IBM C1000-144 IBM Machine Learning Data Scientist v1 Online Training
IBM C1000-144 Online Training
The questions for C1000-144 were last updated at Feb 20,2025.
- Exam Code: C1000-144
- Exam Name: IBM Machine Learning Data Scientist v1
- Certification Provider: IBM
- Latest update: Feb 20,2025
How does IBM Garage Methodology suggest measuring success for an MVP?
- A . By the number of features implemented
- B . Through stakeholder satisfaction and feedback
- C . By comparing the MVP to competitor products
- D . Solely by financial metrics achieved
In assessing progress on the AI Ladder, which aspects should be considered? (Choose Two)
- A . The quality and accessibility of data
- B . The color palette of the user interface
- C . Integration capabilities with existing systems
- D . Branding and marketing strategies
When monitoring models in production, what aspect is crucial for maintaining long-term reliability?
- A . Regularly updating the user interface
- B . Ensuring the model is scalable to handle increased loads
- C . Reducing the number of inputs to the model
- D . Focusing solely on increasing model speed
Which feature engineering technique can be used to simplify models and improve interpretability?
- A . One-hot encoding categorical variables
- B . Normalizing continuous variables
- C . Removing correlated features
- D . Increasing the number of features
How does feature scaling benefit the process of exploratory data analysis?
- A . It changes the underlying data distribution
- B . It makes different variables comparable
- C . It simplifies the database management system
- D . It eliminates the need for data cleaning
For implementing dimensional reduction, which method would be most effective when dealing with highly nonlinear data?
- A . Linear Discriminant Analysis (LDA)
- B . PCA
- C . t-Distributed Stochastic Neighbor Embedding (t-SNE)
- D . Factor Analysis
What are two reasons a data point would be treated as an outlier?
- A . If the value is greater than mean
- B . If the value is greater than median
- C . If the value is greater than standard deviation
- D . If the value is below the upper end of the bottom quartile by more then 1.5 times the interquartile range
- E . If the value is above the lower end of the top quartile by more then 1.5 times the interquartile range
Which practice is least effective in configuring environments for training machine learning models?
- A . Using virtual environments to manage dependencies
- B . Using the latest but unstable software versions
- C . Regularly updating libraries to their stable versions
- D . Allocating resources based on model requirements
Why is logistic regression considered a linear classifier?
- A . Because it is only capable of linear regression tasks
- B . Because it uses a linear decision boundary to separate classes
- C . Because it applies a nonlinear transformation to the input features
- D . Because it computes the decision boundary using a non-linear optimization
What considerations should be made when evaluating the ethical implications of a business problem? (Choose Three)
- A . Potential for AI to replace human jobs
- B . Environmental impact of AI solutions
- C . Impact on company profit margins
- D . Consequences for user privacy and autonomy
- E . Speed of implementation
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