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ISQI CT-AI_v1.0_World 考試概覽:
| 認證廠商: | iSQI / ISTQB |
|---|---|
| 考試名稱: | ISTQB 認證測試專家人工智慧測試 (v1.0) |
| 考試代碼: | CT-AI_v1.0_World |
| 實際考試題數: | 40 |
| 考試形式: | 選擇題 |
| 及格分數: | 65%（31/47 分） |
| 支援語言: | 其他地區語言，依實際供應情況而定, 英文, 葡萄牙文, 法文 |
| 考試費用: | 250 美元 |
| 考試時間: | 60-75 |
| 相關認證: | ISTQB Certified Tester Foundation Level (CTFL) |
| 證照有效期限: | 終身有效 |
| 範例考題: | ISQI CT-AI_v1.0_World 範例考題 |
| 考試方式: | 可於 Pearson VUE 考試中心應考，或透過 iSQI FLEX 遠端監考方式進行電腦化測驗。 |
| 必備條件: | 考生須持有有效之 ISTQB Certified Tester Foundation Level (CTFL) 認證。 |
| 官方大綱網址: | https://isqi.org/ISTQB-Certified-Tester-AI-Testing-v1.0-CT-AI/CT-AI.157 |
ISQI CT-AI_v1.0_World 考試大綱主題:
| 章節 | 目標 |
|---|---|
| 主題 1: 人工智慧系統的品質特性 | - 人工智慧專屬的品質屬性
|
| 主題 2: 運用人工智慧輔助測試作業 | - 人工智慧輔助測試
|
| 主題 3: 機器學習類神經網路與測試 | - 類神經網路
|
| 主題 4: 機器學習功能效能指標 | - 效能評估
|
| 主題 5: 人工智慧系統的測試環境 | - 人工智慧測試基礎架構
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| 主題 6: 人工智慧系統的測試方法與技術 | - 測試設計技術
|
| 主題 7: 機器學習 | - 機器學習基礎知識
|
| 主題 8: 人工智慧專屬品質特性的測試 | - 品質驗證
|
| 主題 9: 機器學習資料 | - 資料品質
|
| 主題 10: 人工智慧系統測試概論 | - 人工智慧測試基礎知識
|
| 主題 11: 人工智慧簡介 | - 人工智慧基礎知識
|
最新的 AI Testing CT-AI_v1.0_World 免費考試真題：
Which ONE of the following describes a situation of back-to-back testing the LEAST?
SELECT ONE OPTION
- A. Comparison of the results of a current neural network model ML model implemented in platform A (for example Pytorch) with a similar neural network model ML model implemented in platform B (for example Tensorflow), for the same data.
- B. Comparison of the results of a home-grown neural network model ML model with results in a neural network model implemented in a standard implementation (for example Pytorch) for same data
- C. Comparison of the results of the current neural network ML model on the current data set with a slightly modified data set.
- D. Comparison of the results of a neural network ML model with a current decision tree ML model for the same data.
答案：D 🗳️
說明：（僅 VCESoft 成員可見）
"AllerEgo" is a product that uses sell-learning to predict the behavior of a pilot under combat situation for a variety of terrains and enemy aircraft formations. Post training the model was exposed to the real- world data and the model was found to bebehaving poorly. A lot of data quality tests had been performed on the data to bring it into a shape fit for training and testing.
Which ONE of the following options is least likely to describes the possible reason for the fall in the performance, especially when considering the self-learning nature of the Al system?
SELECT ONE OPTION
- A. The unknown nature and insufficient specification of the operating environment might have caused the poor performance.
- B. There was an algorithmic bias in the Al system.
- C. The fast pace of change did not allow sufficient time for testing.
- D. The difficulty of defining criteria for improvement before the model can be accepted.
答案：D 🗳️
說明：（僅 VCESoft 成員可見）
Which ONE of the following statements correctly describes the importance of flexibility for Al systems?
SELECT ONE OPTION
- A. Al systems are inherently flexible.
- B. Al systems require changing of operational environments; therefore, flexibility is required.
- C. Self-learning systems are expected to deal with new situations without explicitly having to program for it.
- D. Flexible Al systems allow for easier modification of the system as a whole.
答案：D 🗳️
說明：（僅 VCESoft 成員可見）
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我發現你們網站的考古題是有效的，這對于正在準備CT-AI_v1.0_World考試的人來說，是一件好事，現在的我已經通過了考試，謝謝！