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NEW QUESTION # 26

A popular augmented reality (AR) mobile game is heavily using a RESTful API which is hosted in AWS. The API uses Amazon API Gateway and a DynamoDB table with a preconfigured read and write capacity. Based on your systems monitoring, the DynamoDB table begins to throttle requests during high peak loads which causes the slow performance of the game.

Which of the following can you do to improve the performance of your app?

  • A. Add the DynamoDB table to an Auto Scaling Group.
  • B. Integrate an Application Load Balancer with your DynamoDB table.
  • C. Use DynamoDB Auto Scaling
  • D. Create an SQS queue in front of the DynamoDB table.

Answer: C

Explanation:

DynamoDB auto scaling uses the AWS Application Auto Scaling service to dynamically adjust provisioned throughput capacity on your behalf, in response to actual traffic patterns. This enables a table or a global secondary index to increase its provisioned read and write capacity to handle sudden increases in traffic, without throttling. When the workload decreases, Application Auto Scaling decreases the throughput so that you don't pay for unused provisioned capacity.

Using DynamoDB Auto Scaling is the best answer. DynamoDB Auto Scaling uses the AWS Application Auto Scaling service to dynamically adjust provisioned throughput capacity on your behalf.

Integrating an Application Load Balancer with your DynamoDB table is incorrect because an Application Load Balancer is not suitable to be used with DynamoDB and in addition, this will not increase the throughput of your DynamoDB table.

Adding the DynamoDB table to an Auto Scaling Group is incorrect because you usually put EC2 instances on an Auto Scaling Group, and not a DynamoDB table.

Creating an SQS queue in front of the DynamoDB table is incorrect because this is not a design principle for high throughput DynamoDB table. Using SQS is for handling queuing and polling the request. This will not increase the throughput of DynamoDB which is required in this situation.

Reference:

https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/AutoScaling.html Check out this Amazon DynamoDB Cheat Sheet: https://tutorialsdojo.com/amazon-dynamodb/ Amazon DynamoDB Overview:

https://www.youtube.com/watch?v=3ZOyUNIeorU



NEW QUESTION # 27

A company has a three-tier web application that is deployed on AWS. The web servers are deployed in a public subnet in a VPC. The application servers and database servers are deployed in private subnets in the same VPC. The company has deployed a third-party virtual firewall appliance from AWS Marketplace in an inspection VPC. The appliance is configured with an IP interface that can accept IP packets.

A solutions architect needs to Integrate the web application with the appliance to inspect all traffic to the application before the traffic teaches the web server. Which solution will moot these requirements with the LEAST operational overhead?

  • A. Deploy a transit gateway m the inspection VPC Configure route tables to route the incoming pockets through the transit gateway
  • B. Deploy a Gateway Load Balancer in the inspection VPC Create a Gateway Load Balancer endpoint to receive the incoming packets and forward the packets to the appliance
  • C. Create a Network Load Balancer the public subnet of the application's VPC to route the traffic lo the appliance for packet inspection
  • D. Create an Application Load Balancer in the public subnet of the application's VPC to route the traffic to the appliance for packet inspection

Answer: B

Explanation:

Explanation

https://aws.amazon.com/blogs/networking-and-content-delivery/scaling-network-traffic-inspection-using-aws-ga



NEW QUESTION # 28

In Amazon EC2, you can manage your instances from the moment you launch them up to their termination. You can flexibly control your computing costs by changing the EC2 instance state.

Which of the following statements is true regarding EC2 billing? (Select TWO.)

  • A. You will be billed when your On-Demand instance is in pending state.
  • B. You will be billed when your Spot instance is preparing to stop with a stopping state.
  • C. You will not be billed for any instance usage while an instance is not in the running state.
  • D. You will be billed when your On-Demand instance is preparing to hibernate with a stopping state.
  • E. You will be billed when your Reserved instance is in terminated state.

Answer: D,E

Explanation:

By working with Amazon EC2 to manage your instances from the moment you launch them through their termination, you ensure that your customers have the best possible experience with the applications or sites that you host on your instances. The following illustration represents the transitions between instance states. Notice that you can't stop and start an instance store-backed instance:



Below are the valid EC2 lifecycle instance states:

pending - The instance is preparing to enter the running state. An instance enters the pending state when it launches for the first time, or when it is restarted after being in the stopped state.

running - The instance is running and ready for use.

stopping - The instance is preparing to be stopped. Take note that you will not billed if it is preparing to stop however, you will still be billed if it is just preparing to hibernate. stopped - The instance is shut down and cannot be used. The instance can be restarted at any time.

shutting-down - The instance is preparing to be terminated. terminated - The instance has been permanently deleted and cannot be restarted. Take note that Reserved Instances that applied to terminated instances are still billed until the end of their term according to their payment option.

The option that says: You will be billed when your On-Demand instance is preparing to hibernate with a stopping state is correct because when the instance state is stopping, you will not billed if it is preparing to stop however, you will still be billed if it is just preparing to hibernate.

The option that says: You will be billed when your Reserved instance is in terminated state is correct because Reserved Instances that applied to terminated instances are still billed until the end of their term according to their payment option. I actually raised a pull-request to Amazon team about the billing conditions for Reserved Instances, which has been approved and reflected on your official AWS Documentation: https://github.com/awsdocs/amazon-ec2-user-guide/pull/45 The option that says: You will be billed when your On-Demand instance is in pending state is incorrect because you will not be billed if your instance is in pending state.

The option that says: You will be billed when your Spot instance is preparing to stop with a stopping state is incorrect because you will not be billed if your instance is preparing to stop with a stopping state.

The option that says: You will not be billed for any instance usage while an instance is not in the running state is incorrect because the statement is not entirely true. You can still be billed if your instance is preparing to hibernate with a stopping state.

References:

https://github.com/awsdocs/amazon-ec2-user-guide/pull/45

http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-instance-lifecycle.html Check out this Amazon EC2 Cheat Sheet:

https://tutorialsdojo.com/amazon-elastic-compute-cloud-amazon-ec2/



NEW QUESTION # 29

A company is using a fleet of Amazon EC2 instances to ingest data from on-premises data sources. The data is in JSON format and Ingestion rates can be as high as 1 MB/s. When an EC2 instance is rebooted, the data in-flight is lost. The company's data science team wants to query Ingested data In near-real time.

Which solution provides near-real -time data querying that is scalable with minimal data loss?

  • A. Publish data to Amazon Kinesis Data Streams Use Kinesis data Analytics to query the data.
  • B. Store ingested data m an EC2 Instance store Publish data to Amazon Kinesis Data Firehose with Amazon S3 as the destination. Use Amazon Athena to query the data.
  • C. Store ingested data m an Amazon Elastic Block Store (Amazon EBS) volume Publish data to Amazon ElastiCache tor Red Subscribe to the Redis channel to query the data
  • D. Publish data to Amazon Kinesis Data Firehose with Amazon Redshift as the destination Use Amazon Redshift to query the data

Answer: D



NEW QUESTION # 30

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