Objective 3.1 Examine Data CERTIFIED-DATA-SCIENCE-PRACTITIONER Practice Questions (Page 4)

Questions 16–20

1. 16expert · medium

   A data scientist is analyzing 'customer_spend' data. The IQR is $200 (Q1=$100, Q3=$300). Using the IQR rule, what is the upper bound for identifying outliers, and what does this imply?

   • AUpper bound = $700; any value above $700 is considered an outlier.
   • BUpper bound = $400; any value above $400 is considered an outlier.
   • CUpper bound = $500; any value above $500 is considered an outlier.
   • DUpper bound = $600; any value above $600 is considered an outlier.
   Reveal Solution Discussion Select an answer first
2. 17application · medium

   A marketing team has a dataset with 'customer_id', 'age', 'gender' (Male/Female), 'education_level' (High School/Bachelor/Master/PhD), and 'purchase_amount'. They want to build a model to predict 'purchase_amount'. Which features should be treated as categorical?

   • Aage and education_level
   • Bcustomer_id and gender
   • Cage and purchase_amount
   • Deducation_level and gender
   Reveal Solution Discussion Select an answer first
4. 18application · easy

   A bank wants to build a model to decide whether to approve a loan application. The dataset contains: 'credit_score', 'annual_income', 'loan_amount', 'defaulted' (Yes/No), and 'application_date'. Which feature should be the target for this classification model?

   • Aloan_amount, because it is the amount of money at risk.
   • Bdefaulted, because it is the outcome the bank wants to predict.
   • Capplication_date, because it is a timestamp.
   • Dcredit_score, because it is the most important predictor.
   Reveal Solution Discussion Select an answer first
5. 19foundation · easy

   Which plot is best for visualizing the joint distribution of two continuous variables?

   • ADensity plot
   • BHistogram
   • CScatter plot
   • DBox plot
   Reveal Solution Discussion Select an answer first
6. 20application · medium

   A data scientist at a manufacturing plant is examining sensor readings from a production line. The mean of the readings is 85.4, but the median is 78.2. A histogram of the data shows a long right tail. Which combination of summary statistics and visualization best characterizes this distribution?

   • AThe distribution is symmetric; the difference between mean and median is negligible and both are valid.
   • BThe distribution is right-skewed; the mean is pulled upward by high outliers, so the median better represents the typical reading.
   • CThe distribution is bimodal; the mean and median fall between two distinct peaks.
   • DThe distribution is left-skewed; the median is lower than the mean, indicating a few very low readings.
   Reveal Solution Discussion Select an answer first