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OMIS 482 Exam 3 questions well answered

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OMIS 482 Exam 3 questions well answered

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  • October 1, 2024
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  • 2024/2025
  • Exam (elaborations)
  • Questions & answers
  • OMIS
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BravelRadon
OMIS 482 Exam 3

EM High-Performance Data Miing nodes use SAS High-Performance Analytics procedures which - correct
answer ✔✔are written using threaded kernel extensions

are designed to run to a distributed environment

multi-threaded, to take advantage of multiple cores in a single machine mode

use algorithm choices that consider data movement and replication

use in-memory analytics to minimize data movement and substantially reduce required computing time,
especially for algorithms that require multiple passes of the data.



High-Performance Data Mining nodes are... - correct answer ✔✔not meant to be a replacement to their
traditional counterpart nodes.



The functionality of High-Performance Data Mining nodes will - correct answer ✔✔grow over time



SAS solution to the performance challenge are - correct answer ✔✔single-machine mode

distributed mode



single-machine mode - correct answer ✔✔multiple cores on a single computer



also called symmetric multiprocessing or SMP mode



distributed mode - correct answer ✔✔many architectures and configurations to take advantage of
massively parallel processing



MPP



High Performance Data Mining Nodes - correct answer ✔✔HP Cluster

HP Data Partition

, HP Explore

HP Forest

HP GLM

HP Impute

HP Neural

HP Principal Components

HP Regression

HP SVM

HP Text Miner

HP Transform

HP Tree

HP Variable Selection



HP Data Partition - correct answer ✔✔Two-way partitioning of data is supported: training and Validation



The user can specify a sample method (Simple random sample or stratified random sample)

the proportion of a sample for each data set

no output type option is included



HP Explore - correct answer ✔✔most closely aligned with the Stat Explore node



options in the traditional StatExplore node;s train properties not included in the HP Explore Node are the
following:

data

standard reports

variable selection

chi-squared statistics

correlation statistics

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