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NEW QUESTION 40
An application hosted in EC2 consumes messages from an SQS queue and is integrated with SNS to send out an email to you once the process is complete. The Operations team received 5 orders but after a few hours, they saw 20 email notifications in their inbox.
Which of the following could be the possible culprit for this issue?
Answer: A
Explanation:
Always remember that the messages in the SQS queue will continue to exist even after the EC2 instance has processed it, until you delete that message. You have to ensure that you delete the message after processing to prevent the message from being received and processed again once the visibility timeout expires.
There are three main parts in a distributed messaging system:
1. The components of your distributed system (EC2 instances)
2. Your queue (distributed on Amazon SQS servers)
3. Messages in the queue.
You can set up a system which has several components that send messages to the queue and receive messages from the queue. The queue redundantly stores the messages across multiple Amazon SQS servers.
Refer to the third step of the SQS Message Lifecycle:
Component 1 sends Message A to a queue, and the message is distributed across the Amazon SQS servers redundantly.
When Component 2 is ready to process a message, it consumes messages from the queue, and Message A is returned. While Message A is being processed, it remains in the queue and isn't returned to subsequent receive requests for the duration of the visibility timeout.
Component 2 deletes Message A from the queue to prevent the message from being received and processed again once the visibility timeout expires.
The option that says: The web application is set for long polling so the messages are being sent twice is incorrect because long polling helps reduce the cost of using SQS by eliminating the number of empty responses (when there are no messages available for a ReceiveMessage request) and false empty responses (when messages are available but aren't included in a response). Messages being sent twice in an SQS queue configured with long polling is quite unlikely.
The option that says: The web application is set to short polling so some messages are not being picked up is incorrect since you are receiving emails from SNS where messages are certainly being processed.
Following the scenario, messages not being picked up won't result into 20 messages being sent to your inbox.
The option that says: The web application does not have permission to consume messages in the SQS queue is incorrect because not having the correct permissions would have resulted in a different response. The scenario says that messages were properly processed but there were over 20 messages that were sent, hence, there is no problem with the accessing the queue. References:
https://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/sqs-message-lifecy cle.html
https://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/sqs-basic-architect ure.html Check out this Amazon SQS Cheat Sheet:
https://tutorialsdojo.com/amazon-sqs/
NEW QUESTION 41
A company has stored 200 TB of backup files in Amazon S3. The files are in a vendor-proprietary format. The Solutions Architect needs to use the vendor's proprietary file conversion software to retrieve the files from their Amazon S3 bucket, transform the files to an industry-standard format, and re-upload the files back to Amazon S3. The solution must minimize the data transfer costs.
Which of the following options can satisfy the given requirement?
Answer: C
Explanation:
Amazon S3 is object storage built to store and retrieve any amount of data from anywhere on the Internet. It's a simple storage service that offers industry-leading durability, availability, performance, security, and virtually unlimited scalability at very low costs. Amazon S3 is also designed to be highly flexible. Store any type and amount of data that you want; read the same piece of data a million times or only for emergency disaster recovery; build a simple FTP application or a sophisticated web application.
You pay for all bandwidth into and out of Amazon S3, except for the following:
- Data transferred in from the Internet.
- Data transferred out to an Amazon EC2 instance, when the instance is in the same AWS Region as the S3 bucket (including to a different account in the same AWS region).
- Data transferred out to Amazon CloudFront.
To minimize the data transfer charges, you need to deploy the EC2 instance in the same Region as Amazon S3. Take note that there is no data transfer cost between S3 and EC2 in the same AWS Region.
Install the conversion software on the instance to perform data transformation and re-upload the data to Amazon S3.
Hence, the correct answer is: Deploy the EC2 instance in the same Region as Amazon S3. Install the file conversion software on the instance. Perform data transformation and re-upload it to Amazon S3.
The option that says: Install the file conversion software in Amazon S3. Use S3 Batch Operations to perform data transformation is incorrect because it is not possible to install the software in Amazon S3.
The S3 Batch Operations just runs multiple S3 operations in a single request. It can't be integrated with your conversion software.
The option that says: Export the data using AWS Snowball Edge device. Install the file conversion software on the device. Transform the data and re-upload it to Amazon S3 is incorrect. Although this is possible, it is not mentioned in the scenario that the company has an on-premises data center. Thus, there's no need for Snowball.
The option that says: Deploy the EC2 instance in a different Region. Install the file conversion software on the instance. Perform data transformation and re-upload it to Amazon S3 is incorrect because this approach wouldn't minimize the data transfer costs. You should deploy the instance in the same Region as Amazon S3.
References:
https://aws.amazon.com/s3/pricing/
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AmazonS3.html
Check out this Amazon S3 Cheat Sheet:
https://tutorialsdojo.com/amazon-s3/
NEW QUESTION 42
An automotive company is working on an autonomous vehicle development and deployment project using AWS. The solution requires High Performance Computing (HPC) in order to collect, store and manage massive amounts of data as well as to support deep learning frameworks. The Linux EC2 instances that will be used should have a lower latency and higher throughput than the TCP transport traditionally used in cloud-based HPC systems. It should also enhance the performance of inter-instance communication and must include an OS-bypass functionality to allow the HPC to communicate directly with the network interface hardware to provide low-latency, reliable transport functionality.
