Most Recent ISTQB CT-PT Exam Dumps

A ramp-up period in a performance test gradually increases load over time, and a ramp-down period does the opposite. This prevents sudden surges in system load, making test results more realistic.

Option A (Ensuring transactions complete in a time window) is incorrect because ramp-up/down periods do not control transaction timing.

Option C (Providing a buffer for slow transactions) is incorrect because ramp-up/down is about load balancing, not transaction timing.

Option D (Keeping all virtual users active throughout the test) is incorrect because ramp-down periods reduce users gradually.

One of the biggest contributors to unreliable performance projections is differences between the test and production environments. If test environments do not match CPU, memory, network configurations, and database setups in production, the results may not be representative of real-world performance.

Option A (Redundancy between test and production environments) is not a problem; it's actually beneficial for reliability.

Option B (Disagreement between stakeholders) can affect planning but does not cause unreliable projections.

Option D (Unrealistic stakeholder goals) affects expectations but not the accuracy of projections.

One of the key performance risks in mainframe architectures is slow hard disk speed, which can impact transaction processing, batch jobs, and database access times.

Option A (Inconsistent loads via APIs) is more relevant to distributed or cloud architectures rather than mainframes.

Option C (Misconfigured host machine) is a configuration issue, not a typical performance risk.

Option D (Lack of RAM) is less common in mainframes, which typically use optimized memory management.

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.

One of the best practices in performance test scripting is to validate that correct data is recorded in the database after execution. This ensures that performance issues do not impact data integrity.

Option A (Increasing the number of scripts) may provide more coverage but does not verify accuracy.

Option C (Adding transaction timers) is useful for performance monitoring but does not ensure correct data entry.

Option D (Holding the development team accountable) is a management responsibility, not a scripting best practice.