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NEW QUESTION 31
A healthcare provider has a hybrid architecture that includes 120 on-premises VMware servers running RedHat and 50 Amazon EC2 instances running Amazon Linux. The company is in the middle of an all-in migration to AWS and wants to implement a solution for collecting information from the on-premises virtual machines and the EC2 instances for data analysis. The information includes:
- Operating system type and version
- Data for installed applications
- Network configuration information, such as MAC and IP addresses
- Amazon EC2 instance AMI ID and IAM profile
How can these requirements be met with the LEAST amount of administration?
- A. Use AWS Application Discovery Service for deploying Agentless Discovery Connector in the VMware environment and Discovery Agents on the EC2 instances for collecting the data. Then use the AWS Migration Hub Dashboard for analytics.
- B. Use a script on the on-premises virtual machines as well as the EC2 instances to gather and push the data into Amazon S3, and then use Amazon Athena for analytics.
- C. Write a shell script to run as a cron job on EC2 instances to collect and push the data to Amazon S3. For on-premises resources, use VMware vSphere to collect the data and write it into a file gateway for storing the data in S3. Finally, use Amazon Athena on the S3 bucket for analytics.
- D. Install AWS Systems Manager agents on both the on-premises virtual machines and the EC2 instances.
Enable inventory collection and configure resource data sync to an Amazon S3 bucket to analyze the data with Amazon Athena.
Answer: D
NEW QUESTION 32
Your development team wants account-level access to production instances in order to do live debugging of a highly secure environment.
Which of the following should you do?
- A. Place the credentials provided by Amazon Elastic Compute Cloud (EC2) into a secure Amazon Sample Storage Service (S3) bucket with encryption enabled.
Assign AWS Identity and Access Management (IAM) users to each developer so they can download the credentials file. - B. Place each developer's own public key into a private S3 bucket, use instance profiles and configuration management to create a user account for each developer on all instances, and place the user's public keys into the appropriate account.
- C. Place the credentials provided by Amazon EC2 onto an MFA encrypted USB drive, and physically share it with each developer so that the private key never leaves the office.
- D. Place an internally created private key into a secure S3 bucket with server-side encryption using customer keys and configuration management, create a service account on all the instances using this private key, and assign IAM users to each developer so they can download the file.
Answer: B
NEW QUESTION 33
You have written a server-side Node.Js application and a web application with an HTML/JavaScript front end that uses the Angular.js framework.
The server-side application connects to an Amazon Redshift cluster, issues queries, and then returns the results to the front end for display.
Your user base is very large and distributed, but it is important to keep the cost of running this application low.
Which deployment strategy is both technically valid and the most cost-effective?
- A. Upload the HTML, CSS, images, and JavaScript for the front end to an Amazon S3 bucket.
Use AWS Elastic Beanstalk to deploy the Node.js application.
Launch an Amazon Redshift cluster, and point your application to its JDBC endpoint. - B. Deploy an AWS OpsWorks stack with three layers: a static web server layer for your front end, a Node.js app server layer for your server-side application, and a Redshift DB layer for your Amazon Redshift duster.
- C. Deploy an AWS Elastic Beanstalk application with two environments: one for the Node.js application and another for the web front end.
Launch an Amazon Redshift cluster, and point your application to its Java Database Connectivity (JDBC) endpoint. - D. Upload the HTML, CSS, images, and JavaScript for the front end, plus the Node.js code for the server-side application, to an Amazon S3 bucket.
Create a CloudFront distribution with this bucket as its origin.
Launch an Amazon Redshift cluster, and point your application to its JDBC endpoint. - E. Upload the HTML, CSS, images, and JavaScript for the front end to an Amazon Simple Storage Service (S3) bucket.
Create an Amazon CloudFront distribution with this bucket as its origin. Use AWS Elastic Beanstalk to deploy the Node.js application.
Launch an Amazon Redshift cluster, and point your application to its JDBC endpoint.
Answer: E
NEW QUESTION 34
When building a multicontainer Docker platform using Elastic Beanstalk, which of the following is required
- A. DockerFile to create custom images during deployment
- B. Kurbernetes to manage the docker containers.
- C. Prebuilt Images stored in a public or private online image repository.
- D. RedHatOpensift to manage the docker containers.
Answer: C
Explanation:
Explanation
This is a special note given in the AWS Documentation for Multicontainer Docker platform for Elastic Beanstalk Building custom images during deployment with a Dockerfile is not supported by the multicontainer Docker platform on Elastic Beanstalk. Build your images and deploy them to an online repository before creating an Elastic Beanstalk environment.
For more information on Multicontainer Docker platform for Elastic Beanstalk, please refer to the below link:
* http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/create_deploy_docker_ecs.
* html
NEW QUESTION 35
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