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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

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.

Topic 4

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.

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ISTQB Certified Tester - Performance Testing Sample Questions (Q20-Q25):

NEW QUESTION # 20
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. New test data is needed.
B. Network infrastructure should be investigated.
C. Virtual users are exhibiting impatient behavior.
D. Processing speed is too slow.

Answer: D

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 # 21
Which of the following performance script types measures network response times?

A. Protocol-level scripts
B. GUI scripts
C. API scripts
D. HTTP scripts

Answer: A

Explanation:
Protocol-level scripts measure the actual response times of network requests, making them ideal for analyzing network latency, bandwidth issues, and server response times.
Option A (GUI scripts) measure user interactions, not network timing.
Option B (API scripts) measure API interactions but do not provide detailed network response time analysis.
Option C (HTTP scripts) measure web requests but lack low-level network insights.

NEW QUESTION # 22
Which of the following is considered a characteristic of stress testing?

A. Considers the system's ability to recover from a sudden increase of loads within the system's limits.
B. It focuses on the system's ability to handle transactions over a specific timeframe.
C. It determines the maximum number of transactions a system can handle.
D. It evaluates the system's ability to handle loads beyond its design limits.

Answer: D

Explanation:
Stress testing is designed to evaluate how a system behaves under extreme conditions, often exceeding its design limitations. The goal is to identify bottlenecks, memory leaks, and failures that occur beyond normal operating conditions.
Option A is incorrect because it refers to resilience testing, which focuses on recovery rather than stress beyond limits.
Option B is incorrect as it describes load testing, which measures performance under expected loads.
Option C is incorrect since determining the maximum transactions is a feature of capacity testing, not stress testing.

NEW QUESTION # 23
Which of the following could lead to inconsistent performance test results?

A. Concurrent scripts running and attempting to access the same data.
B. Virtual users running the same script while logged in as the same user.
C. Expected results were not verified with senior management.
D. Sequential scripts running and attempting to access the same data.

Answer: B

Explanation:
If multiple virtual users execute the same script while logged in as the same user, it can cause data conflicts, session collisions, or cache interference, leading to inconsistent performance test results.
Option A (Concurrent scripts accessing the same data) may cause data locking issues, but this is a test setup concern rather than an inconsistency issue.
Option B (Sequential scripts accessing the same data) does not typically cause inconsistencies since they execute in order.
Option D (Verification with management) is unrelated to technical inconsistencies.

NEW QUESTION # 24
Which of the following should be a key part of your test acceptance criteria in your performance test plan?

A. Documenting previously baselined performance metrics in order to compare these to the new performance measurements
B. Describing the system under test in order to provide context to the metrics
C. Convincing technical and business stakeholders to provide realistic performance goals for the regional servers
D. Highlighting any technical differences in the hardware between the test environment and the production environment

Answer: D

Explanation:
One of the most critical test acceptance criteria in performance testing is to ensure that the hardware in the test environment is comparable to production. Differences in CPU, memory, disk I/O, or network infrastructure can distort performance results.
Option A (Convincing stakeholders to set goals) is a planning activity, not an acceptance criterion.
Option B (Describing the system under test) is important but does not directly affect test acceptance.
Option D (Comparing baselined metrics) is useful, but without a comparable test environment, baseline metrics may be misleading.

NEW QUESTION # 25
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