EMT Practice Test

1. Question Content...


Question List

Question1: Which test is applied to determine the relationship between two categorical variables?

Question2: Which situation would disqualify a machine learning system from being used for a particular use case?

Question3: When should median value be used instead of mean value for imputing missing data?

Question4: What is meant by the curse of dimensionality?

Question5: A neural network is composed of a first affine transformation (affine1) followed by a ReLU non-linearity, followed by a second affine transformation (affine2).
Which two explicit functions are implemented by this neural network? (Choose two.)

Question6: What is the main difference between traditional programming and machine learning?

Question7: What is the primary role of a data steward?

Question8: What is meant by part-of-speech tagging in the context of text analytics?

Question9: Which distance is applied for multivariate outlier detection?

Question10: Given the following matrix multiplication:

What is the value of P?

Question11: Which is an example of a nominal scale data?

Question12: What are two methods used to detect outliers in structured data? (Choose two.)

Question13: Given the following sentence:
The dog jumps over a fence.
What would a vectorized version after common English stopword removal look like?

Question14: A data analyst creates a term-document matrix for the following sentence: I saw a cat, a dog and another cat.
Assuming they used a binary vectorizer, what is the resulting weight for the word cat?

Question15: Considering one ML application is deployed using Kubernetes, its output depends on the data which is constantly stored in the model, if needing to scale the system based on available CPUs, what feature should be enabled?

Question16: What statement is true about UTF-8?

Question17: With the help of AI algorithms, which type of analytics can help organizations make decisions based on facts and probability-weighted projections?

Question18: What is used to scale large positive values during data cleaning?

Question19: In a hyperparameter search, whether a single model is trained or a lot of models are trained in parallel is largely determined by?

Question20: What is the first step in creating a custom model in Watson Visual Recognition service?

Question21: What is the best step by step order for machine learning pipeline?

Question22: What is the main difference between traditional programming and machine learning?