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Updated: Sep 02, 2026
No. of Questions: 146 Questions & Answers with Testing Engine
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| Certification Vendor: | Python Institute |
|---|---|
| Exam Name: | Python Institute Certified Associate Data Analyst with Python |
| Exam Number: | PCAD-31-02 |
| Available Languages: | German, French, English, Spanish, Japanese |
| Passing Score: | 75% |
| Exam Duration: | 60 minutes |
| Exam Format: | Multiple-select questions, Single-select questions |
| Certificate Validity Period: | 6 years |
| Related Certifications: | PCEP – Certified Entry-Level Python Programmer PCED – Certified Associate in Python Engineering PCAP – Certified Associate in Python Programming |
| Exam Price: | $195 USD |
| Real Exam Qty: | 48 |
| Recommended Training: | PCAD Official Syllabus and Resources Edube Interactive Learning Platform |
| Exam Registration: | Python Institute Official Registration |
| Sample Questions: | Python Institute PCAD-31-02 Sample Questions |
| Exam Way: | Online proctored or onsite at authorized test centers |
| Pre Condition: | No mandatory prerequisites; recommended: PCAP – Certified Associate in Python Programming or equivalent knowledge, basic understanding of statistics and data concepts |
| Official Syllabus URL: | https://pythoninstitute.org/pcad |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Exploration and Statistical Analysis | 25% | - Descriptive statistics
|
| Topic 2: Data Modeling and Machine Learning Basics | 20% | - Model performance and optimization
|
| Topic 3: Data Acquisition and Preprocessing | 30% | - Data cleaning and validation
|
| Topic 4: Data Visualization and Communication | 15% | - Data storytelling and reporting
|
| Topic 5: SQL and Database Integration | 10% | - SQL querying
|
Question 1
Which of the following statements correctly describe best practices when managing Python modules and packages in data analytics workflows?
(Choose two)
A. Always install packages system-wide for accessibility
B. Use PIP to install and uninstall third-party libraries as needed
C. Use virtual environments to isolate project dependencies
D. Regularly update all packages using pip update all
Question 2
Which of the following would best validate the uniqueness of a primary key in a Pandas DataFrame?
A. df['id'].duplicated().any()
B. df['id'].fillna()
C. df['id'].isnull().sum()
D. df['id'].nunique()
Question 3
What object-oriented principle allows a child class to reuse and extend the behavior of a parent class in a Python data modeling scenario?
A. Abstraction
B. Encapsulation
C. Inheritance
D. Composition
Question 4
Which method is best suited to transform inconsistent entries such as "N/A", "missing", and empty strings into a standard missing value representation in a Pandas DataFrame?
A. df.dropna()
B. df.replace()
C. df.rename()
D. df.sort_values()
Question 5
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. append()
B. merge(..., how='inner')
C. concat()
D. join(..., how='outer')
Solutions:
| Question 1 Answer: B,C | Question 2 Answer: A | Question 3 Answer: C | Question 4 Answer: B | Question 5 Answer: B |
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