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NEW QUESTION: 1
A company's service for video game recommendations has just gone viral The company has new users from all over the world The website for the service is hosted on a set of Amazon EC2 instances in an Auto Scaling group behind an Application Load Balancer (ALB). The website consists of static content with different resources being loaded depending on the device type.
Users recently reported that the load time for the website has increased Administrators are reporting high loads on the EC2 instances that host the service.
Which set actions should a solutions architect take to improve response times?
A. Move content to Amazon S3 Create an Amazon CloudFront distribution to serve content out of the S3 bucket Use the User-Agent HTTP header to load different content
B. Move content to Amazon S3 Create an Amazon CloudFront distribution to serve content out of the S3 bucket Use [email protected] to load different resources based on the User-Agent HTTP header
C. Create a separate ALB for each device type. Create one Auto Scaling group behind each ALB Use Amazon Route 53 to route to different ALBs depending on the User-Agent HTTP header
D. Create separate Auto Scaling groups based on device types Switch to a Network Load Balancer (NLB) Use the User-Agent HTTP header in the NLB to route to a different set of EC2 instances.
NEW QUESTION: 2
You have an application consisting of a stateless web server tier running on Amazon EC2 instances behind
load balancer, and are using Amazon RDS with read replicas. Which of the following methods should you use
to implement a self-healing and cost-effective architecture? Choose 2 answers from the optionsgiven below
A. Use an Amazon RDS Multi-AZ deployment.
B. Set up scripts on each Amazon EC2 instance to frequently send ICMP pings to the load balancer in
order to determine which instance is unhealthy and replace it.
C. Use a larger Amazon EC2 instance type for the web server tier and a larger DB instance type for the
data storage layer to ensure that they don't become unhealthy.
D. Set up an Auto Scalinggroup for the database tier along with an Auto Scaling policy that uses the
Amazon RDS read replica lag CloudWatch metric to scale out the Amazon RDS read replicas.
E. Set up an Auto Scalinggroup for the web server tier along with an Auto Scaling policy that uses the
Amazon RDS DB CPU utilization Cloud Watch metric to scale the instances.
F. Set up an Auto Scalinggroup for the web server tier along with an Auto Scaling policy that uses the
Amazon EC2 CPU utilization CloudWatch metric to scale the instances.
G. Set up a third-party monitoring solution on a cluster of Amazon EC2 instances in order to emit custom
Cloud Watch metrics to trigger the termination of unhealthy Amazon EC2 instances.
The scaling of CC2 Instances in the Autoscaling group is normally done with the metric of the CPU
utilization of the current instances in the Autoscaling group
For more information on scaling in your Autoscaling Group, please refer to the below link:
Amazon RDS Multi-AZ deployments provide enhanced availability and durability for Database (DB)
Instances, making them a natural fit for production database workloads. When you provision a Multi-AZ DB
Instance, Amazon RDS automatically creates a primary DB Instance and synchronously replicates the data to a
standby instance in a different Availability Zone (AZ). Cach AZ runs on its own physically distinct,
independent infrastructure, and is engineered to be highly reliable. In case of an infrastructure failure, Amazon
RDS performs an automatic failover to the standby (or to a read replica in the case of Amazon Aurora), so that
you can resume database operations as soon as the failover is complete. For more information on RDS
Multi-AZ please refer to the below link:
Option A is invalid because if you already have in-built metrics from Cloudwatch, why would you want to
spend more in using a a third-party monitoring solution.
Option B is invalid because health checks are already a feature of AWS CLB
Option C is invalid because the database CPU usage should not be used to scale the web tier.
Option C is invalid because increasing the instance size does not always guarantee that the solution will not
Option F is invalid because increasing Read-Replica's will not suffice for write operations if the primary DB