(An administrator needs to create Systems Manager Automation documents to take action based on AWS Config rules. Which two file formats should be used? Choose 2 answers.)
Answer(s): A,B
Systems Manager Automation documents can be created using JSON or YAML file formats to define workflows and actions based on AWS Config rules. These formats allow administrators to specify the steps and parameters for automation tasks, such as remediation actions triggered by Config rule evaluations. The WGU Cloud Deployment and Operations Study Guide (Section 5.1, Systems Manager Automation) states that both JSON and YAML are supported formats for writing Automation documents, providing flexibility in scripting automation logic. XML and CSV are not supported formats for this purpose.
(What needs to be configured in Systems Manager to run Automation documents on schedule?)
Answer(s): A
To run Automation documents on a schedule in AWS Systems Manager, a maintenance window must be configured. Maintenance windows define the time periods during which automated tasks, including the execution of Automation documents, can run. The WGU Cloud Deployment and Operations Study Guide (Section 5.2, Maintenance Windows) explains that maintenance windows are used to schedule and control the execution of Systems Manager tasks, ensuring they align with operational windows. Rate control, session preferences, and resource groups are not used for scheduling automation tasks.
(What should be configured in Systems Manager to set the error threshold for automation documents?)
Answer(s): C
In AWS Systems Manager, the error threshold for automation documents is configured using rate control. Rate control allows administrators to define the maximum number of errors or concurrent executions that can occur before an automation task is throttled or stopped, ensuring system stability. The WGU Cloud Deployment and Operations Study Guide (Section 5.1, Systems Manager Automation) explicitly states, "Rate control settings in Automation documents can be used to specify the maximum number of errors allowed during execution, helping to manage error thresholds effectively." Resource groups, session preferences, and maintenance windows do not directly address error thresholds.
(A company is developing an application with the following requirements: · Amazon EC2 instances must be restricted to Free Tier-eligible types. · Instances of unapproved types must be terminated automatically. Which two services should be used? Choose 2 answers.)
Answer(s): A,D
To meet the requirements of restricting EC2 instances to Free Tier-eligible types and automatically terminating unapproved instances, AWS Systems Manager and AWS Config should be used. Systems Manager can enforce instance compliance through automation documents that monitor and terminate non-compliant instances. AWS Config provides continuous monitoring and evaluation of resource configurations against defined rules, such as those limiting instance types to Free Tier- eligible options (e.g., t2.micro or t3.micro). The WGU Cloud Deployment and Operations Study Guide (Section 6.1, AWS Config and Systems Manager) notes, "AWS Config can be configured with a rule to detect non-Free Tier EC2 instances, while Systems Manager Automation can execute a termination script based on Config findings." OpsWorks and Launch Wizard are not designed for this specific compliance and automation use case.
(Which two retention periods are supported by Performance Insights? Choose 2 answers.)
Answer(s): B,C
Amazon RDS Performance Insights supports retention periods of 7 days and 1 year for storing performance data, depending on the configuration and edition. The default retention is 7 days for standard monitoring, while enabling enhanced monitoring or the Performance Insights extended retention feature allows data to be retained for up to 1 year. The WGU Cloud Deployment andOperations Study Guide (Section 7.2, Performance Insights) states, "Performance Insights offers a 7- day retention period by default, with an option to extend to 1 year for detailed historical analysis, supporting cost and performance optimization." Options A (1 day) and D (2 years) are not supported retention periods.
(A company uses SQS and EC2 to convert videos uploaded by users. In the evenings, videos take several hours to convert when they normally take minutes. The user base is expected to grow a hundredfold in the next 12 months. Which solution should be used to reduce the conversion delays?)
To reduce conversion delays caused by increased demand, the company should configure a CloudWatch alarm to scale the EC2 fleet based on the SQS queue length. This auto-scaling approach dynamically adjusts the number of EC2 instances to handle the workload, especially during peak evening hours and anticipated growth. The WGU Cloud Deployment and Operations Study Guide (Section 3.3, Auto Scaling and SQS) explains, "Auto Scaling can be triggered by a CloudWatch alarm monitoring SQS queue depth, ensuring the EC2 fleet scales out to process video conversion tasks efficiently as the queue length increases." Spot instances, dead-letter queues, and instance type upgrades do not directly address dynamic scaling needs.
(Which solution sends DNS queries to separate AWS compute instances?)
Answer(s): B
Amazon Route 53 is the AWS solution that sends DNS queries to separate AWS compute instances by leveraging routing policies to distribute traffic across multiple resources. It acts as a scalable Domain Name System (DNS) service, directing queries to healthy instances based on configurations like latency or weighted routing. The WGU Cloud Deployment and Operations Study Guide (Section 3.1, Route 53) states, "Route 53 uses DNS to route end-user requests to multiple AWS compute instances, supporting features like health checks and traffic distribution." Elastic Beanstalk, CloudWatch, and EC2 Auto Scaling do not perform DNS query routing.
(Which service should be used to horizontally scale Amazon EC2 instances?)
Elastic Load Balancing (ELB) should be used to horizontally scale Amazon EC2 instances by distributing incoming traffic across multiple instances, improving availability and fault tolerance. ELBworks in conjunction with Auto Scaling groups to add or remove instances based on demand. The WGU Cloud Deployment and Operations Study Guide (Section 3.2, Elastic Load Balancing) notes, "Elastic Load Balancing distributes traffic across EC2 instances, enabling horizontal scaling as part of an Auto Scaling group to handle increased load efficiently." Elastic IPs, elastic network interfaces, and Elastic Beanstalk do not provide this scaling functionality.
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