Exam CTFL_Syll_4.0 Syllabus - CTFL_Syll_4.0 Authorized Certification

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ISQI CTFL_Syll_4.0 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Test Analysis and Design20%- Experience-Based Test Techniques
  • 1. Error guessing
  • 2. Exploratory testing
  • 3. Checklist-based testing
- Characteristics of Good Tests
  • 1. Coverage and efficiency
  • 2. Test case design principles
- Test Techniques
  • 1. Path testing
  • 2. Equivalence partitioning
  • 3. State transition testing
  • 4. Statement testing and decision testing
  • 5. Boundary value analysis
  • 6. Decision table testing
Topic 2: Fundamentals of Testing20%- What is Testing?
  • 1. Testing and debugging
  • 2. Typical testing objectives
- The Psychology of Testing
  • 1. Human psychology and testing
  • 2. Cognitive biases
  • 3. Tester mindset and developer's mindset
- Why is Testing Necessary?
  • 1. Testing's contribution to success
  • 2. Errors, defects, and failures
  • 3. Defects, root causes, and consequences
  • 4. Quality assurance and testing
- Test Process
  • 1. Traceability between the test basis and test items
  • 2. Testing as a process
  • 3. Test work products
  • 4. Test activities and tasks
Topic 3: Managing the Test Activities25%- Defect Management
  • 1. Defect reporting tools
  • 2. Defect report fields
  • 3. Defect lifecycle
- Test Planning
  • 1. Test estimation techniques
  • 2. Entry criteria and exit criteria
  • 3. Purpose and content of a test plan
- Test Monitoring and Control
  • 1. Metrics used in test monitoring and control
  • 2. Test reporting
- Risk-Based Testing
  • 1. Risk assessment
  • 2. Risk mitigation
  • 3. Risk identification
- Configuration Management
  • 1. Configuration management activities
Topic 4: Tool Support for Testing0%- Tools Support
  • 1. Test harness and unit test framework tools
  • 2. Test execution tools
  • 3. Performance measurement and dynamic analysis tools
  • 4. Test planning and control tools
  • 5. Test design and test implementation tools
- Benefits and Risks of Test Automation
  • 1. Tool selection and adoption
  • 2. Automated and manual testing trade-offs
Topic 5: Static Testing15%- Static Testing Basics
  • 1. Value of static testing
  • 2. Static testing and the test process
- Review Process
  • 1. Roles and responsibilities in reviews
  • 2. Review types and their characteristics
  • 3. Review phases
  • 4. Success factors for reviews
Topic 6: Testing Throughout the Software Development Lifecycle20%- Test Levels
  • 1. System testing
  • 2. Acceptance testing
  • 3. Integration testing
  • 4. Component testing
- Maintenance Testing
  • 1. Impact analysis
  • 2. Types of maintenance testing
  • 3. Triggers for maintenance
- Software Development Lifecycle Models
  • 1. Iterative and incremental development models
  • 2. Agile and DevOps approaches
  • 3. Sequential development models
- Test Types
  • 1. Confirmation testing and regression testing
  • 2. Functional testing
  • 3. Black-box testing
  • 4. Non-functional testing

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ISQI ISTQB Certified Tester Foundation Level (CTFL) v4.0 Sample Questions (Q258-Q263):

NEW QUESTION # 258
You designed two test cases, each of which achieves 50% statement coverage of your code.
Which sentence is true about the coverage achieved by the test suite TS, composed of these two test cases?

Answer: C

Explanation:
The combined test suite must cover at least the statements covered by each individual test case.
The two test cases may cover exactly the same statements or different statements, so the total suite coverage can range from 50% up to 100%.


NEW QUESTION # 259
Which of the following issues cannot be identified by static analysis tools?

