You are consulting for a state agency focused on the state lottery. You have been given a task to have 2 million bar codes created as quickly as possible. This will require EC2 instances and an average CPU utilization of 70% for each of them. So you plan to spin up 10 EC2 instances to create the bar codes. You estimate the instances will complete the job from around 11 p.m. to 1 a.m. You don’t want the instances sitting idle for up to 9 hours until the next morning. What can you do to terminate these instances when they are done?

You work for a Defense contracting company. The company develops software applications which perform intensive calculations in the area of Mechanical Engineering related to metals for ship building. The company competes for and wins contracts that typically range from 1 year to up to 5 years. These long-term contracts mean that the duration of your need for EC2 instances can be matched to the length of these contracts, and then extended if necessary. The main requirement is consistent performance for the duration of the contract. Which EC2 purchasing option provides the best value, given these long-term contracts?

The CFO of your company approaches you and inquires about cutting costs in your AWS account. One area you are able to identify for cost cutting is in S3. There is data in S3 that is very rarely used and has only been retained for audit purposes. You decide to archive this data to a cheaper storage solution. Which AWS solution would meet this requirement?

You work for a security company that manufactures doorbells with cameras built in. They are designing an application so that when people ring the doorbell, the camera will activate and stream video from the doorbell to the user's mobile device. You need to implement an AWS service to handle the streaming of potentially millions of devices, which you will then run analytics and other processing on the streams. Which AWS service would best suit this?

Your company has asked you to look into some latency issues with the company web app. The application is backed by an AWS RDS database. Your analysis has determined that the requests made of the application are very read heavy, and this is where improvements can be made. Which service can you use to store frequently accessed data in-memory?

A team member has been tasked to configure four EC2 instances for four separate applications. These are not high-traffic apps, so there is no need for an Auto Scaling group. The instances are all in the same public subnet and each instance has an EIP address, and all of the instances have the same security group. But none of the instances can send or receive internet traffic. You verify that all the instances have a public IP address. You also verify that an internet gateway has been configured. What is the most likely issue?

Bill is a cloud solutions architect for a small technology startup company. The company started out completely on-premises, but Bill has finally convinced them to explore shifting their application to AWS. The application is fairly complex and leverages message brokers that communicate using AMQP 1.0 protocols to exchange data between nodes and complete workloads.

Which service should Bill use to design the new AWS cloud-based architecture?

A pharmaceutical company has begun to explore using AWS cloud services for their computation workloads for processing incoming orders. Currently, they process orders on-premises using self-managed virtual machines with batch software installed. The current infrastructure design does not scale well and is cumbersome to update. In addition, each processed batch job takes roughly 30-45 minutes to complete. The processing times cannot be reduced due to the complexity of the application code, and they want to make the new solution as hands-off as possible with automatic scaling based on the number of queued orders.

Which AWS service would you recommend they use for this application design that best meets their needs and is cost optimized?

Your boss has tasked you with decoupling your existing web frontend from the backend. Both applications run on EC2 instances. After you investigate the existing architecture, you find that (on average) the backend resources are processing about 50,000 requests per second and will need something that supports their extreme level of message processing. It's also important that each request is processed only 1 time. What can you do to decouple these resources?

A company is running a teaching application which is consumed by users all over the world. The application is translated into 5 different languages. All of these language files need to be stored somewhere that is highly-durable and can be accessed frequently. As content is added to the site, the storage demands will grow by a factor of five, so the storage must be highly-scalable as well. Which storage option will be highly-durable, cost-effective, and highly-scalable?