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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

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 3

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 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 (Q20-Q25):

NEW QUESTION # 20
What is typically the result of oversaturation of system resources during performance testing?

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

Answer: C

Explanation:
When system resources are oversaturated (e.g., CPU, RAM, or network bandwidth), response times will degrade because the system struggles to process requests efficiently. This is a key performance bottleneck indicator.
Option A is incorrect because response times do not improve under heavy load; they typically worsen.
Option C is incorrect because error logging may actually increase rather than decrease under stress.
Option D is incorrect because database size is independent of system saturation unless records are actively purged.

NEW QUESTION # 21
What should be captured for batch processing performance metrics?

A. Average percentage of network latency
B. Throughput and wait times
C. Number of records deleted
D. Number of concurrent virtual users

Answer: B

Explanation:
For batch processing performance metrics, the two most important factors are:
Throughput - Measures the number of transactions processed over time.
Wait times - Evaluates delays in processing batches.
Option B (Number of records deleted) is irrelevant unless batch processing specifically involves deletions.
Option C (Network latency percentage) applies to real-time transaction processing, not batch jobs.
Option D (Concurrent virtual users) applies more to load testing rather than batch performance.

NEW QUESTION # 22
You have run a load test. When examining the metrics, you see that the virtual users experienced many timeouts and excessive wait times. The system throughput metrics exceeded expected results, even during peak times.
Based on your analysis, what conclusion should you draw?

A. Virtual users are exhibiting impatient behavior.
B. Network infrastructure should be investigated.
C. Processing speed is too slow.
D. New test data is needed.

Answer: C

Explanation:
If timeouts and excessive wait times occur, but throughput is high, this suggests that the system is unable to process requests fast enough. This points to slow processing speed due to CPU bottlenecks, memory limitations, or inefficient database queries.
Option A (Network infrastructure investigation) would be relevant if throughput was low or variable.
Option C (Impatient virtual users) is irrelevant; virtual users follow scripted behaviors.
Option D (New test data) does not address the core issue.

NEW QUESTION # 23
What challenge must be considered when using crowds to emulate load generation?

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

Answer: A

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 # 24
You are managing a project that is testing a system that manages a newly redesigned jet engine for heavy aircraft. Given the fact that this engine is specifically engineered to reduce noise, it is important that the software maintains enough thrust for lift for a period of 5 minutes without exceeding 87.5dB. The software must achieve this independent of other internal systems such as fuel or navigation management.
Given the risk for the ability of the aircraft to meet the noise abatement regulations while still being able to fly, when is the optimum time in the software lifecycle to apply the performance testing?

A. Preferably during each phase in the lifecycle
B. Preferably during system integration testing
C. Preferably at the end of system testing
D. Preferably at the end of unit testing

Answer: A

Explanation:
Performance testing should be integrated into every phase of the software lifecycle to ensure that critical performance requirements (such as thrust-to-noise ratio) are met early and continuously validated.
Option B (End of system testing) is too late, as issues may be costly to fix at that stage.
Option C (During system integration testing) is useful but not comprehensive enough.
Option D (At the end of unit testing) is incorrect because unit tests do not assess overall system performance.

NEW QUESTION # 25
......

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