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NEW QUESTION 36
A leading e-commerce company is in need of a storage solution that can be simultaneously accessed by 1000 Linux servers in multiple availability zones. The servers are hosted in EC2 instances that use a hierarchical directory structure via the NFSv4 protocol. The service should be able to handle the rapidly changing data at scale while still maintaining high performance. It should also be highly durable and highly available whenever the servers will pull data from it, with little need for management.
As the Solutions Architect, which of the following services is the most cost-effective choice that you should use to meet the above requirement?

A. Storage GatewayB. S3C. EBSD. EFS

Answer: D

Explanation:
Amazon Web Services (AWS) offers cloud storage services to support a wide range of storage workloads such as EFS, S3 and EBS. You have to understand when you should use Amazon EFS, Amazon S3 and Amazon Elastic Block Store (EBS) based on the specific workloads. In this scenario, the keywords are rapidly changing data and 1000 Linux servers.
Amazon EFS is a file storage service for use with Amazon EC2. Amazon EFS provides a file system interface, file system access semantics (such as strong consistency and file locking), and concurrently- accessible storage for up to thousands of Amazon EC2 instances. EFS provides the same level of high availability and high scalability like S3 however, this service is more suitable for scenarios where it is required to have a POSIX-compatible file system or if you are storing rapidly changing data.

Data that must be updated very frequently might be better served by storage solutions that take into account read and write latencies, such as Amazon EBS volumes, Amazon RDS, Amazon DynamoDB, Amazon EFS, or relational databases running on Amazon EC2.
Amazon EBS is a block-level storage service for use with Amazon EC2. Amazon EBS can deliver performance for workloads that require the lowest-latency access to data from a single EC2 instance.
Amazon S3 is an object storage service. Amazon S3 makes data available through an Internet API that can be accessed anywhere.
In this scenario, EFS is the best answer. As stated above, Amazon EFS provides a file system interface, file system access semantics (such as strong consistency and file locking), and concurrently-accessible storage for up to thousands of Amazon EC2 instances. EFS provides the performance, durability, high availability, and storage capacity needed by the 1000 Linux servers in the scenario.
S3 is incorrect because although this provides the same level of high availability and high scalability like EFS, this service is not suitable for storing data which are rapidly changing, just as mentioned in the above explanation. It is still more effective to use EFS as it offers strong consistency and file locking which the S3 service lacks.
EBS is incorrect because an EBS Volume cannot be shared by multiple instances.
Storage Gateway is incorrect because this is primarily used to extend the storage of your on-premises data center to your AWS Cloud.
References:
https://docs.aws.amazon.com/efs/latest/ug/how-it-works.html
https://aws.amazon.com/efs/features/
https://d1.awsstatic.com/whitepapers/AWS%20Storage%20Services%20Whitepaper-v9.pdf#page=9 Check out this Amazon EFS Cheat Sheet:
https://tutorialsdojo.com/amazon-efs/

 

NEW QUESTION 37
A company has an automobile sales website that stores its listings in a database on Amazon RDS When an automobile is sold the listing needs to be removed from the website and the data must be sent to multiple target systems.
Which design should a solutions architect recommend?

A. Subscribe to an RDS event notification and send an Amazon Simple Notification Service (Amazon SNS) topic fanned out to multiple Amazon Simple Queue Service (Amazon SQS) queues Use AWS Lambda functions to update the targetsB. Create an AWS Lambda function triggered when the database on Amazon RDS is updated to send the information to an Amazon Simple Queue Service (Amazon SQS> queue for the targets to consumeC. Subscribe to an RDS event notification and send an Amazon Simple Queue Service (Amazon SQS) queue fanned out to multiple Amazon Simple Notification Service (Amazon SNS) topics Use AWS Lambda functions to update the targetsD. Create an AWS Lambda function triggered when the database on Amazon RDS is updated to send the information to an Amazon Simple Queue Service (Amazon SQS) FIFO queue for the targets to consume

Answer: A

Explanation:
https://docs.aws.amazon.com/lambda/latest/dg/services-rds.html https://docs.aws.amazon.com/lambda/latest/dg/with-sns.html

 

NEW QUESTION 38
A company has an application that runs on Amazon EC2 instances and uses an Amazon Aurora database. The EC2 instances connect to the database by using user names and passwords that are stored locally in a file. The company wants to minimize the operational overhead of credential management.
What should a solutions architect do to accomplish this goal?

A. Create an encrypted Amazon Elastic Block Store (Amazon EBS) volume (or each EC2 instance. Attach the new EBS volume to each EC2 instance. Migrate the credential file to the new EBS volume. Point the application to the new EBS volume.B. Use AWS Systems Manager Parameter Store. Turn on automatic rotation.C. Create an Amazon S3 bucket lo store objects that are encrypted with an AWS Key Management Service (AWS KMS) encryption key. Migrate the credential file to the S3 bucket. Point the application to the S3 bucket.D. Use AWS Secrets Manager. Turn on automatic rotation.

Answer: B

 

NEW QUESTION 39
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