You are deploying an application to track GPS coordinates of delivery trucks in the United States. Coordinates are transmitted from each delivery truck once every three seconds. You need to design an architecture that will enable real-time processing of these coordinates from multiple consumers.

Which service should you use to implement data ingestion?

You are deploying an application to collect votes for a very popular television show. Millions of users will submit votes using mobile devices. The votes must be collected into a durable, scalable, and highly available data store for real-time public tabulation.

Which service should you use?

Your company is in the process of developing a next generation pet collar that collects biometric information to assist families with promoting healthy lifestyles for their pets. Each collar will push 30kb of biometric data In JSON format every 2 seconds to a collection platform that will process and analyze the data providing health trending information back to the pet owners and veterinarians via a web portal.

Management has tasked you to architect the collection platform ensuring the following requirements are met:

1.) Allow for real-time analytics of the inbound biometric data

2.) Processing of the biometric data is durable, elastic and parallel.

3.) Results of the analytic processing should be persisted for data mining.

Which architecture outlined below will meet the initial requirements for the collection platform?

Your customer is willing to consolidate their log streams (access logs, application logs, security logs etc.) into one single system. Once consolidated, the customer wants to analyze these logs in real time based on heuristics. From time to time, the customer needs to validate heuristics, which requires going back to data samples extracted from the last 12 hours.

What is the best approach to meet your customer’s requirements?

You require the ability to analyze a customer’s clickstream data on a website so they can do behavioral analysis. Your customer needs to know what sequence of pages and ads their customer clicked on. This data will be used in real time to modify the page layouts as customers click through the site to increase stickiness and advertising click-through.

Which option meets the requirements for captioning and analyzing this data?

Your social media monitoring application uses a Python app running on AWS Elastic Beanstalk to inject tweets, Facebook updates and RSS feeds into an Amazon Kinesis stream. A second AWS Elastic Beanstalk app generates key performance indicators into an Amazon DynamoDB table and powers a dashboard application.

What is the most efficient option to prevent any data loss for this application?

You need to replicate API calls across two systems in real time.

What tool should you use as a buffer and transport mechanism for API call events?

You need to perform ad-hoc business analytics queries on well-structured data. Data comes in constantly at a high velocity. Your business intelligence team can understand SQL.

What AWS service(s) should you look to first?

A stock market monitoring application uses Amazon Kinesis for data ingestion. During simulated tests of peak data rates, the Kinesis stream cannot keep up with the incoming data.

What step will allow Kinesis to accommodate the traffic during peak hours?

You want to keep track of who is responsible for each of your data streams, so you decide to tag them by owner.

Which of these tag key/value pairs are allowed?

Your company has resources in the cloud with AWS and in a data center, connected via AWS Direct Connect. You have applications in both locations that generate logs as messages. You wish to capture them and process them inside your AWS environment.

How can you maximize effort and maintain security?

A web application emits multiple types of events to Amazon Kinesis Streams for operational reporting. Critical events must be captured immediately before processing can continue, but informational events do not need to delay processing.

What is the most appropriate solution to record these different types of events?

A mobile application collects data that must be stored in multiple Availability Zones within five minutes of being captured in the app.

What architecture securely meets these requirements?

An application is running on an Amazon EC2 instance in a private subnet. The application needs to read and write data on to Amazon Kinesis Data Streams, and corporate policy requires that this traffic should not go to the internet.

How can these requirements be met?

A Solutions Architect is designing a microservice to process records from Amazon Kinesis Streams. The metadata must be stored in Amazon DynamoDB. The microservice must be capable of concurrently processing 10000 records daily as they arrive in the Kinesis Stream.

The MOST scalable way to design the microservice is: