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| Section | Weight | Objectives |
|---|---|---|
| SQL and Data Management | ||
| Data Visualization and Communication | ||
| Data Acquisition and Pre-Processing | 29.2% | |
| Statistical Methods and Modeling | ||
| Exploratory Data Analysis |
Question 1
Which method is appropriate for combining two DataFrames based on a shared key column where non-matching rows should be excluded from the result?
A. merge(..., how='inner')
B. concat()
C. append()
D. join(..., how='outer')
Question 2
When joining two tables in a relational database using SQL, which clause is used to specify the relationship between their columns?
A. FROM
B. HAVING
C. GROUP BY
D. JOIN ON
Question 3
What is the primary advantage of using web scraping as a data collection method in business analytics?
A. It ensures compliance with privacy laws
B. It eliminates the need for data cleaning
C. It allows automation of data collection from public sources
D. It guarantees real-time data accuracy
Question 4
What does the describe() method in Pandas provide when applied to a numerical DataFrame column?
A. Basic descriptive statistics such as count, mean, and quartiles
B. A normalized version of the data column
C. A histogram of the data distribution
D. Only the standard deviation of the data
Question 5
Which practices are essential to ensure a fair evaluation of a machine learning model's performance?
(Choose two)
A. Using cross-validation to assess generalizability
B. Training on the entire dataset including test records
C. Splitting data into training and test sets
D. Randomizing the test dataset labels
Solutions:
| Question 1 Answer: A | Question 2 Answer: D | Question 3 Answer: C | Question 4 Answer: A | Question 5 Answer: A,C |
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