SAS Predictive Modeling Using SAS Enterprise Miner 14 (A00-255) Certiification Guide

SAS Predictive Modeling Using SAS Enterprise Miner 14

A00-255 PDF

What is SAS Predictive Modeling Using SAS Enterprise Enterprise Miner Miner 14 Certification? Certification? SAS SA S Pr Pred edic icti tive ve Mo Mode deli ling ng Us Usin ing g SA SAS S En Ente terp rpri rise se Mi Mine nerr 14 cert certif ific icat atio ion n ques questi tion ons s and and exam exam summary helps you to get focused on exam. This guide also helps you to be on A00 A00-25 -255 5 exa exam m

track to get certified with good score in final exam. It is esse essent ntia iall that that the the cand candid idat ate e have have a firm firm unde unders rsta tand ndin ing g and and mast master ery y of the the func functi tion onal alit itie ies s for for pred predic icti tive ve mode modeliling ng avai availa labl ble e in SAS SAS Ente Enterp rpri rise se Mine Miner. r. Succ Succes essf sful ul cand candid idat ates es shou should ld have have the the ability to ● ● ● ●

Prepare data Buil Build d pred predic icti tive ve mod model els s Asse Assess ss and and imp imple leme ment nt mode models ls Perf Perfor orm m patt patter ern n anal analys ysis is

A00-255 - SAS Predictive Modeling Using SAS Enterprise Miner 14 Certification Summary Exam Name


Exam Code

A00-255

Exam Duration

165 minutes

Exam Questions

55-60

Passing Score

725/1000

Exam Price

$250 (USD)

Training

Applied Analytics Using SAS Enterprise Miner

Books

Pred Pr edic icti tive ve Mo Mode deliling ng wi with th SA SAS S En Ente terp rpri rise se Mi Mine ner: r: Pr Prac acti tica call So Solu luti tion ons s fo for r Business Applications, Second Edition

Exam Registration

Pearson VUE

Sample Questions

SAS Predictive Modeler Certification Sample Question

Practice Exam

SAS Predictive Modeler Certification Practice Exam

SAS SAS Pred Predic icti tive ve Mode Modeliling ng Usin Using g SAS SAS Ente Enterp rpri rise se Miner Miner 14 - A00A00-25 255 5

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A00-255 PDF

A00-255 SAS Predictive Modeling Using SAS Enterprise Miner 14 Certification Questions: Q 1: 1. Create a project named Insurance, with a diagram named Explore. 2. Cre Create the the data sourc urce, DEVELOP LOP, in SAS Enterp terpri ris se Mine Minerr. DEVELOP LOP is in the the directory c:\workshop\Practice. 3. Set the the role role of all varia riable bles to Input nput,, with the the excepti ption of the the Targe rget variab iable, le, Ins (1= has insurance, 0= does not have insurance). 4. Set the measurement level for the Target variable, Ins, to Binary. 5. Ensu Ensure re that that Bran Branch ch and and Res Res are are the the only only vari variab able les s with with the the meas measur urem emen entt leve levell of Nominal. 6. All other variables should be set to Interval or Binary. 7. Make sure that the default sampling method is random and that the seed is 12345. The variable Branch has how many levels? Options:

A: 19 B: 47 C: 12 D: 8 Q 2:

Open pen the the diag iagram ram lab labeled led Practi ctice A withi thin the the proj proje ect label beled Practic tice A. Perfo rform the the following in SAS Enterprise Miner: 1. Set the Clustering method to Average. 2. Run the Cluster node. What is the Cubic Clustering Criterion statistic for this clustering? Options:

A: 5.00 B: 5862.76 C: 67409.93 D: 14.69 Q 3:


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1. Set the Clustering method to Average. 2. Run the Cluster node. What is the Importance statistic for MTG Bal (Mortgage Balance)? Options:

A: 0.32959 B: 0.42541 C: 1.000000 D: 0.42667 Q 4: 1. Create a project named Insurance, with a diagram named Explore. 2. Cre Create the the data sourc urce, DEVELOP LOP, in SAS Enterp terpri ris se Mine Minerr. DEVELOP LOP is in the the directory c:\workshop\Practice. 3. Set the the role role of all varia riable bles to Input nput,, with the the excepti ption of the the Targe rget variab iable, le, Ins (1= has insurance, 0= does not have insurance). 4. Set the measurement level for the Target variable, Ins, to Binary. 5. Ensu Ensure re that that Bran Branch ch and and Res Res are are the the only only vari variab able les s with with the the meas measur urem emen entt leve levell of Nominal. 6. All other variables should be set to Interval or Binary. 7. Make sure that the default sampling method is random and that the seed is 12345. What is the mean credit card balance (CCBal) of the customers with a variable annuity? Options:

