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| Section | Weight | Objectives |
|---|
| Exploratory Data Analysis | | |
| Data Visualization and Communication | | |
| Data Acquisition and Pre-Processing | 29.2% | |
| Statistical Methods and Modeling | | |
| SQL and Data Management | | |
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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q44-Q49):
NEW QUESTION # 44
Which techniques can be used to select a subset of rows and columns from a DataFrame using labels?
(Choose two)
- A. df.iloc[0:5, 'col2']
- B. df['col1', 'col2']
- C. df.loc[:, 'col1']
- D. df.loc[2:7, ['col1', 'col2']]
Answer: C,D
NEW QUESTION # 45
Which file formats are commonly used for hierarchical or nested data structures in data acquisition?
(Choose two)
- A. TSV
- B. JSON
- C. XML
- D. CSV
Answer: B,C
NEW QUESTION # 46
What is the correct SQL statement to permanently remove a table named customers from a database?
- A. DELETE TABLE customers;
- B. REMOVE TABLE customers;
- C. DROP TABLE customers;
- D. TRUNCATE TABLE customers;
Answer: C
NEW QUESTION # 47
Which of the following best describes the purpose of the plt.subplot() function in Matplotlib?
- A. It configures multiple plots in a grid layout within a single figure
- B. It links Matplotlib with Seaborn's grid styling
- C. It creates a 3D surface plot using pandas
- D. It overlays multiple plots in the same figure without axes
Answer: A
NEW QUESTION # 48
When merging two Pandas DataFrames using a common key, which parameters are essential to ensure accurate and conflict-free results?
(Choose two)
- A. dropna
- B. on
- C. suffixes
- D. ignore_index
Answer: B,C
NEW QUESTION # 49
......
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