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ISTQB CTAL-TTA Exam Questions
- Topic 1: Risk-Based Testing for Technical Test Analysts: Its focal point is risk-based testing. It delves into assessment, risk identification, and mitigation.
- Topic 2: White-Box Test Techniques: This topic deals with different white-box testing methodologies, including decision testing, modified condition/decision testing, statement testing, and API testing. Moreover, it focuses on basic path testing, API testing, and choosing an appropriate white-box test technique as per the project situation.
- Topic 3: Static and Dynamic Analysis: In this topic, questions about importance of both static and dynamic analysis, control flow analysis, memory leaks, performance efficiency analysis, and data flow analysis may appear.
- Topic 4: Quality Characteristics for Technical Testing: This exam topic focuses on different quality features relevant to technical testing. It discusses portability, security, maintainability, and compatibility testing.
- Topic 5: Reviews: It sheds light on the role of Technical Test Analysts in reviews. The topic also focuses on the usage of checklists for different architectural and code reviews.
- Topic 6: Test Tools and Automation: This topic defines test automation projects. It also explains how to select automation approaches. Moreover, it explains specific test tools.
Free ISTQB CTAL-TTA Exam Actual Questions
Note: Premium Questions for CTAL-TTA were last updated On Oct. 15, 2026 (see below)
Which of the following does NOT contribute to a more effective review preparation by the Technical Test Analyst?
An effective review preparation by a Technical Test Analyst includes ensuring that participants are well-prepared and that they spend enough time on preparation, which can be managed by checking the rate (option A). The use of review checklists (option C) and providing review training (option D) are also methods that contribute to more effective review preparation. However, managing the logging rate (option B), or the number of defects logged per minute during the meeting, is not related to the preparation phase but rather to the defect detection and logging phase during the actual review meeting. It is not a preparation activity but a review execution activity.
Consider the following section of pseudo code and associated test Input data:
If withdrawal-amount <= amount-on-deposit then Set authorize-transaction = true
Else
If withdrawal-amount <= S100 AND preferred-customer = true then Set authorize-transaction = true
Else
Set authorize-transaction = false
Endif
Endif
Input data set #1
withdrawal-amount = 160
amount-on-deposit = 100
preferred-customer = true
Input data set #2
withdrawal-amount = 500
amount-on-deposit = 500
preferred-customer = false
Input data set #3
withdrawal-amount = 50
amount-on-deposit = 500
preferred-customer = false
What would be the decision coverage achieved if each of these test input data sets were run once?
To achieve decision coverage, each branch of the decision structure in the code must be executed at least once. The code snippet has three branches:
withdrawal-amount <= amount-on-deposit
withdrawal-amount <= $100 AND preferred-customer = true
Default case where the transaction is not authorized
Data set #1 triggers the second branch because the withdrawal amount is not less than the amount on deposit, but it is less than $100, and the user is a preferred customer.
Data set #2 triggers the first branch where the withdrawal amount is equal to the amount on deposit.
Data set #3 tests the condition where the withdrawal amount is less than the deposit amount, but the user is not a preferred customer, triggering the default case.
All decision branches are covered by these test cases, achieving 100% decision coverage.
Listed below are some possible findings from static analysis of a component containing approximately 1,000 lines of code. Which combination suggests that the component does NOT need refactoring for better maintainability?
A) Low measure of coupling.
B) Low measure of cohesion.
C) Low measure of commenting.
D) Low measure of complexity.
E) High measure of coupling.
F) High measure of cohesion.
G) High measure of commenting.
H) High measure of complexity.
When evaluating a component for maintainability, several metrics are considered:
Coupling: Refers to the degree of interdependence between software modules. Lower coupling is preferred for maintainability.
Cohesion: Refers to how closely related the responsibilities of a single module are. Higher cohesion within modules is preferred.
Commenting: Refers to the presence of comments within the code. While useful, excessive commenting is not necessarily an indicator of maintainability.
Complexity: Refers to the complexity of the code, often measured by metrics like cyclomatic complexity. Lower complexity is preferred.
Given these metrics:
d. Low measure of complexity: Indicates the code is simple and straightforward, which enhances maintainability.
f. High measure of cohesion: Indicates that modules have clear, well-defined responsibilities, enhancing maintainability.
h. High measure of complexity: This should generally be low for better maintainability, but in this context, the assumption is an erroneous inclusion in the preferred list.
Thus, the best combination suggesting that the component does NOT need refactoring for better maintainability is d, f, h.
The selection of metrics and their desired values are based on software engineering principles covered in the ISTQB CTAL-TTA syllabus, which emphasizes low complexity and high cohesion for maintainable software design.
Considering the following statements:
A) The data used for a test is held external to the automated script
B) The scope of an automated test suite is driven by the range of test data available
C) It uses a high-level language to separate the action to be performed on the test data from the test script
D) A spreadsheet is used to record the actions to be performed instead of the input data
Which of the following options is the correct selection of these statements to describe data-driven and keyword-driven automation?
Analysis:
Understanding the characteristics of data-driven and keyword-driven automation is crucial for identifying the correct statements.
Correct Pairing:
C . Data Driven = a; Keyword-driven = c:
Data Driven = a: 'The data used for a test is held external to the automated script' is a key characteristic of data-driven testing, where test data is stored separately from the test scripts, allowing the same script to run with different data sets.
Keyword-driven = c: 'It uses a high-level language to separate the action to be performed on the test data from the test script' is characteristic of keyword-driven testing, where keywords representing actions are used to describe test steps, separating the business logic from the test scripts.
Explanation of Incorrect Options:
A . Data Driven = a; Keyword-driven = d: Statement d does not accurately describe keyword-driven testing.
B . Data Driven = b; Keyword-driven = c: Statement b does not accurately describe data-driven testing.
D . Data Driven = d; Keyword-driven = d: Statement d is not accurate for either data-driven or keyword-driven testing.
The ISTQB CTAL-TTA syllabus and standard practices in test automation clearly differentiate between data-driven and keyword-driven testing methodologies.
Sources:
ISTQB-CTAL-TTA Syllabus
General knowledge on test automation methodologies.
The stakeholders in a new system want its mean time between failure to be three months or longer, with a mean time to repair the system of ten minutes or less when it does fail. When planning and specifying reliability tests to be performed before release, which ONE of the following is a factor that must be considered?
Analysis:
For a system to meet its reliability requirements, it must maintain a mean time between failure (MTBF) of three months or longer and a mean time to repair (MTTR) of ten minutes or less. When planning and specifying reliability tests, several factors must be considered to ensure these requirements are met.
Key Factor:
B . Determining the target availability for the system:
Availability is a critical factor that encompasses both the MTBF and MTTR. Availability is calculated based on the uptime and downtime of the system, which directly correlates with MTBF and MTTR. Determining the target availability helps ensure that the system can meet the required reliability standards by specifying acceptable levels of uptime and downtime.
Explanation of Incorrect Options:
A . Defining the replaceability requirements:
Replaceability pertains to the ease with which components can be replaced or updated. While important for maintainability, it is not the primary focus for reliability testing in this context.
C . Monitoring reliability in production:
Monitoring in production is important for ongoing reliability assessment but is not a primary consideration when planning and specifying tests before release.
D . Configuring a production-like test environment:
This is essential for accurate testing but is a logistical consideration rather than a direct factor in the reliability requirements.
The ISTQB CTAL-TTA syllabus and standard practices in reliability testing emphasize the importance of availability metrics in planning reliability tests.
Sources:
ISTQB-CTAL-TTA Syllabus
General knowledge on reliability testing and availability.
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