A user has launched a dedicated EBS backed instance with EC2. You are curious where the EBS volume for this instance will be created.
Which statement is correct about the EBS volume's creation? A. The EBS volume will not be created on the same tenant hardware assigned to the dedicated instance B. AWS does not allow a dedicated EBS backed instance launch C. The EBS volume will be created on the same tenant hardware assigned to the dedicated instance D. The user can specify where the EBS will be created
Correct Answer: A
Explanation:
Explanation: The dedicated instances are Amazon EC2 instances that run in a Virtual Private Cloud (VPC) on hardware that is dedicated to a single customer. When a user launches an Amazon EBS-backed dedicated instance, the EBS volume does not run on single-tenant hardware.
Reference: http://docs.aws.amazon.com/AmazonVPC/latest/UserGuide/dedicated-ins…
Which EC2 functionality allows the user to place the Cluster Compute instances in clusters? A. Cluster group B. Cluster security group C. GPU units D. Cluster placement group
Correct Answer: D
Explanation:
Explanation: The Amazon EC2 cluster placement group functionality allows users to group cluster compute instances in clusters.
Reference: https://aws.amazon.com/ec2/faqs/
If you have a running instance using an Amazon EBS boot partition, you can call the _______ API to release the compute resources but preserve the data on the boot partition. A. Stop Instances B. Terminate Instances C. AMI Instance D. Ping Instance
Correct Answer: A
Explanation:
Explanation: If you have a running instance using an Amazon EBS boot partition, you can also call the Stop Instances API to release the compute resources but preserve the data on the boot partition.
Reference: https://aws.amazon.com/ec2/faqs/#How_quickly_will_systems_be_running
Does Autoscaling automatically assign tags to resources? A. No, not unless they are configured via API. B. Yes, it does. C. Yes, by default. D. No, it does not.
Correct Answer: B
Explanation:
Explanation: Tags don’t have any semantic meaning to Amazon EC2 and are interpreted strictly as a string of characters. Tags are assigned automatically to the instances created by an Auto Scaling group. Auto Scaling adds a tag to the instance with a key of aws: autoscaling:groupName and a value of the name of the Auto Scaling group.
Reference: http://docs.amazonwebservices.com/AWSEC2/latest/UserGuide/Using_Tag…
A user has suspended the scaling process on the Auto Scaling group. A scaling activity to increase the instance count was already in progress.
What effect will the suspension have on that activity? A. No effect. The scaling activity continues B. Pauses the instance launch and launches it only after Auto Scaling is resumed C. Terminates the instance D. Stops the instance temporary
Correct Answer: A
Explanation:
Explanation: The user may want to stop the automated scaling processes on the Auto Scaling groups either to perform manual operations or during emergency situations. To perform this, the user can suspend one or more scaling processes at any time. When this process is suspended, Auto Scaling creates no new scaling activities for that group. Scaling activities that were already in progress before the group was suspended continue until completed.
Reference: http://docs.aws.amazon.com/AutoScaling/latest/DeveloperGuide/AS_Con…
Identify a benefit of using Auto Scaling for your application. A. Your application gains better fault tolerance. B. Your application optimizes only logistics and operations. C. Your application receives latency requirements in every region. D. You acquire clarity on prototypes in your application.
Correct Answer: A
Explanation:
Explanation: When you use Auto Scaling, your applications gain better fault tolerance. Auto Scaling can detect when an instance is unhealthy, terminate it, and launch an instance to replace it. You can also configure Auto Scaling to use multiple Availability Zones. If one Availability Zone becomes unavailable, Auto Scaling can launch instances in another one to compensate.
Reference: http://docs.aws.amazon.com/AutoScaling/latest/DeveloperGuide/how-as…
After moving an E-Commerce website for a client from a dedicated server to AWS you have also set up auto scaling to perform health checks on the instances in your group and replace instances that fail these checks. Your client has come to you with his own health check system that he wants you to use as it has proved to be very useful prior to his site running on AWS.
What do you think would be an appropriate response to this given all that you know about auto scaling and CloudWatch? A. It is not possible to implement your own health check system due to compatibility issues. B. It is not possible to implement your own health check system. You need to use AWSs health check system. C. It is possible to implement your own health check system and then send the instance's health information directly from your system to CloudWatch but only in the US East (N. Virginia) region. D. It is possible to implement your own health check system and then send the instance's health information directly from your system to CloudWatch.
Correct Answer: D
Explanation:
Explanation: Auto Scaling periodically performs health checks on the instances in your group and replaces instances that fail these checks. By default, these health checks use the results of EC2 instance status checks to determine the health of an instance. If you use a load balancer with your Auto Scaling group, you can optionally choose to include the results of Elastic Load Balancing health checks. Auto Scaling marks an instance unhealthy if the calls to the Amazon EC2 action DescribeInstanceStatus returns any other state other than running, the system status shows impaired, or the calls to Elastic Load Balancing action DescribeInstanceHealth returns OutOfService in the instance state field. After an instance is marked unhealthy because of an Amazon EC2 or Elastic Load Balancing health check, it is scheduled for replacement. You can customize the health check conducted by your Auto Scaling group by specifying additional checks or by having your own health check system and then sending the instance’s health information directly from your system to Auto Scaling.
Reference: http://docs.aws.amazon.com/AutoScaling/latest/DeveloperGuide/health…
To scale out the AWS resources using manual AutoScaling, which of the below mentioned parameters should the user change? A. Current capacity B. Desired capacity C. Preferred capacity D. Maximum capacity
Correct Answer: B
Explanation:
Explanation: The Manual Scaling as part of Auto Scaling allows the user to change the capacity of Auto Scaling group. The user can add / remove EC2 instances on the fly. To execute manual scaling, the user should modify the desired capacity. AutoScaling will adjust instances as per the requirements.
Reference: http://docs.aws.amazon.com/AutoScaling/latest/DeveloperGuide/as-man…
Which of the following commands accepts binary data as parameters? A. –user-data B. –cipher text-key C. –aws-customer-key D. –describe-instances-user
Correct Answer: A
Explanation:
Explanation: For commands that take binary data as a parameter, specify that the data is binary content by using the fileb:// prefix. Commands that accept binary data include:
aws ec2 run-instances –user-data parameter. aws s3api put-object –sse-customer-key parameter. aws kms decrypt –ciphertext-blob parameter.
Reference: http://docs.aws.amazon.com/cli/latest/userguide/aws-cli.pdf
You have set up Auto Scaling to automatically scale in. Consequently, you must decide which instances Auto Scaling should end first.
What should you use to configure this? A. An Elastic Load Balancer B. A termination policy C. An IAM role D. Another scaling group
Correct Answer: B
Explanation:
Explanation: If you instruct Auto Scaling to automatically scale in, you must decide which instances Auto Scaling should terminate first. This can be configured through the use of a termination policy.
Reference: http://docs.aws.amazon.com/AutoScaling/latest/DeveloperGuide/AutoSc…
We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept All”, you consent to the use of ALL the cookies. However, you may visit "Cookie Settings" to provide a controlled consent.
This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.
Cookie
Duration
Description
cookielawinfo-checkbox-analytics
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional
11 months
The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-others
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-performance
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy
11 months
The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.
Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.
Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.