Assessment IBMSPSSMPRO Latest Topics and answers prior to deciding to take test

IBM SPSS Modeler Professional Certification Exam Dumps

IBMSPSSMPRO Exam Format | Course Contents | Course Outline | Exam Syllabus | Exam Objectives

Exam: IBMSPSSMPRO IBM SPSS Modeler Professional Certification

Exam Details:
- Number of Questions: The exact number of questions may vary, but the exam typically consists of multiple-choice questions.
- Time: Candidates are usually given a specific time duration to complete the exam.

Course Outline:
The IBMSPSSMPRO IBM SPSS Modeler Professional Certification course is designed to equip candidates with the knowledge and skills required to effectively use IBM SPSS Modeler for data analysis and predictive modeling. The course outline includes the following topics:

1. Introduction to IBM SPSS Modeler
- Overview of IBM SPSS Modeler and its features
- Understanding the data mining process
- Introduction to data preparation and data cleaning techniques

2. Data Understanding and Preparation
- Exploring and visualizing data using IBM SPSS Modeler
- Data preprocessing techniques (e.g., missing values, outliers)
- Sampling techniques and data partitioning

3. Modeling Techniques
- Introduction to predictive modeling and machine learning algorithms
- Classification and regression models
- Clustering and segmentation techniques
- Association and sequence analysis

4. Model Evaluation and Deployment
- Assessing model performance and accuracy
- Validation techniques (e.g., cross-validation, holdout method)
- Techniques for interpreting and explaining models
- Deploying models and integrating them into business processes

5. Advanced Topics
- Text mining and sentiment analysis
- Time series forecasting
- Dimension reduction techniques (e.g., factor analysis, principal component analysis)
- Model optimization and tuning

Exam Objectives:
The IBMSPSSMPRO exam aims to assess candidates' understanding of IBM SPSS Modeler and their ability to apply its functionalities to data analysis and predictive modeling tasks. The exam objectives include:

1. Demonstrating knowledge of IBM SPSS Modeler features, functionalities, and interface.
2. Understanding the data mining process and being able to apply data preparation techniques.
3. Applying various modeling techniques and selecting appropriate algorithms for different types of data analysis tasks.
4. Evaluating and interpreting models' performance and accuracy.
5. Demonstrating proficiency in deploying and integrating models into business processes.

Exam Syllabus:
The exam syllabus covers the following topics:

- Introduction to IBM SPSS Modeler
- Data Understanding and Preparation
- Modeling Techniques
- Model Evaluation and Deployment
- Advanced Topics

Candidates are expected to have a solid understanding of these topics and demonstrate their ability to apply IBM SPSS Modeler in real-world scenarios. The exam assesses their knowledge, analytical thinking skills, and ability to use the software to derive meaningful insights from data and build predictive models.

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IBM
IBMSPSSMPRO
IBM SPSS Modeler Professional Certification
https://killexams.com/pass4sure/exam-detail/IBMSPSSMPRO
QUESTION: 66
Once a model has been developed, it needs to be monitored to be determining when it needs to
be replaced. Which of the following is not a reason for replacing the model?
A. Changes in marketing strategies by your firm.
B. Changes in general economy.
C. New customer in database.
D. New products and services sold by your firm.
Answer: B
QUESTION: 67
In the Aggregate node, when you click on Preview button, which statement is true?
A. The preview will by default be before aggregation but that can be changed.
B. The preview will always be after aggregation.
C. The preview will always be before aggregation.
D. The Aggregate node does not have a Preview option.
Answer: A
QUESTION: 68
Missing values can be specified in the Source node used to read the data or in the type node.
A. True
B. False
Answer: A
QUESTION: 69
Some data mining model such as Neural Net and Support Vector Machine models do not
provide equations or rules to help analysis determine how the models use the input fields for
29
prediction. If you have a categorical target field and a continuous input field, which graphing
technique could ad with interpretation?
A. Distribution node
B. Histogram node
C. Plot node
D. Evaluation node
Answer: A
QUESTION: 70
Which of the following is the biggest advantage of using a data cache?
A. Integrating the modified data with the original data source.
B. Creating reports or doing other analysis with other software.
C. Using the prepared data file more efficiently.
D. Applying modifications to new data more easily.
Answer: C
QUESTION: 71
The set Random seed option on the sample node is required if you want to draw the same
random sample with the same records more than once.
A. True
B. False
Answer: A
QUESTION: 72
Which outlier treatment is not available in the Quality tab of the Data Audit output?
A. Coerce
B. Nullify
30
C. Recode
D. Discard
Answer: C
QUESTION: 73
A Database Export node can be used to write data to more than one database table in the same
operation.
A. True
B. False
Answer: B
31
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IBM SPSS Modeler Professional Certification Exam Dumps

IBMSPSSMPRO Exam Format | Course Contents | Course Outline | Exam Syllabus | Exam Objectives

100% Money Back Pass Guarantee

IBMSPSSMPRO PDF Sample Questions

IBMSPSSMPRO Sample Questions

Killexams VCE Exam Simulator 3.0.9

Assessment IBMSPSSMPRO Latest Topics and answers prior to deciding to take test

Latest 2024 Updated IBMSPSSMPRO Real Exam Questions

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