C1000-059 by IBM Valid Free Exam Practice Test

Question 1

What is a class of machine learning problems where the algorithm is given feedback in the form of positive or negative reward in a dynamic environment?

A. reinforcement learning B. reward learning C. feedback-based optimization D. dynamic programming

Correct Answer: A

Question 2

Which two statements are correct about deploying machine learning models? (Choose two.)

A. It is critical for achieving high accuracy in training. B. It is only possible on the cloud because they require a large amount of compute resources. C. It is a necessary step in training and evaluating the performance of the models. D. It allows integration within business applications. E. It makes it possible to create reports for management dynamically using specific parameters from executives.

Correct Answer: A,C

Question 3

Which statement defines p-value?

A. It is the probability of accepting a null hypothesis when the hypothesis is proven true. B. It is the probability of rejecting a null hypothesis when the hypothesis is proven false. C. It is the probability of accepting a null hypothesis when the hypothesis is proven false. D. It is the probability of rejecting a null hypothesis when the hypothesis is proven true.

Correct Answer: C

Question 4

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?

A. 3 B. 2 C. 0 D. 1

Correct Answer: D

Question 5

Which distance is applied for multivariate outlier detection?

A. Euclidean distance B. Minkowski distance C. Manhattan distance D. Mahalanobis distance

Correct Answer: D

Question 6

In machine vision, the algorithm for detecting objects or features in an image based on a target pattern is known as?

A. OCR B. Fourier transform C. normalized correlation D. Hough transformation

Correct Answer: C

Question 7

Which is a preferred approach for simplifying the data transformation steps in machine learning model management and maintenance?

A. Apply a limited number of data transformation steps from a pre-defined catalog of possible operations independent of the machine learning use case. B. Implement data transformation, feature extraction, feature engineering, and imputation algorithms in one single pipeline. C. Do not apply any data transformation or feature extraction or feature engineering steps. D. Leverage only deep learning algorithms.

Correct Answer: C

IBM AI Enterprise Workflow V1 Data Science Specialist - C1000-059 Exam Practice Test