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ISTQB CT-PT Exam Syllabus Topics:
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NEW QUESTION # 13
Which type of performance test measures the system's ability to handle increasing levels of load?
- A. Endurance testing
- B. Spike testing
- C. Elevation testing
- D. Load testing
Answer: D
Explanation:
Load testing assesses a system's ability to handle gradually increasing levels of load and ensures that it meets performance expectations under normal and peak conditions.
Option B (Elevation testing) is incorrect because this term does not exist in ISTQB performance testing terminology.
Option C (Spike testing) focuses on sudden increases in load rather than gradual scaling.
Option D (Endurance testing) examines how a system performs over an extended period, rather than gradual load increases.
NEW QUESTION # 14
Which of the following is a typical performance risk associated with distributed architectures?
- A. Excess computer memory resources
- B. Inconsistent Bluetooth connectivity
- C. Unreliable or unpredictable remote servers
- D. A local hard disk that has been de-fragmented
Answer: C
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 # 15
Which of the following is a typical performance risk associated with mainframe architectures?
- A. Lack of RAM
- B. Inconsistent loads when accessed via APIs
- C. Misconfigured host machine
- D. Slow hard disk speed
Answer: D
Explanation:
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.
NEW QUESTION # 16
At what point during performance testing does monitoring with the load testing tool begin?
- A. When testing is concluded.
- B. Immediately after test execution.
- C. Before testing execution.
- D. Simultaneously with test execution.
Answer: D
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 # 17
Why is it important to specify how failures are handled during test execution?
- A. To ensure all defects are captured
- B. To meet the expectations of the business stakeholders
- C. To minimize distractions during testing
- D. To ensure that new failures are not introduced
Answer: D
Explanation:
During performance testing, it is crucial to define failure handling procedures to ensure that failures do not introduce additional errors into the test execution process. This helps maintain test accuracy and avoid misleading results.
Option A (Meeting stakeholder expectations) is important but not the primary reason for defining failure handling.
Option C (Capturing all defects) is a general testing principle, not specific to failure handling in performance tests.
Option D (Minimizing distractions) is not a valid reason for defining failure handling.
NEW QUESTION # 18
Which of the following can provide measurements for both individual and aggregated elements within a single performance test?
- A. Measuring underlying transactions
- B. Process optimization tracking
- C. Aggregated metrics
- D. Nested transactions
Answer: D
Explanation:
Nested transactions allow performance tests to capture both individual and aggregated elements by grouping multiple related transactions and measuring their cumulative impact.
Option A (Aggregated metrics) provides summaries but lacks insight into individual elements.
Option B (Process optimization tracking) focuses on business process improvement, not test metrics.
Option C (Measuring underlying transactions) focuses only on individual transactions.
NEW QUESTION # 19
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 requirements phase when the business stakeholders have the opportunity to agree
- B. At the very beginning of the project during the concept stage
- C. During the software design phase when the requirements are set and the design is being defined
- D. After test readiness has been achieved, but before system testing starts
Answer: A
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 # 20
What is an advantage of aggregating the results of performance testing?
- A. Aggregated results show when testing has been completed.
- B. It is easier for stakeholders to draw a correct conclusion from aggregated results.
- C. Aggregated results provide more detail and allow for a more complete analysis of the test.
- D. Testing is expedited when the results are aggregated.
Answer: B
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 # 21
What challenge must be considered when using crowds to emulate load generation?
- A. The load generation will be difficult to reproduce.
- B. This type of load generation is more suitable for mainframe applications.
- C. This technique is more precise than other methods of load generation.
- 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 # 22
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 can proactively detect denial-of-service (DoS) attacks.
- D. They proactively compile metrics from server logs.
Answer: D
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 # 23
Which of the following is the most economical solution to minimize costs and time for performance testing for a high-end production client-server platform?
- A. Cloud-based environment
- B. Isolated lab environment
- C. No environment
- D. Mainframe environment
Answer: A
Explanation:
A cloud-based environment is the most cost-effective solution for performance testing. It offers scalability, pay-per-use models, and flexibility, allowing testers to simulate large workloads without expensive infrastructure investments.
Option A (Isolated lab environment) is costly due to hardware maintenance and infrastructure costs.
Option C (Mainframe environment) is expensive and impractical for performance testing.
Option D (No environment) is not a viable option.
NEW QUESTION # 24
What should be captured for batch processing performance metrics?
- A. Number of records deleted
- B. Throughput and wait times
- C. Average percentage of network latency
- D. Number of concurrent virtual users
Answer: B
Explanation:
For batch processing performance metrics, the two most important factors are:
Throughput - Measures the number of transactions processed over time.
Wait times - Evaluates delays in processing batches.
Option B (Number of records deleted) is irrelevant unless batch processing specifically involves deletions.
Option C (Network latency percentage) applies to real-time transaction processing, not batch jobs.
Option D (Concurrent virtual users) applies more to load testing rather than batch performance.
NEW QUESTION # 25
How does a load management console aid performance testing?
- A. It emulates virtual users.
- B. It simulates user behavior.
- C. It provides reports and graphs for analysis.
- D. It enables senior management to monitor testing.
Answer: C
Explanation:
A load management console is a tool that helps testers analyze and visualize test results, providing performance reports, graphs, and insights. This aids in understanding bottlenecks, response times, and throughput trends.
Option A (Simulating user behavior) is incorrect; load generators handle simulation.
Option B (Senior management monitoring) is not the primary role of a test console.
Option D (Emulating virtual users) is incorrect; that is the job of load injectors.
NEW QUESTION # 26
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 evaluates the system's ability to handle loads beyond its design limits.
- D. It determines the maximum number of transactions a system can handle.
Answer: C
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 # 27
Stakeholders were unhappy with previous performance test results, which indicated that the adjustments were not made fast enough and engine stall was probable. The developers have now made changes that they believe will significantly improve the performance of the adjustments.
What should you do to ensure the performance test objectives have been properly defined before you run the next set of performance tests?
- A. Adjust stakeholder expectations to be more aligned with the reality of the previous test results.
- B. Understand the delta between the results from previous performance tests and the results from the expected performance improvements.
- C. Realign performance test objectives with all stakeholders to meet time-to-market goals.
- D. Realign performance test objectives with business stakeholders to meet project milestone dates.
Answer: B
Explanation:
Before running the next set of performance tests, it is crucial to understand the differences (delta) between the previous test results and the expected improvements. This ensures that:
The changes made by developers are properly validated.
Performance objectives are aligned with measurable improvements.
Option B (Adjust stakeholder expectations) is incorrect, as performance testing should focus on real data rather than adjusting expectations.
Option C and D (Realign objectives for milestones or time-to-market goals) are incorrect because test objectives should focus on technical accuracy rather than schedule constraints.
NEW QUESTION # 28
Which of the following is typically the result of oversaturation of system resources during performance testing?
- A. Response time will gradually improve over a period of time.
- B. The size of the database will gradually decrease.
- C. Error logging will 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 # 29
Which of the following performance script types measures network response times?
- A. GUI scripts
- B. Protocol-level scripts
- C. HTTP scripts
- D. API scripts
Answer: B
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 # 30
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