IBM AI Enterprise Workflow V1 Data Science Specialist

QUESTION NO: 1
In machine vision, the algorithm for detecting objects or features in an image based on a target pattern is known as?

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

Correct Answer: C

QUESTION NO: 2
The least squares optimization technique (The Method of Least Squares) is used in which algorithm?

A. Naive Bayes classification B. Logistic regression C. Support Vector Machines D. Linear regression

Correct Answer: D

QUESTION NO: 3
With the help of AI algorithms, which type of analytics can help organizations make decisions based on facts and probability-weighted projections?

A. predictive analytics B. descriptive analytics C. cognitive analytics D. prescriptive analytics

Correct Answer: D

QUESTION NO: 4
What is the main difference between traditional programming and machine learning?

A. Machine learning takes full advantage of SDKs and APIs. B. Machine learning does not require explicit coding of decision logic. C. Machine learning is optimized to run on parallel computing and cloud computing. D. Machine learning models take less time to train.

Correct Answer: B

QUESTION NO: 5
Which is a preferred approach for simplifying the data transformation steps in machine learning model management and maintenance?

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

Correct Answer: D

QUESTION NO: 6
Which algorithm is best suited if a client needs full explainability of the machine learning model?

A. support vector machine (SVM) B. recurrent neural network C. decision tree D. logistic regression

Correct Answer: C

QUESTION NO: 7
Which is the most important thing to ensure while collecting data?

A. samples collected are all strongly correlated with each other B. samples collected are skewed with each other C. samples collected focus only on the most common cases D. samples collected adequately cover the space of all possible scenarios

Correct Answer: B

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