Predictive Analytics Modeler Explorer Award UPDATED Exam Questions and CORRECT Answers
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Predictive Analytics Modeler Explorer Award
Predictive Analytics Modeler Explorer
Award UPDATED Exam Questions and
CORRECT Answers
Which statement describes the goal of a typical data mining project?
A. Produce reports describing customer behavior, based on empirical data.
B. Assess risk associated with past business decisions.
C. Pr...
Predictive Analytics Modeler Explorer
Award UPDATED Exam Questions and
CORRECT Answers
Which statement describes the goal of a typical data mining project?
A. Produce reports describing customer behavior, based on empirical data.
B. Assess risk associated with past business decisions.
C. Predict the behavior of future cases based on past information.
D. Provide insightful financial reports that help business decision making. - Correct Answer-
C. Predict the behavior of future cases based on past information
Which tab allows you to count how many valid records exist in the data audit node dialog?
A. Annotations
B. Output
C. Settings
D. Quality - Correct Answer- D. Quality
You need to create a single report that can be run at different times for different months
without editing the stream after it has been deployed. How should you build the stream?
A. Make a filler node to put the correct value into the stream.
B. Create a session parameter for the month. Enter the data as needed.
C. Hard code the month in a SuperNode. Update when necessary.
D. Use a partition node to create separate sample groups for each month. - Correct Answer-
B. Create a session parameter for the month. Enter the data as needed.
,What is a segmentation modeling method that automatically sets the number of clusters into
which records are then classified?
A. Kohonen networks
B. AutoCluster
C. TwoStep
D. K-Means - Correct Answer- C. TwoStep
Identify an important characteristic of the segmentation model.
A. The segmentation model identifies clusters in the data.
B. The segmentation model does not create a nugget.
C. The segmentation model has multiple targets.
D. The segmentation model has a predefined output. - Correct Answer- A. The segmentation
model identifies clusters in the data.
You are building a stream with SPSS MODELER. The bottom of the Table output window
shows many records with all $null$ values. How can you eliminate these records from your
model?
A. Edit the properties of the stream and choose the option: "Exclude null values".
B. Generate a Select node where data_known="yes".
C. Edit the Table node and choose the option: "Exclude null values".
D. Edit the Select node and add "where data_known="yes" to the SQL statement. - Correct
Answer- B. Generate a Select node where data_known="yes".
How do you specify which records are grouped together in a derive node in count mode?
A. by entering a 'Reset when' criteria
B. by entering an 'Increment by' of 0
C. by entering an 'Initial value' of the field name
D. by entering the 'Group by' field - Correct Answer- A. by entering a 'Reset when' criteria
You have built a stream in SPSS MODELER that includes two source nodes and four output
nodes. How can you run the stream to produce all four outputs?
,A. Click the Run button from the main menu.
B. Right-click a source node and choose Run "Selection".
C. Right-click one of the terminal nodes and choose Run All".
D. Select a source node and click the Run button from the main menu. - Correct Answer- A.
Click the Run button from the main menu.
Which selection is indicative of a Association modeling objective?
A. A person's age is a determining factor to predict whether a Website visitor will click on an
ad for something interesting on Facebook.
B. Subjects who change jobs every six months are more likely to default on an automobile
loan.
C. Income is a determining factor for whether a family takes a summer vacation to a foreign
country or resort area.
D. Cell phone users who subscribe to plan A will likely purchase the newest cell phone as
soon as it is released. - Correct Answer- D. Cell phone users who subscribe to plan A will
likely purchase the newest cell phone as soon as it is released.
Which of the following means a model can fit the training set perfectly and fails with unseen
future data?
A. Underfitting
B. Prediction
C. Overfitting
D. Cross validation - Correct Answer- C. Overfitting
You are using Data Refinery, which tab can give you insights into your data, helping you
identify patterns, connections, and relationships?
A. Functions
B. Profile
C. Operations
D. Visualizations - Correct Answer- D. Visualizations
Which node will create a classification table, based on the accuracy of a model?
A. Sample
, B. Analysis
C. Partition
D. Data Audit - Correct Answer- B. Analysis
Your Data Set consists of 5000 records describing houses and you are trying to predict the
house price, if one of the fields in your data set describes the area of the house, what should
the role of this field be?
A. Both
B. Partition
C. Target
D. Input - Correct Answer- D. Input
Which statement describes a CHAID analysis?
A. the process of Detecting Automatic Interaction through classification and heuristics
B. a classification and prediction method based on classification and regression
C. a decision-tree technique that looks for predictive variables based on Chi-square testing
D. a modified Chi-square analysis that produces a predictive decision tree - Correct Answer-
C. a decision-tree technique that looks for predictive variables based on Chi-square testing
Which of the following can't be a reason for a data mining project failure?
A. Not enough time spent on data preparation
B. The complexity of the model is of O(n2)
C. Bad quality data
D. Some inputs/factors can't be legally used - Correct Answer- B. The complexity of the
model is of O(n2)
Which of the following means a machine learning model cannot fit the training data or
generalize to new data?
A. Overfitting
B. Feedforwad
C. Underfitting
D. Backpropagation - Correct Answer- C. Underfitting
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