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Question No 1

What does the Terasort phase of the Terasort benchmark do?

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It maps and reduces source data in a parallel manner, leveraging data locality to minimize network transfer.

It randomly maps source data and reduces output to a smaller data set,

It maps and reduces one terabyte of data into a smaller data set.

It randomly maps source data and increases output to a bigger data set.

Question No 2

You are comparing different processors for Monte - Carlo simula - tion with millions of single core executions. What frequency will have the highest impact on the "time to solution" ?

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Question No 3

You are running a cluster using multiple BM.Standard2.52 machines. The model is on a NFS share running on block volume - You've tried doubling the number of machines but It's not running any faster. Which two actions could potentially speed up this tightly coupled workload?

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Question No 4

Which Is a common business problem for customers running Big Data workloads?

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Costs associated to process a large scale data set

Cost associated with Disaster Recovery for large deployments

Ability to process a small data set at the minimum cost as possible

Ability to process a large data set at the maximum cost as possible

Question No 5

What minimum size of block volume with Balanced performance tier maximizes throughput for large files?

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