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NEW QUESTION: 1

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

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 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.
B. Use an Amazon RDS Multi-AZ deployment.
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. 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.
E. 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.
F. 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.
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.
Answer: B,C
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.amazon.com/autoscaling/latest/userguide/as-scaling-simple-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
SIMULATION
Describe how administrators can examine what configuration changes have been made
Answer:
Explanation:
See the solution below
Explanation/Reference:
1. Through the audit trail (at Setup | Security Controls).
2. It will show the 20 most; recent setup changes, you can download a complete history for the last 180 days
3. There are over three dozen items tracked (see "Monitoring Setup Changes" in help)
4. Alternatively, you might use Dream factory's Snapshot or other Metadata API-based tools.

NEW QUESTION: 4
When validating imported data, the control manager at your client has identified an incorrect Risk-Control
mapping; that is, Control A was mapped incorrectly to Risk B instead of Risk A.
What needs to be done to fix the mapping?
A. 1. Edit Risk A definition > Add related Control A
2. Edit Risk B definition > Remove related Control A
B. 1. Edit Risk B definition > Set status to Inactive
2. Edit Control A definition > Add related Risk A
C. Edit Process A definition > Remove the Control A - Risk B relationship and add Control A - Risk A
relationship
D. Edit Control A definition > Remove related Risk B and add related Risk A
Answer: C

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