C2150-600 IBM Security Trusteer Fraud Protection Fundamentals

Test information:
Number of questions: 30
Time allowed in minutes: 60
Required passing score: 69%
Languages: English, French, Latin American Spanish, Portuguese (Brazil)

Related certifications:
IBM Certified Associate - Security Trusteer Fraud Protection

Product Functionality (80%)
Comprehension: Identify a plan to install a client on a mobile device or desktop computer (PC or Mac)
Comprehension: Identify a plan to uninstall a client from a mobile device or desktop computer (PC or Mac)
Comprehension: Explain the functionality and features of IBM Trusteer clientless (cloud-based) protection
Comprehension: Explain the functionality and features of IBM Trusteer client-based protection
Comprehension: Identify the reporting functionality of the TMA system

Basic Troubleshooting and Analysis (10%)
Comprehension: Identify basic troubleshooting tasks and analysis.

Deployment (10%)
Comprehension: Explain the deployment process and options of the IBM Trusteer Pinpoint platform.BM Certified Associate - Security Trusteer Fraud Protection

Job Role Description / Target Audience
An IBM Certified Trusteer Fraud Fundamentals Professional is an individual (sales engineers) who can demonstrate basic support and technical knowledge of the Trusteer Fraud product portfolio, including implementation and management of a Trusteer Fraud solution.

Recommended Prerequisite Skills
Network Data communications
Network Security
Windows OS
Mac OS

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C2090-930 IBM SPSS Modeler Professional v3

Test information:
Number of questions: 60
Time allowed in minutes: 90
Required passing score: 67%
Languages: English, Japanese

Related certifications:
IBM Certified Specialist - SPSS Modeler Professional v3

This test will certify that the successful candidate has the fundamental knowledge to participate as an effective team member in the implementation of IBM SPSS Modeler Professional analytics solutions.

SPSS Modeler Professional Functionality (10%)
Identify the purpose of each palette
Describe the use of SuperNodes
Describe the advantages of SPSS Modeler scripting

Business Understanding and Planning (10%)
Describe the CRISP-DM process
Describe how to map business objectives to data mining goals

Data Understanding (15%)
Describe appropriate nodes for summary statistics, distributions, and visualizations (for example, graph nodes, output nodes)
Describe data quality issues (for example, outliers and missing data)

Data Preparation (20%)
Describe methods for data transformation (for example, Derive node, Auto Data Prep node, Data Audit node and Filler node)
Describe how to integrate data (for example, Merge node and Append node)
Describe sampling, partitioning, and balancing data (for example, Sample node, Balance node and Partition node)
Describe methods for refining data (for example, Select node, Filter node and Aggregate node)

Modeling (20%)
Describe classification models (including GLM and regression)
Describe segmentation models
Describe association models
Describe auto modeling nodes
Demonstrate how to combine models using the Ensemble node

Evaluation and Analysis (15%)
Demonstrate how to interpret SPSS Modeler results (for example, using Evaluation node, Analysis node, and data visualizations)
Describe how to use model nugget interfaces

Deployment (10%)
Describe how to use Export nodes (tools for exporting data)
Identify how to score new data using models
Identify SPSS Modeler reporting methods

IBM Certified Specialist - SPSS Modeler Professional v3

Job Role Description / Target Audience
The candidate has knowledge of analytical solutions, understands IBM SPSS Modeler capabilities, has knowledge of the IBM SPSS Modeler data model, can apply consistent methodologies to every engagement and develop SPSS predictive models.

To achieve the IBM Certified Specialist - SPSS Modeler Professional certification, candidates must possess the skills identified under Recommended Prerequisite Skills, if any, and pass one (1) exam.

Upon completion of this technical certification the successful candidate shows having the fundamental knowledge to participate as an effective team member in the implementation of IBM SPSS Modeler Professional analytics solution.

Recommended Prerequisite Skills
The following are topics that are assumed before your test preparation and will not be tested on :
Database and ODBC concepts
Basic proficiency in statistical concepts
Knowledge of basic computer programming
QUESTION 1
You have collected data about a set of patients, all of whom suffered from the same illness. During their course of treatment, each patient responded to one of five medications. The column. Drug, is a character field that describes the medication. You need to find out which proportion of the patients responded to each drug.
Which node should be used?

A. Web node
B. Distribution node
C. Sim Fit node
D. Evaluation node

Answer: C

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QUESTION 2
When describing data, which two nodes address value types? (Choose two.)

A. Data Audit node
B. Statistics node
C. Type node
D. Report node

Answer: A,C

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QUESTION 3
How many stages are there in the CRISP-DM process model?

A. 4
B. 6
C. 8
D. 10

Answer: C

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QUESTION 4
An organization wants to determine why they are losing customers.
Which supervised modeling technique would be used to accomplish this task?

A. PCA
B. QUEST
C. Apriori
D. Kohonen

Answer: C

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QUESTION 5
You want to create a Filter node to keep only a subset of the variables used in model building, based on predictor importance.
Which menu in the model nugget browser provides this functionality?

A. File
B. Preview
C. View
D. Generate

Answer: C

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