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ISTQB CT-PT Exam Syllabus Topics:

Topic
Details

Topic 1

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 2

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 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 (Q14-Q19):

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

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

Answer: D

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
Which of the following could lead to inconsistent performance test results?

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

Answer: A

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 # 16
Which of the following is an advantage of using performance monitoring tools?

A. They can prevent malicious behavior.
B. They more easily identify and report multi-threading problems.
C. They proactively compile metrics from server logs.
D. They can proactively detect denial-of-service (DoS) attacks.

Answer: C

Explanation:
Performance monitoring tools collect real-time and historical performance data, particularly from server logs, application metrics, and infrastructure monitoring. This allows testers to analyze performance trends efficiently.
Option A is incorrect because monitoring tools do not prevent malicious behavior but may detect it.
Option C is incorrect since identifying multi-threading issues is typically done through profiling tools rather than performance monitors.
Option D is incorrect as DoS attack detection falls under security testing.

NEW QUESTION # 17
At what point during performance testing does monitoring with the load testing tool begin?

A. When testing is concluded.
B. Before testing execution.
C. Simultaneously with test execution.
D. Immediately after test execution.

Answer: C

Explanation:
Performance monitoring must begin simultaneously with test execution to capture system behavior in real-time. This ensures that bottlenecks and performance issues are identified immediately.
Option A (After testing is concluded) is incorrect because historical monitoring does not help in real-time analysis.
Option B (Before execution) is incorrect because monitoring needs active system load to measure performance.
Option C (Immediately after execution) is incorrect because it misses runtime metrics.

NEW QUESTION # 18
Which of the following is the best description of spike testing?

A. It focuses on the ability of the system to handle loads that are gradually increased to reach the expected maximum.
B. It focuses on the ability of the system to respond to quick and extreme changes in load.
C. It focuses on the ability of the system to meet future efficiency requirements.
D. It focuses on the ability of the system to handle loads that are at or beyond the expected peak load.

Answer: B

Explanation:
Spike testing is a type of performance testing that evaluates how a system responds to sudden, extreme increases or decreases in load. It is designed to simulate unexpected surges in user activity or workload, such as flash sales, viral events, or cyberattacks.
Option A (Gradual load increase testing) describes load testing, not spike testing.
Option B (Handling expected peak load) describes stress testing, which pushes the system to or beyond its limits but does not focus on sudden changes.
Option C (Meeting future efficiency requirements) relates to capacity planning rather than spike testing.
Spike testing helps to identify system bottlenecks, resource allocation issues, and performance degradation when traffic surges unexpectedly.

NEW QUESTION # 19
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