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ISTQB CT-PT Exam Syllabus Topics:

Topic
Details

Topic 1

The Concept of Load Generation: This section of the exam measures the skills of Software Test Analysts and discusses how representative loads are modeled and produced to simulate user or process behavior. It explores methods such as user interface inputs, crowdsourcing, API-based calls, or protocol capture and playback, emphasizing the need for repeatable loads that accurately reflect real-world conditions.

Topic 2

Common Failures in Performance Testing and Their Causes: This section of the exam measures the skills of Performance Engineers and outlines frequent failure modes, including slow responses at various load levels, degraded performance over time, and system crashes under peak conditions. It provides examples of underlying causes such as resource leaks, insufficient capacity, and poor handling of spikes or concurrency, illustrating why robust planning and monitoring are crucial for reliable performance.

Topic 3

Testing Types in Performance Testing: This section of the exam introduces the distinction between static and dynamic performance testing. It shows how reviews of requirements, architecture, and code can identify risks before coding is complete, and how runtime checks of resource utilization and response times reveal issues that only appear when the system is in operation.

Topic 4

Types of Performance Testing: This section of the exam measures the skills of Software Test Analysts and covers various approaches such as load, stress, scalability, spike, endurance, concurrency, and capacity testing. It explains how each type evaluates system behavior under different conditions, helping testers and stakeholders understand how the system handles both expected and extreme usage scenarios.

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ISTQB Certified Tester - Performance Testing Sample Questions (Q11-Q16):

NEW QUESTION # 11
Which of the following is a major contributor to unreliable performance projections?

A. Disagreement between the technical and business stakeholders during analysis
B. Differences in the hardware between the test and production environments
C. Business stakeholders setting unrealistic performance goals
D. Redundancy between the test and production environments

Answer: B

Explanation:
One of the biggest contributors to unreliable performance projections is differences between the test and production environments. If test environments do not match CPU, memory, network configurations, and database setups in production, the results may not be representative of real-world performance.
Option A (Redundancy between test and production environments) is not a problem; it's actually beneficial for reliability.
Option B (Disagreement between stakeholders) can affect planning but does not cause unreliable projections.
Option D (Unrealistic stakeholder goals) affects expectations but not the accuracy of projections.

NEW QUESTION # 12
When following the principal performance testing activities, when are resources allocated?

A. During test execution
B. During test evaluation
C. During test completion
D. During test planning

Answer: D

Explanation:
Resource allocation happens during the test planning phase, where hardware, tools, and personnel are assigned to the project. This ensures that performance tests are adequately supported.
Option B (Test execution) is when resources are actually used, not allocated.
Option C (Test evaluation) happens after execution to analyze results.
Option D (Test completion) focuses on documentation and reporting.

NEW QUESTION # 13
What is an advantage of aggregating the results of performance testing?

A. Testing is expedited when the results are aggregated.
B. Aggregated results show when testing has been completed.
C. It is easier for stakeholders to draw a correct conclusion from aggregated results.
D. Aggregated results provide more detail and allow for a more complete analysis of the test.

Answer: C

Explanation:
Aggregating test results helps stakeholders understand performance trends by combining data points from multiple test runs. This makes it easier to draw conclusions about system behavior.
Option A is incorrect because aggregation may reduce detailed visibility, not increase it.
Option B is incorrect because aggregation does not expedite testing itself.
Option D is incorrect because aggregated results do not indicate test completion.

NEW QUESTION # 14
Which of the following is typically the result of oversaturation of system resources during performance testing?

A. Response time will gradually improve over a period of time.
B. Response time will be slow under significant load levels.
C. Error logging will decrease.
D. The size of the database will gradually decrease.

Answer: B

Explanation:
When system resources (e.g., CPU, RAM, I/O) are oversaturated, the system becomes overloaded, leading to increased response times and poor application performance.
Option A (Gradual improvement of response time) is incorrect because performance degrades under heavy load.
Option C (Error logging decreases) is unlikely; in most cases, errors increase when systems reach their limits.
Option D (Database size decreases) is unrelated to performance saturation.

NEW QUESTION # 15
What challenge must be considered when using crowds to emulate load generation?

A. This technique is more precise than other methods of load generation.
B. The load generation method is less sensitive to changes in the system under test.
C. This type of load generation is more suitable for mainframe applications.
D. The load generation will be difficult to reproduce.

Answer: D

Explanation:
Crowd-based load generation relies on real users from different locations, making test conditions highly variable. This makes it difficult to reproduce the same test scenario multiple times under identical conditions.
Option B (Less sensitive to changes) is incorrect because crowd-based load is highly sensitive to external conditions (network, device types, etc.).
Option C (Suitable for mainframe applications) is incorrect because crowd-based load testing is typically used for web and cloud applications, not mainframes.
Option D (More precise than other methods) is incorrect because crowd-based load testing lacks precision due to real-world inconsistencies.

NEW QUESTION # 16
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