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| Section | Weight | Objectives |
|---|
| Topic 1: SQL and Data Management | | |
| Topic 2: Statistical Methods and Modeling | | |
| Topic 3: Exploratory Data Analysis | | |
| Topic 4: Data Acquisition and Pre-Processing | 29.2% | |
| Topic 5: Data Visualization and Communication | | |
>> PCAD-31-02 Reliable Exam Topics <<
Hot PCAD-31-02 Reliable Exam Topics | Efficient Python Institute PCAD-31-02 Certification Practice: Python Institute Certified Associate Data Analyst with Python (PCAD-31-02)
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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q124-Q129):
NEW QUESTION # 124
What is the primary advantage of using web scraping as a data collection method in business analytics?
- A. It guarantees real-time data accuracy
- B. It allows automation of data collection from public sources
- C. It ensures compliance with privacy laws
- D. It eliminates the need for data cleaning
Answer: B
NEW QUESTION # 125
What will the following function return?
def average(*args):
return sum(args) / len(args)
average(4, 5, 6)
- A. 0
- B. Error
- C. 5.0
- D. (4, 5, 6)
Answer: C
NEW QUESTION # 126
Which techniques are most effective when designing reusable and testable functions in Python?
(Choose two)
- A. Use of default parameters
- B. Avoiding external state or side effects
- C. Creating large monolithic functions
- D. Returning print statements instead of values
Answer: A,B
NEW QUESTION # 127
What is the best approach when comparing SQL NULL values with Python data during conditional checks?
- A. Use == None directly in SQL queries
- B. Convert all NULL to string before comparison
- C. Use Python's None and SQL's IS NULL clause
- D. Replace NULL with zero before importing
Answer: C
NEW QUESTION # 128
Which Pandas methods are commonly used to extract central tendency and dispersion insights from a DataFrame?
(Choose two)
- A. var()
- B. median()
- C. sort_values()
- D. pivot_table()
Answer: A,B
NEW QUESTION # 129
......
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