A company hosts more than 300 global websites and applications. The company requires a platform to analyze more than 30 TB of clickstream data each day.
What should a solutions architect do to transmit and process the clickstream data?
A startup company is using me AWS Cloud to develop a traffic control monitoring system for a large city The system must be highly available and must provide near-real-time results for residents and city officials even during peak events
Gigabytes of data will come in daily from loT devices that run at intersections and freeway ramps across the city The system must process the data sequentially to provide the correct timeline However results need to show only what has happened in the last 24 hours.
Which solution will meet these requirements MOST cost-effectively?
A disaster relief company is designing a new solution to analyze real-time csv data. The data is collected by a network of thousands of research stations met are distributed across the world. The data volume is consistent and constant, and the size of each data We is 512 KB. The company needs to stream the data and analyze the data in real time.
Which combination of actions should a solutions architect take to meet these requirements? (Select TWO.)
A solutions architect is creating an application that will handle batch processing of large amounts of data The input data will be held in Amazon S3 and the output data will be stored in a different S3 bucket For processing, the application will transfer the data over the network between multiple Amazon EC2 instances
What should the solutions architect do to reduce the overall data transfer costs?
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