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NEW QUESTION 40
A data analytics company wants to migrate its batch processing system to AWS. The company receives thousands of small data files periodically during the day through FTP. A on-premises batch job processes the data files overnight. However, the batch job takes hours to finish running.
The company wants the AWS solution to process incoming data files are possible with minimal changes to the FTP clients that send the files. The solution must delete the incoming data files the files have been processed successfully. Processing for each file needs to take 3-8 minutes.
Which solution will meet these requirements in the MOST operationally efficient way?

A. Use an Amazon EC2 instance that runs an FTP server to store incoming files as objects in Amazon S3 Glacier Flexible Retrieval. Configure a job queue in AWS Batch. Use Amazon EventBridge rules to invoke the job to process the objects nightly from S3 Glacier Flexible Retrieval. Delete the objects after the job has processed the objects.B. Use AWS Transfer Family to create an FTP server to store incoming files on an Amazon Elastic Block Store (Amazon EBS) volume. Configure a job queue in AWS Batch. Use an Amazon S3 event notification when each files arrives to invoke the job in AWS Batch. Delete the files after the job has processed the files.C. Use an Amazon EC2 instance that runs an FTP server to store incoming files on an Amazon Elastic Block Store (Amazon EBS) volume. Configure a job queue in AWS Batch. Use Amazon EventBridge rules to invoke the process the files nightly from the EBS volume. Delete the files after the job has processed the files.D. Use AWS Transfer Family to create an FTP server to store incoming files in Amazon S3 Standard. Create an AWS Lambda function to process the files and to delete the files after they are proessed.yse an S3 event notification to invoke the lambda function when the fils arrive

Answer: B

 

NEW QUESTION 41
A mobile application stores pictures in Amazon Simple Storage Service (S3) and allows application sign-in using an OpenID Connect-compatible identity provider.
Which AWS Security Token Service approach to temporary access should you use for this scenario?

A. Web Identity FederationB. Cross-Account AccessC. SAML-based Identity FederationD. AWS Identity and Access Management roles

Answer: A

Explanation:
With web identity federation, you don't need to create custom sign-in code or manage your own user identities. Instead, users of your app can sign in using a well-known identity provider (IdP) -such as Login with Amazon, Facebook, Google, or any other OpenID Connect (OIDC)-compatible IdP, receive an authentication token, and then exchange that token for temporary security credentials in AWS that map to an IAM role with permissions to use the resources in your AWS account. Using an IdP helps you keep your AWS account secure because you don't have to embed and distribute long-term security credentials with your application.
Explanation:
Reference:
http://docs.aws.amazon.com/IAM/latest/UserGuide/id_roles_providers_oidc.html Check out this AWS IAM Cheat Sheet:
https://tutorialsdojo.com/aws-identity-and-access-management-iam/

 

NEW QUESTION 42
A company has implemented a self-managed DNS solution on three Amazon EC2 instances behind a Network Load Balancer (NLB) in the us-west-2 Region. Most of the company's users are located in the United States and Europe. The company wants to improve the performance and availability of the solution. The company launches and configures three EC2 instances in the eu-west-1 Region and adds the EC2 instances as targets for a new NLB.
Which solution can the company use to route traffic to all the EC2 instances?

A. Create an Amazon Route 53 geolocation routing policy to route requests to one of the two NLBs. Create an Amazon CloudFront distribution. Use the Route 53 record as the distribution's origin.B. Create a standard accelerator in AWS Global Accelerator. Create endpoint groups in us-west-2 and eu-west-1. Add the two NLBs as endpoints for the endpoint groups.C. Replace the two NLBs with two Application Load Balancers (ALBs). Create an Amazon Route 53 latency routing policy to route requests to one of the two ALBs. Create an Amazon CloudFront distribution. Use the Route 53 record as the distribution's origin.D. Attach Elastic IP addresses to the six EC2 instances. Create an Amazon Route 53 geolocation routing policy to route requests to one of the six EC2 instances. Create an Amazon CloudFront distribution. Use the Route 53 record as the distribution's origin.

Answer: B

 

NEW QUESTION 43
A company has a fleet of running Spot EC2 instances behind an Application Load Balancer. The incoming traffic comes from various users across multiple AWS regions and you would like to have the user's session shared among the fleet of instances. You are required to set up a distributed session management layer that will provide a scalable and shared data storage for the user sessions.
Which of the following would be the best choice to meet the requirement while still providing sub- millisecond latency for the users?

A. Multi-master DynamoDBB. ElastiCache in-memory cachingC. Multi-AZ RDSD. ELB sticky sessions

Answer: B

Explanation:
For sub-millisecond latency caching, ElastiCache is the best choice. In order to address scalability and to provide a shared data storage for sessions that can be accessed from any individual web server, you can abstract the HTTP sessions from the web servers themselves. A common solution for this is to leverage an In-Memory Key/Value store such as Redis and Memcached.

ELB sticky sessions is incorrect because the scenario does not require you to route a user to the particular web server that is managing that individual user's session. Since the session state is shared among the instances, the use of the ELB sticky sessions feature is not recommended in this scenario.
Multi-master DynamoDB and Multi-AZ RDS are incorrect. Although you can use DynamoDB and RDS for storing session state, these two are not the best choices in terms of cost-effectiveness and performance when compared to ElastiCache. There is a significant difference in terms of latency if you used DynamoDB and RDS when you store the session data. References:
https://aws.amazon.com/caching/session-management/
https://d0.awsstatic.com/whitepapers/performance-at-scale-with-amazon-elasticache.pdf Check out this Amazon Elasticache Cheat Sheet:
https://tutorialsdojo.com/amazon-elasticache/
Redis (cluster mode enabled vs disabled) vs Memcached:
https://tutorialsdojo.com/redis-cluster-mode-enabled-vs-disabled-vs-memcached/

 

NEW QUESTION 44
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