A: $0.00 B: $8,711.65 C: $11,142.45 D: $9,586.55 Q 5: Whic Which h of the the foll follow owin ing g is not not a good good reas reason on to”r to”reg egul ular ariz ize” e” inpu inputt dist distri ribu buti tion ons s usin using g a simple transformation? Options:

A: Regression models are sensitive sensitive to extreme or outlying values values in the input space. B: Another benefit is ease in model interpretation. C: One benefit is improved model performance. D: When When you you perf perfor orm m regr regres essi sion on,, inpu inputs ts with with high highly ly skew skewed ed or high highly ly kurt kurtot otic ic dist distri ribu buti tion ons s can be selected over inputs that would yield better overall predictions. Q 6: Which of the following is not true about results produced by the Regression node?


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Options:

A: Fit Statistics can provide information that affects decision predictions, but does not affect estimate predictions. B: Type 3 Analysis of Effects provides you with information about the number of parameters that each input contributes to the model. C: Model Information provides you with information that includes the number of target categories and the number of model parameters. D: Vari Variab able le Summ Summar ary y info inform rmat atio ion n iden identi tifi fies es the the role roles s of vari variab able les s used used by the the Regr Regres essi sion on node. Q 7: Which of the following sequential selection methods do you use so that SAS Enterprise Miner will look at all variables already included in the model and delete any variable that is not significant at the specified level? Options:

A: Backward B: Forward C: Stepwise D: None Q 8: Which of the following solves problems for you when you impute missing values? Options:

A: When you impute a synthetic synthetic value, it replaces missing missing values with 1 or 0. B: When you impute a synthetic value, it eliminates the incomplete case problem. C: When you impute a synthetic value, predictive information is retained. D: When you impute a synthetic value, each missing value becomes an input to the model.

Answers: Question: 1 Question: 3 Question: 5 Question: 7

Answer: A Answer: D Answer: B Answer: D

Question: 2 Question: 4 Question: 6 Question: 8


Answer: D Answer: C Answer: A Answer: B

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A00-255 PDF

SAS Predictive Modeling Using SAS Enterprise Miner 14 Certification A00-255 Exam Syllabus: Objective

Details

Data Sources - (20-25%)

- Create data sources from SAS tables in Enterprise Miner - Explore and assess data sources - Modify source data - Prepare data to be submitted to a predictive model

Buil Buildi ding ng Pred Predic icttive ive Model odels s - (35(35-40 40% %)

- Descr escrib ibe e key pred predic icttive ive model odelin ing g terms erms and and concepts - Build predictive models using decision de cision trees - Build predictive models using regression - Build predictive models using neural ne ural networks

Predictive Model Assessment Implementation - (25-30%)

and - Use the the corr correc ectt fit stat statis isti tic c for diff differ eren entt pred predic icti tion on types - Use decision processing to oversampling (separate sampling)

adjust

for

- Use profit/loss information to assess model performance - Comp Compar are e mode models ls with with the the MODE MODEL L COMP COMPAR ARIS ISON ON node - Score data sets within Enterprise Miner


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Patt Patter ern n Anal Analys ysis is - (10(10-15 15%) %)

A00-255 PDF

- Iden Identi tify fy clus cluste ters rs of simi similar lar data data with with the the CLUS CLUSTE TER R and SEGMENT PROFILE nodes - Perform association and sequence analysis (market basket analysis)

How to Register for SAS Predictive Modeling Using SAS Enterprise Miner 14 Certification Exam? Exam Registration ●

Atte Attent ntio ion n first first-t -tim ime e user users: s: ○

First-time users must create a new web account within Pe Pear arso son n VU VUE E before registering for a SAS exam.

○

It can take up to two business days to receive your user name and password, which you will need for exam registration.

●

Atte Attent ntio ion n retu return rnin ing g user users: s: ○

If you already have a Pearson VUE account but have forgotten your sign-in information, follow the links on the Pearson VUE site to retrieve this information.

●

Additional Information:

○

Exam registration registrations s must must be complet completed ed at least least 24 24 hours hours in advance advance and cannot cannot be completed at the test facility.


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SAS Predictive Modeling Using SAS Enterprise Miner 14 (A00-255) Certiification Guide

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