Answer: C

Explanation:
Static analysis tools are software tools that examine the source code of a program without executing it. They can detect various types of issues, such as syntax errors, coding standards violations, security vulnerabilities, and potential bugs12. However, static analysis tools cannot identify issues that depend on the runtime behavior or performance of the program, such as very low MTBF (Mean Time Between failure)3. MTBF is a measure of the reliability of a system or component. It is calculated by dividing the total operating time by the number of failures. MTBF reflects how often a system or component fails during its expected lifetime. Static analysis tools cannot measure MTBF because they do not run the program or observe its failures. MTBF can only be estimated by dynamic testing, which involves executing the program under various conditions and collecting data on its failures4. Therefore, very low MTBF is an issue that cannot be identified by static analysis tools.
The other options, such as potentially endless loops, referencing a variable with an undefined value, and security vulnerabilities, are issues that can be identified by static analysis tools. Static analysis tools can detect potentially endless loops by analyzing the control flow and data flow of the program and checking for conditions that may never become false5. Static analysis tools can detect referencing a variable with an undefined value by checking the scope and initialization of variables and reporting any use of uninitialized variables6. Static analysis tools can detect security vulnerabilities by checking for common patterns of insecure code, such as buffer overflows, SQL injections, cross-site scripting, and weak encryption. References = What Is Static Analysis? Static Code Analysis Tools - Perforce Software, How Static Code Analysis Works | Perforce, Static Code Analysis: Techniques, Top 5 Benefits & 3 Challenges, What is MTBF? Mean Time Between Failures Explained | Perforce, Static analysis tools - Software Testing MCQs - CareerRide, ISTQB_Chapter3 | Quizizz, [Static Code Analysis for Security Vulnerabilities | Perforce].


NEW QUESTION # 260
Which of the following statements is an example of testing contributing to higher quality?

Answer: D

Explanation:
* The question is about identifying an example of testing contributing to higher quality. Quality is the degree to which a component, system or process meets specified requirements and/oruser/customer needs and expectations1. Testing is the process consisting of all lifecycle activities, both static and dynamic, concerned with planning, preparation and evaluation of software products and related work products to determine that they satisfy specified requirements, to demonstrate that they are fit for purpose and to detect defects2.
* Therefore, testing contributes to higher quality by verifying and validating that the software products and related work products meet the specified requirements, are fit for purpose and have no defects, or at least have a reduced number of defects. Testing also provides information about the quality of the software products and related work products to the stakeholders, who can make informed decisions based on the test results3.
* Out of the four given statements, only option D is an example of testing contributing to higher quality, as it shows that testing has detected a defect (a flaw in a component or system that can cause the component or system to fail to perform its required function4) and that the defect has been resolved (fixed and confirmed) prior to release (delivery of the software product to the customer or end user).
This means that testing has prevented a potential failure (an event in which a component or system does not perform a required function within specified limits) from occurring in the operational environment, and thus has improved the quality of the software product.
* Option A is not an example of testing contributing to higher quality, as it is a reporting activity that summarizes the test results and evaluates the test objectives, but does not directly affect the quality of the software product or related work products. A test summary report is a document that records and communicates the outcomes of testing activities, including test completion criteria, test results, incident reports, test summary and evaluation, and lessons learned.
* Option B is not an example of testing contributing to higher quality, as it is a planning activity that estimates the resources and time needed for testing activities, but does not directly affect the quality of the software product or related work products. A test effort estimate is an approximation of the amount of work and/or the duration of time required to perform testing activities.
* Option C is not an example of testing contributing to higher quality, as it is a preparation activity that sets up the test environment (an environment containing hardware, instrumentation, simulators, software tools, and other support elements needed to conduct a test), but does not directly affect the quality of the software product or related work products. A test environment installation is a process of installing and configuring the test environment according to the test environment specification.
References:
1: ISTQB Certified Tester Foundation Level Syllabus 2018, Version 4.0, p. 10
2: ISTQB Certified Tester Foundation Level Syllabus 2018, Version 4.0, p. 11
3: ISTQB Certified Tester Foundation Level Syllabus 2018, Version 4.0, p. 12
4: ISTQB Certified Tester Foundation Level Syllabus 2018, Version 4.0, p. 13
5: ISTQB Certified Tester Foundation Level Syllabus 2018, Version 4.0, p. 13
6: ISTQB Certified Tester Foundation Level Syllabus 2018, Version 4.0, p. 77
7: ISTQB Certified Tester Foundation Level Syllabus 2018, Version 4.0, p. 78
8: ISTQB Certified Tester Foundation Level Syllabus 2018, Version 4.0, p. 79
9: ISTQB Certified Tester Foundation Level Syllabus 2018, Version 4.0, p. 80
10: ISTQB Certified Tester Foundation Level Syllabus 2018, Version 4.0, p. 81
11: ISTQB Certified Tester Foundation Level Syllabus 2018, Version 4.0, p. 82
12: ISTQB Certified Tester Foundation Level Syllabus 2018, Version 4.0, p. 83
13: ISTQB Certified Tester Foundation Level Syllabus 2018, Version 4.0, p. 84
14: ISTQB Certified Tester Foundation Level Syllabus 2018, Version 4.0, p. 85
15: ISTQB Certified Tester Foundation Level Syllabus 2018, Version 4.0, p. 86
16: ISTQB Certified Tester Foundation Level Syllabus 2018, Version 4.0, p. 87
17: ISTQB Certified Tester Foundation Level Syllabus 2018, Version 4.0, p. 88
18: ISTQB Certified Tester Foundation Level Syllabus 2018, Version 4.0, p. 89
19: ISTQB Certified Tester Foundation Level Syllabus 2018, Version 4.0, p. 90
20: ISTQB Certified Tester Foundation Level Syllabus 2018, Version 4.0, p. 91
21`: ISTQB Certified Tester Foundation Level Syllabus 2018, Version 4.0, p. 92
22: ISTQB Certified Tester Foundation Level Syllabus 2018, Version 4.0, p. 93
23: ISTQB Certified Tester Foundation Level Syllabus 2018, Version 4.0, p. 94
24: ISTQB Certified Tester Foundation Level Syllabus 2018, Version 4.0, p. 95
25: ISTQB Certified Tester Foundation Level Syllabus 2018, Version 4.0, p. 96
26: ISTQB Certified Tester Foundation Level Syllabus 2018, Version 4.0, p. 97
27: ISTQB Certified Tester Foundation Level Syllabus 2018, Version 4.0, p. 98
28: ISTQB Certified Tester Foundation Level Syllabus 2018, Version 4.0, p. 99
29: ISTQB Certified Tester Foundation Level Syllabus 2018, Version 4.0, p. 100
30: ISTQB Certified Tester Foundation Level Syllabus 2018, Version 4.0, p. 101
31: ISTQB Certified Tester Foundation Level Syllabus 2018, Version 4.0, p. 102
32: ISTQB Certified Tester Foundation Level Syllabus 2018, Version 4.0, p. 103
33: ISTQB Certified Tester Foundation Level Syllabus 2018, Version 4.0, p. 104
34: ISTQB Certified Tester Foundation Level Syllabus 2018, Version 4.0, p. 105
35: ISTQB Certified Tester Foundation Level Syllabus 2018, Version 4.0, p. 106
36: ISTQB Certified Tester Foundation Level Syllabus 2018, Version 4.0, p. 107


