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EMC Dell Data Scientist and Big Data Analytics Foundations 2023 Sample Questions:

1. 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?

A) {banana, apple, grape, orange} must be a frequent itemset.
B) {grape, apple, orange} must be a frequent itemset.
C) {grape} => {banana, apple} must be a relevant rule.
D) {banana, apple} => {orange} must be a relevant rule.

2. Refer to the exhibit.

You are assigned to do an end of the year sales analysis of 1, 000 different products, based on the transaction table.
Which column in the end of year report requires the use of a window function?

A) Maximum Price
B) Total Sales to Date
C) Daily Sales
D) Average Daily Price

3. Which visualization technique should be avoided?

A) Achieving a high data-ink ratio
B) Using 3-dimensional charts
C) Using a small number of contrasting colors to draw distinctions
D) Using visuals to illustrate key points

4. Consider a database with the following four transactions:
Transaction 1: {cheese, bread, milk}
Transaction 2: {soda, bread, milk}
Transaction 3: {cheese, bread}
Transaction 4: {cheese, soda, juice}
Assuming a minimum support of 50%, which itemsets would be generated in the second step of the Apriori algorithm?

A) {cheese, bread}, {cheese, milk}, {bread, milk}
B) {cheese, bread}, {cheese, bread, milk}
C) {cheese}, {bread}, {milk}, {soda}
D) {cheese, bread}, {bread, milk}

5. You are provided with the following list.
Which window function is missing?
cume_dist()
dense_rank()
rank()
percent_rank()
first_value()
last_value()
lag()
lead()
ntile()

A) row_preceding()
B) cumulative_sum()
C) median()
D) row_number()

Solutions: