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Pass Guaranteed Quiz 2025 ISTQB High Pass-Rate CT-PT Exam Topics

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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.

ISTQB Certified Tester - Performance Testing Sample Questions (Q34-Q39):

NEW QUESTION # 34
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 # 35
What challenge must be considered when using crowds to emulate load generation?

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

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 # 36
Which of the following performance script types measures network response times?

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

Answer: C

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 # 37
Which of the following is typically the result of oversaturation of system resources during performance testing?

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

Answer: C

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 # 38
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. Processing speed is too slow.
B. New test data is needed.
C. Network infrastructure should be investigated.
D. Virtual users are exhibiting impatient behavior.

Answer: A

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 # 39
......

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Owen White Owen White

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