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BAS-012 - IBM SPSS Modeler Data Analysis for Business Partners v2 - Dump Information

Vendor : IBM
Exam Code : BAS-012
Exam Name : IBM SPSS Modeler Data Analysis for Business Partners v2
Questions and Answers : 25 Q & A
Updated On : August 17, 2017
PDF Download Mirror : BAS-012 Brain Dump
Get Full Version : Officialcerts BAS-012 Full Version


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BAS-012 Questions and Answers

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QUESTION: 24

System undefined values ($null$) are automatically defined as blank (missing) values in IBM SPSS Modeler.


  1. True

  2. False


    Answer: B


    QUESTION: 25

    To correctly read the Excel file shown below, which dialog box settings are appropriate?


    ,.,. ......,

    ('1 rrw,. n fl''tOf• (Ofl)rWIT ........ f. ;."nnf'\\ ,.


    r,.,u.-.,


    l f'l..f"\.t .....

    "'" ,.,

    "" ),.,..,

    fl- -· IDJ<G

    nl l ... l n n..U.S.11!'•...,."-"''" ..,,..

    0: e: n;lMfatlJ.21r)'iJa'"" J!)3'A'J:

    "" .... 'n.ln•M U ,Iot.wmall.e Wo!MR

    -

    ::':JH I n.-n•U$4fllt.,:. 11UON

    :'71/111

    "'' !11 1 !\'2'0617 .M i wll..,e. 10'1q

    "" U fi)MC10U4 'l'lnCI.II'.: l'n.JC

    "no"r

    ....

    ""'

    U n3MC 10414 fiJM:t,II'C j JC:<G

    ' ' ' "..,.,.fl l;fl....t1 StlttOt't "'

    11 MI"'UO.l• tl"'rtt.lnc 172100


    "


    1. Option A

    2. Option B

    3. Option C

    4. Option D


Answer: D



IBM BAS-012 Exam (IBM SPSS Modeler Data Analysis for Business Partners v2) Detailed Information

C2090-012 Test Information / Examination Information


Number of questions : 25
Time allowed in minutes: 60
Required passing score : 68%
Languages : English


C2090-012 Objectives


Test C2090-012: IBM SPSS Modeler Data Analysis for Business Partners v2

Tab navigation

  • Overview- selected tab,
  • Objectives
  • Test preparation
  • Sample / Assessment Test
  • Business Understanding (5%)

    1. Review the CRISP methodology

    General Operations in Modeler (20%)

    1. Build streams
    2. Run streams
    3. Read different types of files into Modeler

    Data Understanding (30%)

    1. Extent of missing data
    2. Outliers
    3. Field distribution and summary statistics
    4. Auto checking for missing and out of bounds data
    5. Bivariate relationships between variables

    Data Preparation (40%)

    1. Create new variables with the Derive Node
    2. Create new variables with the Reclassify Node
    3. Combine data files
    4. Restructure data
    5. Aggregate data
    6. Remove duplicates
    7. Sampling cases
    8. Balance data
    9. Data caching
    10. Partitione data
    11. Missing Value replacement

    Modeling (5%)

    1. Predictive models
    2. Cluster models
    3. Association models
    4. NOTE: Business partners who take this exam are only expected to familiar with each class of model and the steps that are necessary to prepare the data prior creating the models in the software.

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  • Register for a Test Register for an IBM Certification test at Pearson VUE and take a step into your future. Take a minute to review how to Create Pearson VUE account associated with IBM and Selecting Tests on the Pearson VUE Website.
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