Pre-test: Business Problems and Data Science Solutions

Question 1

What is the main purpose of Descriptive Analytics?

To predict what is likely to happen in the future To recommend optimal actions to take To summarize and understand what has happened using past data To investigate the reasons why something happened

Question 2

What does Diagnostic Analytics help us understand?

It forecasts future events It gives suggestions on what to do It provides a summary of what has happened It helps explain why something happened

Question 3

What is the focus of Predictive Analytics?

It forecasts future events It helps explain why something happened It gives suggestions on what to do It provides a summary of what has happened

Question 4

What does Prescriptive Analytics aim to provide?

Recommendations or actions to achieve desired outcomes Descriptions of past events Reasons why something happened Forecasts without any guidance for action

Question 5

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Which of the following correctly lists the steps of the CRISP-DM process in order?

Data Understanding → Business Understanding → Data Preparation → Modeling → Evaluation → Deployment Modeling → Data Preparation → Data Understanding → Business Understanding → Evaluation → Deployment Deployment → Evaluation → Modeling → Data Preparation → Data Understanding → Business Understanding Business Understanding → Data Understanding → Data Preparation → Modeling → Evaluation → Deployment

Question 6

What is the main goal of a classification task in data mining?

Predict a continuous numeric value Group similar data points without labels Assign data into predefined categories Reduce the number of features in a dataset

Question 7

Which type of data mining task predicts continuous numeric outcomes based on input variables?

Classification Regression Clustering Profiling

Question 8

What does similarity matching aim to do in data mining?

Find missing values Identify causal relationships Find data points similar to a given item Reduce data size

Question 9

What is the purpose of clustering in data mining?

Predict future values Assign categories based on labels Group data into clusters based on similarity Detect anomalies in sequences

Question 10

Which task involves identifying items or events that frequently occur together?

Link Prediction Co-occurrence Grouping Profiling Similarity Matching

Question 11

What does profiling aim to do in data mining?

Classify unseen data Create a summary of typical behavior or characteristics Forecast numeric trends Predict linkages between entities

Question 12

Which task is used to predict connections between entities in a network?

Clustering Similarity Matching Link Prediction Regression

Question 13

What is the goal of data reduction in data mining?

Increase storage space Eliminate redundant records Summarize or compress data while retaining important information Predict new data points

Question 14

Which data mining task aims to determine cause-and-effect relationships between variables?

Classification Regression Causal Modeling Co-occurrence Grouping

Question 15

Which business problem is best addressed by using similarity matching?

Personalized Online Experience Customer Churn Property Valuation Improving Cross Sales

Question 16

Which business problem is best addressed by using regression?

Improving Cross Sales Customer Churn Property Valuation Link Prediction

Question 17

Which business problem is best addressed by using classification?

Customer Churn Property Valuation Similarity Matching Data Reduction

Question 18

Which business problem is best addressed by using co-occurrence grouping?

Customer Churn Property Valuation Improving Cross Sales Causal Modeling