Which of the following is the MOST suitable solution that you should implement to achieve the above requirements?
Answer: B
Explanation:
An Elastic Fabric Adapter (EFA) is a network device that you can attach to your Amazon EC2 instance to accelerate High Performance Computing (HPC) and machine learning applications. EFA enables you to achieve the application performance of an on-premises HPC cluster, with the scalability, flexibility, and elasticity provided by the AWS Cloud.
EFA provides lower and more consistent latency and higher throughput than the TCP transport traditionally used in cloud-based HPC systems. It enhances the performance of inter-instance communication that is critical for scaling HPC and machine learning applications. It is optimized to work on the existing AWS network infrastructure and it can scale depending on application requirements. EFA integrates with Libfabric 1.9.0 and it supports Open MPI 4.0.2 and Intel MPI 2019 Update 6 for HPC applications, and Nvidia Collective Communications Library (NCCL) for machine learning applications.
The OS-bypass capabilities of EFAs are not supported on Windows instances. If you attach an EFA to a Windows instance, the instance functions as an Elastic Network Adapter, without the added EFA capabilities.
Elastic Network Adapters (ENAs) provide traditional IP networking features that are required to support VPC networking. EFAs provide all of the same traditional IP networking features as ENAs, and they also support OS-bypass capabilities. OS-bypass enables HPC and machine learning applications to bypass the operating system kernel and to communicate directly with the EFA device.
Hence, the correct answer is to attach an Elastic Fabric Adapter (EFA) on each Amazon EC2 instance to accelerate High Performance Computing (HPC).
Attaching an Elastic Network Adapter (ENA) on each Amazon EC2 instance to accelerate High Performance Computing (HPC) is incorrect because Elastic Network Adapter (ENA) doesn't have OS- bypass capabilities, unlike EFA.
Attaching an Elastic Network Interface (ENI) on each Amazon EC2 instance to accelerate High Performance Computing (HPC) is incorrect because an Elastic Network Interface (ENI) is simply a logical networking component in a VPC that represents a virtual network card. It doesn't have OS-bypass capabilities that allow the HPC to communicate directly with the network interface hardware to provide low-latency, reliable transport functionality.
Attaching a Private Virtual Interface (VIF) on each Amazon EC2 instance to accelerate High Performance Computing (HPC) is incorrect because Private Virtual Interface just allows you to connect to your VPC resources on your private IP address or endpoint. References:
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/efa.html
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/enhanced-networking-ena Check out this Elastic Fabric Adapter (EFA) Cheat Sheet: https://tutorialsdojo.com/elastic-fabric-adapter-efa/
NEW QUESTION 43
A company needs to integrate the Lightweight Directory Access Protocol (LDAP) directory service from the on-premises data center to the AWS VPC using IAM. The identity store which is currently being used is not compatible with SAML.
Which of the following provides the most valid approach to implement the integration?
Answer: D
Explanation:
If your identity store is not compatible with SAML 2.0 then you can build a custom identity broker application to perform a similar function. The broker application authenticates users, requests temporary credentials for users from AWS, and then provides them to the user to access AWS resources.
The application verifies that employees are signed into the existing corporate network's identity and authentication system, which might use LDAP, Active Directory, or another system. The identity broker application then obtains temporary security credentials for the employees.
To get temporary security credentials, the identity broker application calls either AssumeRole or GetFederationToken to obtain temporary security credentials, depending on how you want to manage the policies for users and when the temporary credentials should expire. The call returns temporary security credentials consisting of an AWS access key ID, a secret access key, and a session token. The identity broker application makes these temporary security credentials available to the internal company application. The app can then use the temporary credentials to make calls to AWS directly. The app caches the credentials until they expire, and then requests a new set of temporary credentials.
Using an IAM policy that references the LDAP identifiers and AWS credentials is incorrect because using an IAM policy is not enough to integrate your LDAP service to IAM. You need to use SAML, STS, or a custom identity broker.
Using AWS Single Sign-On (SSO) service to enable single sign-on between AWS and your LDAP is incorrect because the scenario did not require SSO and in addition, the identity store that you are using is not SAML-compatible.
Using IAM roles to rotate the IAM credentials whenever LDAP credentials are updated is incorrect because manually rotating the IAM credentials is not an optimal solution to integrate your on-premises and VPC network. You need to use SAML, STS, or a custom identity broker. References:
https://docs.aws.amazon.com/IAM/latest/UserGuide/id_roles_common-scenarios_federated-users.html
https://aws.amazon.com/blogs/aws/aws-identity-and-access-management-now-with-identity-federation/ Tutorials Dojo's AWS Certified Solutions Architect Associate Exam Study Guide:
https://tutorialsdojo.com/aws-certified-solutions-architect-associate/
NEW QUESTION 44
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