D-DS-FN-23Preview

What is the primary role of a business intelligence analyst on an analytics project?

When building a K-means clustering model, you notice that the clusters did not segment on variables that you expected. What should you do?

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?

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

Which SQL set operator returns rows that exist in the first SELECT statement answer set but not in the second SELECT statement?

What is a benefit of Spark in-memory data processing as opposed to using MapReduce?

Which component of a final presentation provides a succinct overview of the business situation that was the impetus to initiate the project?

When should you consider using multinomial logistic regression over binary logistic regression?

What are good reasons to develop a naïve Bayes classifier model?

Refer to the exhibit, which shows pairwise counts for items purchased together.
Consider the following association rule: Milk -> Eggs
What is value of the lift?

In addition to quantitative and technical skills, what is a key aspect of the profile of a data scientist?

What is part of the model output for a linear regression?

On which type of data should you run K-means clustering?

Refer to the exhibit.
To predict whether or not a customer will renew their annual property insurance policy, an insurance company built and operationalized a naïve Bayes classification model. In the model, there are two class labels, renewal and non-renewal, that are assigned to each customer based on their attributes.
A subset of the key attributes, their values, and corresponding conditional probabilities are provided in the exhibit.
A customer has the following attributes:

Age is greater than 65 years -

Owns their own home -

Renewal month is August -
If 20% of customers do not renew the police every year, what is the score for a renewal in the naïve Bayesian model for the customer described above?

In a user-defined aggregate function, what is FFUNC?

In which programming language is Hadoop written?

In the data preparation phase of the data analytics lifecycle, what does the term “data conditioning” refer to?

What does “MAD” in MADlib stand for?

MapReduce is designed to process data in which way?

What is a recommended use case for regular expressions?

In ANOVA, what is the null hypothesis for k population means?

What metrics are used to help calculate relevance in text analysis?

Executives want to determine whether a change in a shopping rewards program has been effective in getting customers to increase their spending. Which approach could be used to determine if a significant shift in spending has occurred?