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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 Aug. 28, 2026 (see below)
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.
The last release of a hotel booking website resulted in poor system performance when hotel searches reached peak volumes. To address these problems in the forthcoming release, changes to the system architecture are to be implemented as follows:
Change 1 - Provision of a single Internet service using multiple servers, rather than a single server, to maximize throughput and minimize response time during peak volumes
Change 2 - Prevention of unnecessary database calls for objects that were not immediately needed by the calling applications. Achieved by not automatically creating database connections at the start of processing, instead only just before the data is required.
The system architecture document has been drafted and as Technical Test Analyst you have been invited to participate in its review. Which of the following review checklist items is MOST likely to identify any defects in the proposed system architecture for Change 1?
Analysis:
For Change 1, which involves using multiple servers to maximize throughput and minimize response time, the key concern is how the load is distributed across these servers.
B . Load balancing:
Load balancing is the process of distributing network or application traffic across multiple servers to ensure no single server becomes overwhelmed. It is crucial for maximizing throughput and minimizing response times, particularly during peak volumes.
Explanation of Incorrect Options:
A . Connection pooling:
This is related to managing database connections efficiently but is not directly relevant to distributing web server traffic.
C . Distributed processing:
This refers to dividing processing tasks across multiple processors or machines but is not specific to managing web server load.
D . Caching:
Caching helps improve performance by storing frequently accessed data in memory, reducing the need to retrieve it from the database, but it does not address load distribution across servers.
The ISTQB CTAL-TTA syllabus and standard practices in reviewing system architecture emphasize the importance of load balancing for managing server traffic and ensuring optimal performance during peak loads.
Sources:
ISTQB-CTAL-TTA Syllabus
General knowledge on system architecture and load balancing.
A unit test should be deterministic. Which option correctly describes the meaning of 'deterministic' as a characteristic of a unit test9
SELECT ONE OPTION
A unit test being 'deterministic' means that whenever it is run under the same conditions, it should produce the same results. This characteristic is crucial for reliable, repeatable testing outcomes that are not influenced by external factors or previous test states .
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