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NEW QUESTION 33
To serve Web traffic for a popular product your chief financial officer and IT director have purchased 10 m1.large heavy utilization Reserved Instances (RIs), evenly spread across two availability zones; Route 53 is used to deliver the traffic to an Elastic Load Balancer (ELB). After several months, the product grows even more popular and you need additional capacity. As a result, your company purchases two C3.2xlarge medium utilization Ris. You register the two c3.2xlarge instances with your ELB and quickly find that the m1.large instances are at 100% of capacity and the c3.2xlarge instances have significant capacity that's unused.
Which option is the most cost effective and uses EC2 capacity most effectively?

A. Configure ELB with two c3.2xlarge instances and use on-demand Autoscaling group for up to two additional c3.2xlarge instances. Shut off m1.large instances.B. Route traffic to EC2 m1.large and c3.2xlarge instances directly using Route 53 latency based routing and health checks. Shut off ELB.C. Use a separate ELB for each instance type and distribute load to ELBs with Route 53 weighted round robin.D. Configure Autoscaling group and Launch Configuration with ELB to add up to 10 more on-demand m1.large instances when triggered by Cloudwatch. Shut off c3.2xlarge instances.

Answer: C

 

NEW QUESTION 34
A company is using Amazon Aurora MySQL for a customer relationship management (CRM) application.
The application requires frequent maintenance on the database and the Amazon EC2 instances on which the application runs For AW5 Management Console access, the system administrators authenticate against AWS Identity and Access Management (IAM) using an internal identity provider. For database access, each system administrator has a user name and password that have previously been configured within the database.
A recent security audit revealed that the database passwords are not frequently rotated The company wants to replace the passwords with temporary credentials using the company's existing AWS access controls Which set of options will meet the company's requirements?

A. Create a new AWS Secrets Manager entry for each database password Configure password rotation for each secret using an AWS Lambda function in the same VPC as the database cluster Create an IAM policy allowing each system administrator to retrieve their current password Use the AWS CLI to retrieve credentials when connecting to the database.B. Enable IAM database authentication on the database Attach an IAM policy to each system administrator's role to map the role to the database user name Install the Amazon Aurora SSL certificate bundle to the system administrators' certificate trust store. Use the AWS CLI to generate an authentication token used when connecting to The databaseC. Create a new AWS Systems Manager Parameter Store entry for each database password Enable parameter expiration to invoke an AWS Lambda function to perform password rotation by updating the parameter value Create an IAM policy allowing each system administrator to retrieve their current password from the Parameter Store. Use the AWS CLI to retrieve credentials when connecting to the databaseD. Enable IAM database authentication on the database Configure the database to use the IAM identity provider to map the administrator roles to the database user Install the Amazon Aurora SSL certificate bundle to the system administrators' certificate trust store Use the AWS CLI to generate an authentication token used when connecting to the database.

Answer: B

 

NEW QUESTION 35
A company is planning to deploy a new business analytics application that requires 10.000 hours of compute time each month. The compute resources can have flexible availability, but must be as cost-effective as possible. The company will also provide a reporting service to distribute analytics reports, which needs to run at all times How should the solutions architect design a solution that meets these requirements?

A. Deploy the reporting service as a container in Amazon ECS with AWS Fargate as the compute option. Deploy the analytics application on a Spot Fleet. Set the analytics application to use a custom metric with Amazon EC2 Auto Scaling applied to the Spot Fleet.B. Deploy the reporting service on a Spot Fleet. Deploy the analytics application as a container in Amazon ECS with AWS Fargate as the compute option Set the analytics application to use a custom metric with Service Auto Scaling.C. Deploy the reporting service on an On-Demand Instance. Deploy the analytics application as a container in AWS Batch with AWS Fargate as the compute option Set the analytics application to use a custom metric with Service Auto Scaling.D. Deploy the reporting service as a container in Amazon ECS with AWS Fargate as the compute option. Deploy the analytics application on an On-Demand Instance and purchase a Reserved Instance with a 3-year term. Set the analytics application to use a custom metric with Amazon EC2 Auto Scaling applied to the On-Demand Instance.

Answer: A

 

NEW QUESTION 36
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