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ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:

1. Upon testing a model used to detect rotten tomatoes, the following data was observed by the test engineer, based on certain number of tomato images.

For this confusion matrix which combinations of values of accuracy, recall, and specificity respectively is CORRECT?
SELECT ONE OPTION

A) 0.84.1,0.9
B) 1,0.87,0.84
C) 0.87.0.9. 0.84
D) 1,0.9, 0.8

2. Which ONE of the following options BEST DESCRIBES clustering?
SELECT ONE OPTION

A) Clustering is supervised learning.
B) Clustering requires you to know the classes.
C) Clustering is classification of a continuous quantity.
D) Clustering is done without prior knowledge of output classes.

3. "Splendid Healthcare" has started developing a cancer detection system based on ML. The type of cancer they plan on detecting has 2% prevalence rate in the population of a particular geography. It is required that the model performs well for both normal and cancer patients.
Which ONE of the following combinations requires MAXIMIZATION?
SELECT ONE OPTION

A) Maximize specificity number of classes
B) Maximize accuracy and recall
C) Maximize precision and accuracy
D) Maximize recall and precision

4. A system was developed for screening the X-rays of patients for potential malignancy detection (skin cancer).
A workflow system has been developed to screen multiple cancers by using several individually trained ML models chained together in the workflow.
Testing the pipeline could involve multiple kind of tests (I - III):
I.Pairwise testing of combinations
II.Testing each individual model for accuracy
III.A/B testing of different sequences of models
Which ONE of the following options contains the kinds of tests that would be MOST APPROPRIATE to include in the strategy for optimal detection?
SELECT ONE OPTION

A) Only III
B) I and II
C) Only II
D) I and III

Solutions: