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CT-PT Exam Vce Free & Exam CT-PT Experience

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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 (Q28-Q33):

NEW QUESTION # 28
Which of the following is a typical performance risk associated with distributed architectures?

A. Unreliable or unpredictable remote servers
B. Excess computer memory resources
C. A local hard disk that has been de-fragmented
D. Inconsistent Bluetooth connectivity

Answer: A

Explanation:
A key risk in distributed systems is unreliable remote servers, which can lead to latency, timeouts, and failures in performance testing.
Option A (Hard disk de-fragmentation) is not a significant risk in distributed systems.
Option B (Excess memory) is a positive factor, not a risk.
Option D (Bluetooth connectivity) is unrelated to distributed system performance.

NEW QUESTION # 29
What is an advantage of aggregating the results of performance testing?

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

Answer: D

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 # 30
What challenge must be considered when using crowds to emulate load generation?

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

Answer: C

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 # 31
You are heading the testing effort for a system that manages the air/fuel ratio of direct-injection fuel devices built specifically for high-altitude rescue helicopter engines. At altitude, the system must be able to perform in order to make enough air/fuel ratio adjustments per millisecond between fuel and both an on-board source and available ambient air in order to prevent an engine stall due to oxygen starvation. The system is following a sequential development lifecycle.
For this safety-critical software, when is the appropriate point in the lifecycle to identify and define the performance goals?

A. During the software design phase when the requirements are set and the design is being defined
B. After test readiness has been achieved, but before system testing starts
C. During the requirements phase when the business stakeholders have the opportunity to agree
D. At the very beginning of the project during the concept stage

Answer: C

Explanation:
For safety-critical software, performance goals must be identified as early as the requirements phase. This ensures that performance constraints are well understood and accounted for throughout development.
Option A (After test readiness but before system testing) is too late, as requirements should be defined before coding begins.
Option C (During the concept stage) is too early, as details may not be concrete.
Option D (During software design) is useful but should be preceded by a proper definition during the requirements phase.

NEW QUESTION # 32
Which of the following is a typical performance risk associated with mobile, browser-based, and embedded real-time architectures?

A. Misconfigured host machine
B. Slow hard disk speed
C. Internet connectivity issues
D. Unexpected loads due to API accessibility

Answer: D

Explanation:
Mobile and browser-based applications often rely on APIs for data retrieval and processing. Unexpected API load can cause latency issues, bottlenecks, and system crashes.
Option A (Hard disk speed) is not a major issue in cloud-based or mobile systems.
Option B (Misconfigured host machine) affects on-premise systems, not mobile/browser-based applications.
Option D (Internet connectivity issues) is a user-side issue, not a system performance risk.

NEW QUESTION # 33
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