Agent to use the TLS certificate for secure communications.
Answer: B
Explanation:
Standard Amazon Linux AMIs typically already include the Systems Manager Agent. If instances do not appear as managed nodes in Systems Manager, the most common missing requirement is the instance profile permissions that allow the SSM Agent to communicate with Systems Manager service endpoints. The AWS managed policy AmazonSSMManagedInstanceCore grants the required permissions for core Systems Manager functionality. Option A is unnecessary because the standard Amazon Linux AMI already includes SSM Agent in most supported versions. Option B is irrelevant; ACM certificates are not required for SSM Agent registration. Option C is also wrong because the ssm-user account is created and managed by Session Manager when needed; manually creating it does not register the instance. Therefore, attach an IAM instance profile with AmazonSSMManagedInstanceCore.
NEW QUESTION # 15
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 SysOps administrator needs to set up monitoring for the Lambda function. The SysOps administrator wants to receive a notification through an Amazon Simple Notification Service (Amazon SNS) topic if the function takes more than 10 seconds to process an event.
Which solution will meet this requirement?
- A. 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. - B. 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.
- 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 SysOps administrator 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: A
Explanation:
AWS Lambda automatically publishes operational metrics to Amazon CloudWatch, including Duration, which represents the time a function invocation takes to run. To alert when processing time exceeds 10 seconds, the most direct and operationally efficient solution is to create a CloudWatch alarm on the Lambda Duration metric and configure the alarm action to publish to an SNS topic. This meets the monitoring requirement without requiring log parsing or additional query mechanisms.
Option B fits best because it uses the built-in metric stream for Lambda observability:
CloudWatch metrics are near real-time, require minimal configuration, and alarms are a standard CloudOps practice for proactive notification. The alarm can be configured with the appropriate statistic (for example, Maximum or p99 via metric math where applicable) and a threshold of
10,000 milliseconds, ensuring the operations team is notified before performance degrades further.
NEW QUESTION # 16
A company is preparing for a marketing campaign that will increase traffic to a new web application. The application uses Amazon API Gateway and AWS Lambda for the application logic. The application stores relevant user data in an Amazon Aurora MySQL DB cluster that has one Aurora Replica. Database queries for the application are 5% write and 95% read. What should a CloudOps engineer do to scale the database when traffic increases?
- A. Configure AWS Auto Scaling to monitor the Aurora cluster. Configure AWS Auto Scaling to add or remove Aurora Replicas in the cluster based on the average CPU utilization of the existing Aurora Replica.
- B. Configure AWS Auto Scaling to monitor the Aurora cluster. Configure AWS Auto Scaling to add or remove Aurora Replicas in the cluster based on the average CPU utilization of the primary instance.
- C. Configure Aurora Auto Scaling to increase or decrease the size of the Aurora Replicas based on the average CPU utilization of the Aurora Replicas.
- D. Configure Aurora Auto Scaling to add or remove Aurora Replicas in the cluster based on the average CPU utilization of the Aurora Replicas.
Answer: D
Explanation:
Because the application workload is 95% reads, the best database scaling approach is to add or remove Aurora Replicas. Aurora Auto Scaling can automatically adjust the number of Aurora Replicas in a DB cluster based on metrics such as average CPU utilization or average connections across replicas. This allows the read tier to scale as campaign traffic increases while the primary writer continues to handle the smaller write workload. Option B is incorrect because Aurora Auto Scaling scales the number of replicas; it does not vertically resize existing replicas.
Options C and D are worded around generic AWS Auto Scaling rather than Aurora Auto Scaling and use less appropriate metric relationships. Scaling based on replica CPU utilization directly addresses read pressure. Therefore, configure Aurora Auto Scaling for Aurora Replicas.
NEW QUESTION # 17
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