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NEW QUESTION 34
Which command will start an assessment run?
- A. aws inspector start-assessment-run --assessment-run-name examplerun
- B. aws inspector start-assessment-run --assessment-template-arn<template-arn>
- C. aws inspector start-assessment-run --assessment-run-name examplerun --assessment-target<target-arn>
- D. aws inspector start-assessment-run --assessment-run-name examplerun --assessment-duration<duration- in-seconds>
Answer: B
Explanation:
start-assessment-run command requires --assessment-template-arn, other parameters are optional start-assessment-run
--assessment-template-arn <value>
[--assessment-run-name <value>]
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]
Reference:
http://docs.aws.amazon.com/cli/latest/reference/inspector/start-assessment-run.html
NEW QUESTION 35
A large enterprise is deploying a web application on AWS. The application runs on Amazon EC2 instances behind an Application Load Balancer. The instances run in an Auto Scaling group across multiple Availability Zones. The application stores data in an Amazon RDS Oracle DB instance and Amazon DynamoDB. There are separate environments for development, testing, and production. What is the MOST secure and flexible way to obtain password credentials during deployment?
- A. Launch the EC2 instances with an EC2 IAM role to access AWS services. Retrieve the database credentials from AWS Secrets Manager.
- B. Retrieve an access key from an AWS Systems Manager SecureString parameter to access AWS services. Retrieve the database credentials from a Systems Manager SecureString parameter.
- C. Retrieve an access key from an AWS Systems Manager plaintext parameter to access AWS services.
Retrieve the database credentials from a Systems Manager SecureString parameter. - D. Launch the EC2 instances with an EC2 IAM role to access AWS services. Store the database passwords in an encrypted config file with the application artifacts.
Answer: D
NEW QUESTION 36
A DevOps team needs to query information in application logs that are generated by an application running multiple Amazon EC2 instances deployed with AWS Elastic Beanstalk.
Instance log streaming to Amazon CloudWatch Logs was enabled on Elastic Beanstalk.
Which approach would be the MOST cost-efficient?
- A. Use a CloudWatch Logs subscription to trigger an AWS Lambda function to send the log data to an Amazon Kinesis Data Firehouse stream that has an Amazon S3 bucket destination. Use Amazon Athena to query the log data from the bucket.
- B. Use a CloudWatch Logs subscription to send the log data to an Amazon Kinesis Data Firehouse stream that has an Amazon S3 bucket destination. Use a new Amazon Redshift cluster and Amazon Redshift Spectrum to query the log data from the bucket.
- C. Use a CloudWatch Logs subscription to send the log data to an Amazon Kinesis Data Firehouse stream that has an Amazon S3 bucket destination. Use Amazon Athena to query the log data from the bucket.
- D. Use a CloudWatch Logs subscription to trigger an AWS Lambda function to send the log data to an Amazon Kinesis Data Firehouse stream that has an Amazon S3 bucket destination. Use a new Amazon Redshift cluster and Amazon Redshift Spectrum to query the log data from the bucket.
Answer: C
Explanation:
Explanation
https://docs.aws.amazon.com/AmazonCloudWatch/latest/logs/Subscriptions.html
NEW QUESTION 37
An IT team has built an AWS CloudFormation template so others in the company can quickly and reliably deploy and terminate an application. The template creates an Amazon EC2 instance with a user data script to install the application and an Amazon S3 bucket that the application uses to serve static webpages while it is running.
All resources should be removed when the CloudFormation stack is deleted. However, the team observes that CloudFormation reports an error during stack deletion, and the S3 bucket created by the stack is not deleted.
How can the team resolve the error in the MOST efficient manner to ensure that all resources are deleted without errors?
- A. Add a custom resource when an AWS Lambda function with the DependsOn attribute specifying the S3 bucket, and an IAM role. Writhe the Lambda function to delete all objects from the bucket when the is Delete.
RequestType - B. Replace the EC2 and S3 bucket resources with a single AWS OpsWorks Stacks resource. Define a custom recipe for the stack to create and delete the EC2 instance and the S3 bucket.
- C. Add DeletionPolicy attribute to the S3 bucket resource, with the value Delete forcing the bucket to be removed when the stack is deleted.
- D. Identify the resource that was not deleted. From the S3 console, empty the S3 bucket and then delete it.
Answer: A
Explanation:
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-attribute- dependson.html
NEW QUESTION 38
You have an Autoscaling Group which is launching a set of t2.small instances. You now need to replace those instances with a larger instance type. How would you go about making this change in an ideal manner?
- A. Changethe Instance type of the Underlying EC2 instance directly.
- B. Createanother Autoscaling Group and attach the new instance type.
- C. Changethe Instance type in the current launch configuration to the new instance type.
- D. Createa new launch configuration with the new instance type and update yourAutoscaling Group.
Answer: D
Explanation:
Explanation
Answer - C
The AWS Documentation mentions
A launch configuration is a template that an Auto Scaling group uses to launch EC2 instances. When you create a launch configuration, you specify information for the instances such as the ID of the Amazon Machine Image (AMI), the instance type, a key pair, one or more security groups, and a block device mapping. If you've launched an EC2 instance before, you specified the same information in order to launch the instance.
When you create an Auto Scalinggroup, you must specify a launch configuration. You can specify your launch configuration with multiple Auto Scaling groups.
However, you can only specify one launch configuration for an Auto Scalinggroup at a time, and you can't modify a launch configuration after you've created it.
Therefore, if you want to change the launch configuration for your Auto Scalinggroup, you must create a launch configuration and then update your Auto Scaling group with the new launch configuration.
For more information on launch configurations please see the below link:
* http://docs.aws.amazon.com/autoscaling/latest/userguide/l_aunchConfiguration.html
NEW QUESTION 39
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