Q66. Refer to the Exhibit.

You are working on creating an OLAP query that outputs several rows of with summary rows of subtotals and grand totals in addition to regular rows that may contain NULL as shown in the exhibit.
Which function can you use in your query to distinguish the row from a regular row to a subtotal row?

Q67. What does a branch represent in a decision tree?

Q68. Refer to the exhibit.

In the exhibit, a correlogram is provided based on an autocorrelation analysis of a sample dataset.
What can you conclude based only on this exhibit?

Q69. Your risk analysis team has access to new customer financial data. You want to use this data to improve your prediction of credit default. Previously, the team was using only credit bureau scores, loan size, and customer income to assess risk of default.
What is the null hypothesis that should be used to evaluate the model?

Q70. Consider the following text:
“Aren’t you glad that there are all these toys. Are you taking any for the children?” What is the term frequency for the word are in the text with both case folding and a tokenizer applied to punctuation?

Q71. What is the reason for using LOESS?

Q72. You build a decision tree to classify five different types of customers based on their browsing history from a sample of 500. The resulting decision tree has 17 layers. One of the leaf nodes has only three customers.
What do you conclude?

Q73. You are using the Apriori algorithm to determine the likelihood that a person who owns a home has a good credit score. You have determined that the confidence for the rules used in the algorithm is > 75%. You calculate lift = 1.011 for the rule, “People with good credit are homeowners”.
What can you determine from the lift calculation?

Q74. Refer to the exhibit.

You ran a linear regression, and the final output is seen in the exhibit. Based only on the information in the exhibit and an acceptable confidence level of 95%, how would you interpret the interaction of variable D with the dependent variable?

Q75. Refer to the exhibit.

You have created a density plot of purchase amounts from a retail website as shown.
What should you do next?

Q76. You have run the association rules algorithm on your data set, and the two rules {banana, apple} =>
{grape} and {apple, orange}=> {grape} have been found to be relevant.
What else must be true?

Q77. What are categorized as data ingestion tools for Hadoop?

Q78. Refer to the exhibit.

The exhibit shows four graphs labeled as Fig A thorough Fig D.
Which figure represents the entropy function relative to a Boolean classification and is represented by the formula shown in Exhibit?

Q79. Which visualization technique should be avoided?

Q80. When is a Wilcoxon Rank-Sum test used?

Q81. What is Hadoop?

Q82. Refer to the exhibit.

In the exhibit, a correlogram is provided based on an autocorrelation analysis of a sample dataset.
What can you conclude from only this exhibit?

Q83. In a decision tree, what is an example of a pure node?

Q84. Refer to the exhibit.

The graph represents an ROC space with four classifiers labelled A through D.
Which point in the graph represents a perfect classification?

Q85. What are three built-in data types in the R programming language?