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NEW QUESTION 48
You are in charge of designing Cloudformation templates for your company. One of the key requirements is to ensure that if a Cloudformation stack is deleted, a snapshot of the relational database is created which is part of the stack. How can you achieve this in the best possible way?
- A. Create a new cloudformation template to create a snapshot of the relational database.
- B. Use the Update policy of the cloudformation template to ensure a snapshot is created of the relational database.
- C. Create a snapshot of the relational database beforehand so that when the cloudformation stack is deleted, the snapshot of the database will be present.
- D. Use the Deletion policy of the cloudformation template to ensure a snapshot is created of the relational database.
Answer: D
Explanation:
Explanation
The AWS documentation mentions the following
With the Deletion Policy attribute you can preserve or (in some cases) backup a resource when its stack is deleted. You specify a DeletionPolicy attribute for each resource that you want to control. If a resource has no DeletionPolicy attribute, AWS Cloud Formation deletes the resource by default. Note that this capability also applies to update operations that lead to resources being removed.
For more information on the Deletion policy, please visit the below URL:
* http://docs.aws.amazon.com/AWSCIoudFormation/latest/UserGuide/aws-attribute-deletionpolicy.html
NEW QUESTION 49
When logging with Amazon CloudTrail, API call information for services with single end points is
____.
- A. captured in the same region as to which the API call is made and processed and delivered to the region associated with your Amazon S3 bucket
- B. captured and processed in the same region as to which the API call is made and delivered to the region associated with your Amazon S3 bucket
- C. captured, processed, and delivered to the region associated with your Amazon S3 bucket
- D. captured in the region where the end point is located, processed in the region where the CloudTrail trail is configured, and delivered to the region associated with your Amazon S3 bucket
Answer: D
Explanation:
When logging with Amazon CloudTrail, API call information for services with regional end points (EC2, RDS etc.) is captured and processed in the same region as to which the API call is made and delivered to the region associated with your Amazon S3 bucket. API call information for services with single end points (IAM, STS etc.) is captured in the region where the end point is located, processed in the region where the CloudTrail trail is configured, and delivered to the region associated with your Amazon S3 bucket.
Reference: https://aws.amazon.com/cloudtrail/faqs/
NEW QUESTION 50
You have a code repository that uses Amazon S3 as a data store. During a recent audit of your security controls, some concerns were raised about maintaining the integrity of the data in the Amazon S3 bucket.
Another concern was raised around securely deploying code from Amazon S3 to applications running on Amazon EC2 in a virtual private cloud. What are some measures that you can implement to mitigate these concerns? Choose two answers from the options given below.
- A. Use AWS Data Pipeline with multi-factor authentication to securely deploy code from the Amazon S3 bucket to your Amazon EC2 instances.
- B. Use a configuration management service to deploy AWS Identity and Access Management user credentials to the Amazon EC2 instances. Use these credentials to securely access the Amazon S3 bucket when deploying code.
- C. Add an Amazon S3 bucket policy with a condition statement to allow access only from Amazon EC2 instances with RFC 1918 IP addresses and enable bucket versioning.
- D. Use AWS Data Pipeline to lifecycle the data in your Amazon S3 bucket to Amazon Glacier on a weekly basis.
- E. Add an Amazon S3 bucket policy with a condition statement that requires multi-factor authentication in order to delete objects and enable bucket versioning.
- F. Create an Amazon Identity and Access Management role with authorization to access the Amazon S3 bucket, and launch all of your application’s Amazon EC2 instances with this role.
Answer: E,F
Explanation:
Explanation
You can add another layer of protection by enabling MFA Delete on a versioned bucket. Once you do so, you must provide your AWS account’s access keys and a valid code from the account’s MFA device in order to permanently delete an object version or suspend or reactivate versioning on the bucket.
For more information on MFA please refer to the below link:
* https://aws.amazon.com/blogs/security/securing-access-to-aws-using-mfa-part-3/ IAM roles are designed so that your applications can securely make API requests from your instances, without requiring you to manage the security credentials that the applications use. Instead of creating and distributing your AWS credentials, you can delegate permission to make API requests using 1AM roles For more information on Roles for CC2 please refer to the below link:
* http://docs.aws.a
mazon.com/AWSCC2/latest/UserGuide/iam-roles-for-amazon-ec2. htmI
Option A is invalid because this will not address either the integrity or security concern completely.
Option C is invalid because user credentials should never be used in CC2 instances to access AWS resources.
Option C and F are invalid because AWS Pipeline is an unnecessary overhead when you already have inbuilt controls to manager security for S3.
NEW QUESTION 51
You work for a startup that has developed a new photo-sharing application for mobile devices. Over recent months your application has increased in popularity; this has resulted in a decrease in the performance of the application clue to the increased load. Your application has a two-tier architecture that is composed of an Auto Scaling PHP application tier and a MySQL RDS instance initially deployed with AWS Cloud Formation. Your Auto Scaling group has a min value of 4 and a max value of 8. The desired capacity is now at 8 because of the high CPU utilization of the instances. After some analysis, you are confident that the performance issues stem from a constraint in CPU capacity, although memory utilization remains low. You therefore decide to move from the general-purpose M3 instances to the compute-optimized C3 instances. How would you deploy this change while minimizing any interruption to your end users?
- A. Update the launch configuration specified in the AWS CloudFormation template with the new C3 instance type. Also add an UpdatePolicy attribute to your Auto Scalinggroup that specifies AutoScalingRollingUpdate. Run a stack update with the new template.
- B. Update the launch configuration specified in the AWS CloudFormation template with the new C3 instance type. Run a stack update with the new template. Auto Scaling will then update the instances with the new instance type.
- C. Sign into the AWS Management Console, and update the existing launch configuration with the new C3 instance type. Add an UpdatePolicy attribute to your Auto Scaling group that specifies AutoScalingRollingUpdate.
- D. Sign into the AWS Management Console, copy the old launch configuration, and create a new launch configuration that specifies the C3 instances. Update the Auto Scalinggroup with the new launch configuration. Auto Scaling will then update the instance type of all running instances.
Answer: A
Explanation:
Explanation
The AWS::AutoScaling::AutoScalingGroup resource supports an UpdatePoIicy attribute. This is used to define how an Auto Scalinggroup resource is updated when an update to the Cloud Formation stack occurs. A common approach to updating an Auto Scaling group is to perform a rolling update, which is done by specifying the AutoScalingRollingUpdate policy. This retains the same Auto Scaling group and replaces old instances with new ones, according to the parameters specified. For more information on rolling updates, please visit the below link:
* https://aws.amazon.com/premiumsupport/knowledge-center/auto-scaling-group-rolling-updates/
NEW QUESTION 52
You work for a company that has multiple applications which are very different and built on different programming languages. How can you deploy applications as quickly as possible?
- A. Develop each app in a separate Docker container and deploy using Elastic Beanstalk V
- B. Develop each app in a separate Docker containers and deploy using CloudFormation
- C. Develop each app in one Docker container and deploy using ElasticBeanstalk
- D. Create a Lambda function deployment package consisting of code and any dependencies
Answer: A
Explanation:
Explanation
Elastic Beanstalk supports the deployment of web applications from Docker containers. With Docker containers, you can define your own runtime environment. You can choose your own platform, programming language, and any application dependencies (such as package managers or tools), that aren’t supported by other platforms. Docker containers are self-contained and include all the configuration information and software your web application requires to run.
Option A is an efficient way to use Docker. The entire idea of Docker is that you have a separate environment for various applications.
Option B is ideally used to running code and not packaging the applications and dependencies Option D is not ideal deploying Docker containers using Cloudformation For more information on Docker and Clastic Beanstalk, please visit the below URL:
http://docs.aws.a
mazon.com/elasticbeanstalk/latest/dg/create_deploy_docker.html
NEW QUESTION 53
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