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IBM C1000-154 Exam Syllabus Topics:

IBM Watson Data Scientist v1 Sample Questions:

1. Understanding how to use libraries in Python within a deployment environment is essential for:

A) Increasing the complexity and maintenance cost of the deployed solution
B) Deploying models that are incompatible with the deployment environment
C) Leveraging specific functionalities for data analysis, manipulation, and model building
D) Ensuring that all models are developed without any external libraries

2. When helping businesses articulate and define problems, what is an essential first step?

A) Identifying potential data sources
B) Establishing a clear problem statement
C) Selecting the analytical techniques
D) Defining key performance indicators (KPIs)

3. An E-retailer uses several important data sources, including web logs which contain all of the information on how customers navigate the web site. There are non-informative entries in the web logs that need to be removed.
During which phase should these non-informative entries be removed in the CRISP-DM model?

A) Data Understanding
B) Business Understanding
C) Modeling
D) Data Preparation

4. Which statistical method reduces the number of attributes by lumping highly correlated attributes together?

A) Long Short Term Memory Network (LSTM)
B) Binning
C) Synthetic Minority Over-sampling Technique (SMOTE)
D) Principal Component Analysis (PCA)

5. A model's performance is not solely dependent on its accuracy but also on:

A) The color of the visualization charts
B) Metrics like precision, recall, and F1 score
C) The number of features selected
D) The choice of programming language

Solutions: