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Python Institute PCAD-31-02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Exploratory Data Analysis | ||
| Topic 2: Statistical Methods and Modeling | ||
| Topic 3: Data Visualization and Communication | ||
| Topic 4: SQL and Data Management | ||
| Topic 5: Data Acquisition and Pre-Processing | 29.2% |
Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:
Question 1
When merging two Pandas DataFrames using a common key, which parameters are essential to ensure accurate and conflict-free results?
(Choose two)
A. suffixes
B. ignore_index
C. on
D. dropna
Question 2
What does the standard deviation of a dataset represent in the context of statistical analysis?
A. The number of outliers in the dataset
B. The average squared distance from the mean
C. The sum of all values in the dataset
D. The most frequently occurring value
Question 3
Which practices are essential to ensure a fair evaluation of a machine learning model's performance?
(Choose two)
A. Training on the entire dataset including test records
B. Randomizing the test dataset labels
C. Using cross-validation to assess generalizability
D. Splitting data into training and test sets
Question 4
Which characteristics are typically associated with unstructured data formats?
(Choose two)
A. Stored using fixed-width fields and records
B. Highly tabular and query-friendly
C. Requires parsing or transformation before analysis
D. Lacks predefined data schema
Question 5
What will the following function return?
def average(*args):
return sum(args) / len(args)
average(4, 5, 6)
A. 15
B. 5.0
C. (4, 5, 6)
D. Error
Solutions:
| Question 1 Answer: A,C | Question 2 Answer: B | Question 3 Answer: C,D | Question 4 Answer: C,D | Question 5 Answer: B |




