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Which of the following are true with regard to Opsworks stack Instances? Choose 3 answers from the options given below.- A. Youcan start and stop instances manually.
- B. Astacks instances can be a combination of both Linux and Windows based operatingsystems.
- C. You can use EC2 Instances that were createdoutisde the boundary of Opswork.
- D. Youcanuseinstancesrunningonyourownhardware.
Answer: A,C,D
Explanation:
Explanation
The AWS Documentation mentions the following- You can start and stop instances manually or have AWS Ops Works Stacks automatically scale the number of instances. You can use time-based automatic scaling with any stack; Linux stacks also can use load-based scaling.
- In addition to using AWS OpsWorks Stacks to create Amazon L~C2 instances, you can also register instances with a Linux stack that were created outside of AWS Ops Works Stacks. This includes Amazon CC2 instances and instances running on your own hardware. However, they must be running one of the supported Linux distributions. You cannot register Amazon CC2 or on-premises Windows instances.
- A stack's instances can run either Linux or Windows. A stack can have different Linux versions or distributions on different instances, but you cannot mix Linux and Windows instances.
For
more information on Opswork instances, please visit the below url http://docs.aws.amazon.com/opsworks/latest/userguide/workinginstances-os. html
NEW QUESTION 27
A DevOps Engineer discovered a sudden spike in a website's page load times and found that a recent deployment occurred. A brief diff of the related commit shows that the URL for an external API call was altered and the connecting port changed from 80 to 443. The external API has been verified and works outside the application. The application logs show that the connection is now timing out, resulting in multiple retries and eventual failure of the call.
Which debug steps should the Engineer take to determine the root cause of the issue'?
- A. Check the application logs being written to Amazon CloudWatch Logs for debug information.
Check the ingress security group rules and routing rules for the VPC. - B. Check the VPC Flow Logs looking for denies originating from Amazon EC2 instances that are part of the web Auto Scaling group. Check the ingress security group rules and routing rules for the VPC.
- C. Check the egress security group rules and network ACLs for the VPC. Also check the VPC flow logs looking for accepts originating from the web Auto Scaling group.
- D. Check the existing egress security group rules and network ACLs for the VPC. Also check the application logs being written to Amazon CloudWatch Logs for debug information.
Answer: C
NEW QUESTION 28
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 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.
- 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 RDS DB CPU utilization Cloud Watch metric to scale the instances.
- 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 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.
- 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. 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.
Answer: A,B
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 29
When specifying more than one conditional requirements for a task, what is the proper method? -
A. - when: foo == "hello" && bar == "world"
-
B. - when: foo == "hello" - when: bar == "world"
-
C. - when: foo is "hello" and bar is "world"
-
D. - when: foo == "hello" and bar == "world"
Answer: D
Explanation:
Ansible will allow you to stack conditionals usingand' and
or'. It requires it to be in the same
when' statement, comparisons must be
==' for equals or!=' for not equals and the
and/or' must be written as such, not `&&/||'.
Reference: http://docs.ansible.com/ansible/playbooks_conditionals.html#the-when-statement
NEW QUESTION 30
A DevOps Engineer is using AWS CodeDeploy across a fleet of Amazon EC2 instances in an EC2 Auto Scaling group. The associated CodeDeploy deployment group, which is integrated with EC2 Auto Scaling, is configured to perform in-place deployments with CodeDeployDefault.OneAtATime. During an ongoing new deployment, the Engineer discovers that, although the overall deployment finished successfully, two out of five instances have the previous application revision deployed. The other three instances have the newest application revision. What is likely causing this issue?- A. The two affected instances failed to fetch the new deployment.
- B. The CodeDeploy agent was not installed in two affected instances.
- C. EC2 Auto Scaling launched two new instances while the new deployment had not yet finished, causing the previous version to be deployed on the affected instances.
- D. A failed AfterInstall lifecycle event hook caused the CodeDeploy agent to roll back to the previous version on the affected instances.
Answer: C
NEW QUESTION 31
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