Python Institute PCET-30-01 Questions & Answers - in .pdf
- Total Q&A: 85
- Update: Aug 10, 2026
- Price: $59.99
- Vendor: Python Institute
- Exam Code: PCET-30-01
- Exam Name: PCET - Certified Entry - Level Tester with Python
- Features:
- Convenient, easy to study.
- Printable Python Institute PCET-30-01 PDF Format.
- 100% Money Back Guarantee.
- Complete Python Institute Recommended Syllabus.
- Free PCET-30-01 PDF Demo Available.
- Regularly Updated.
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- Exact Python Institute PCET-30-01 Exam Questions with Correct Answers, verified by Experts with years of Experience in IT Field.
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Python Institute PCET-30-01 Q&A - Testing Engine
- Total Q&A: 85
- Update: Aug 10, 2026
- Price: $59.99
- Vendor: Python Institute
- Exam Code: PCET-30-01
- Exam Name: PCET - Certified Entry - Level Tester with Python
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Python Institute PCET-30-01 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Topic 1: Debugging, Assertions, and Testing Techniques | 25% | - Debugging principles and tools
- 1. Identifying and isolating errors
- 2. Using debuggers and tracebacks
- Assertions and validation
- 1. Writing effective assertions
- 2. Validating inputs and outputs
- Testing techniques
- 1. Boundary value analysis
- 2. Error guessing
- 3. Equivalence partitioning
|
| Topic 2: Software Testing Types, Levels, and Processes | 25% | - Testing types
- 1. Functional vs non-functional testing
- 2. Black-box vs white-box vs gray-box testing
- Testing levels
- 1. System testing
- 2. Integration testing
- 3. Acceptance testing
- 4. Unit testing
- Testing process
- 1. Test planning and design
- 2. Defect reporting and management
- 3. Test execution and logging
|
| Topic 3: Static Analysis, Dynamic Testing, and Code Refactoring | 25% | - Dynamic testing
- 1. Running tests and verifying results
- 2. Coverage measurement
- Code refactoring
- 1. Improving structure without changing behavior
- 2. Maintainability and readability
- Static analysis
- 1. Code quality checks
- 2. Linting and style verification
|
| Topic 4: Core Software Testing Concepts | 25% | - Test doubles and isolation
- 1. Usage in unit vs integration testing
- 2. Types of test doubles
- Fundamentals of software testing
- 1. Testing principles and objectives
- 2. Basic terminology and definitions
- 3. Purpose and importance of testing
|
Python Institute PCET - Certified Entry - Level Tester with Python Sample Questions:
1. Which test double mimics a real implementation but has reduced complexity and is used in integration testing?
A) Stub
B) Dummy
C) Fake
D) Spy
2. Which features are offered by most interactive debuggers like pdb?
A) Database connection pooling
B) Step-by-step execution
C) Variable inspection
D) UI validation
3. Which of the following is an example of a static testing activity?
A) Code review
B) Integration testing
C) Unit testing
D) Regression testing
4. Which of the following are key software testing principles?
A) Testing can prove software is correct
B) Early testing saves time and money
C) Testing is context dependent
D) Absence of errors implies usability
5. Which are valid logging levels in Python's logging module?
A) DEBUG
B) INFO
C) ERROR
D) TRACE
Solutions:
Question # 1
Answer: C | Question # 2
Answer: B,C | Question # 3
Answer: A | Question # 4
Answer: B,C | Question # 5
Answer: A,C |
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