NEW QUESTION # 261
Which of the following issues cannot be identified by static analysis tools?

Answer: C

Explanation:
Static analysis tools are software tools that examine the source code of a program without executing it. They can detect various types of issues, such as syntax errors, coding standards violations, security vulnerabilities, and potential bugs. However, static analysis tools cannot identify issues that depend on the runtime behavior or performance of the program, such as very low MTBF (Mean Time Between failure). MTBF is a measure of the reliability of a system or component. It is calculated by dividing the total operating time by the number of failures. MTBF reflects how often a system or component fails during its expected lifetime. Static analysis tools cannot measure MTBF because they do not run the program or observe its failures. MTBF can only be estimated by dynamic testing, which involves executing the program under various conditions and collecting data on its failures. Therefore, very low MTBF is an issue that cannot be identified by static analysis tools.


NEW QUESTION # 262
As a tester, as part of a V-model project, you are currently executing some tests aimed at verifying if a mobile app asks the user to grant the proper access permissions during the installation process and after the installation process. The requirements specification states that in both cases the app shall ask the user to grant access permissions only to the camera and photos stored on the device. However, you observe that the app also asks the user to grant access permission to all contacts on the device. Consider the following items:
[I]. Test environment
[ii]. Expected result
[iii]. Actual result.
[iv] Test level.
[v]. Root cause.
Based on only the given information, which of the items listed above, are you able to CORRECTLY specify in a defect report?

Answer: A

Explanation:
When writing a defect report, the tester can specify the expected result and the actual result based on the observation. The expected result is what the requirements specify, and the actual result is what was observed during testing. These elements are crucial for clearly communicating the nature of the defect to developers and other stakeholders. The other items such as test environment, test level, and root cause may not be clear or necessary at this stage of defect reporting.


NEW QUESTION # 263
......

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