Python Institute PCAD-31-02 Exam Overview:
| Certification Vendor: | Python Institute |
| Exam Name: | Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) |
| Exam Number: | PCAD-31-02 |
| Real Exam Qty: | 40 |
| Certificate Validity Period: | No expiration (lifetime validity) |
| Related Certifications: | PCEP - Certified Entry-Level Python Programmer PCAP - Certified Associate in Python Programming |
| Exam Price: | $295 USD |
| Passing Score: | 70% |
| Available Languages: | English |
| Exam Format: | Multiple Choice, Multiple Select, Fill in the Blank, Code Completion |
| Exam Duration: | 65 minutes |
| Sample Questions: | Python Institute PCAD-31-02 Sample Questions |
| Exam Way: | Online proctored exam through Pearson VUE testing centers |
| Pre Condition: | PCEP certification is recommended but not required. Basic Python programming knowledge is expected. |
| Official Syllabus URL: | https://pythoninstitute.org/certifications/pcad |
Python Institute PCAD-31-02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Analysis Fundamentals | 20% | - Introduction to Data Analysis
|
| Topic 2: Python Programming for Data Analysis | 30% | - File Operations
|
| Topic 3: Working with Data Using Python Libraries | 30% | - Pandas Library
|
| Topic 4: Applied Data Analysis Projects | 20% | - Exploratory Data Analysis (EDA)
|
Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:
1. Which of the following are limitations of manual data collection methods?
(Choose two)
A) Seamless integration with big data tools
B) Increased chance of human error
C) High scalability
D) Time-consuming process
2. What result will the following Pandas expression return: df['Age'].notnull().all()?
A) Returns True if all values in 'Age' are NULL
B) Returns the number of NULL values in 'Age'
C) Returns True if at least one value in 'Age' is not NULL
D) Returns True if all values in 'Age' are not NULL
3. Which practices are considered part of professional Python scripting standards?
(Choose two)
A) Avoiding error handling to keep code clean
B) Avoiding use of modules and libraries
C) Including in-line comments and docstrings
D) Using consistent indentation and naming conventions
4. Which function is used to reshape a NumPy array without modifying the original data values?
A) reshape()
B) resize()
C) flatten()
D) transpose()
5. Which term best describes the process of combining customer data from multiple systems into a single unified dataset?
A) Data normalization
B) Data binning
C) Data warehousing
D) Data integration
Solutions:
| Question # 1 Answer: B,D | Question # 2 Answer: D | Question # 3 Answer: C,D | Question # 4 Answer: A | Question # 5 Answer: D |

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