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NEW QUESTION: 1

A. Option B
B. Option D
C. Option A
D. Option C
Answer: D

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. 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.
B. 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.
C. 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.
D. Use an Amazon RDS Multi-AZ deployment.
E. 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.
F. 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.
G. 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.
Answer: C,D
Explanation:
Explanation
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:
* http://docs.aws.a
mazon.com/autoscaling/latest/userguide/as-scaling-si mple-step.html
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:
* https://aws.amazon.com/rds/details/multi-az/
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
become unhealthy.
Option F is invalid because increasing Read-Replica's will not suffice for write operations if the primary DB
fails.

NEW QUESTION: 3
What is one of the main steps in the progression of the Coremetrics life cycle?
A. Deliver products
B. Build reporting structure
C. Advance customers
D. Create customer confidence
Answer: C
Explanation:
Reference:http://www.coremetrics.com/solutions/customer-lifecycle-conversion.php