IBM C1000-177 Foundations of Data Science using IBM watsonx Online Training
IBM C1000-177 Online Training
The questions for C1000-177 were last updated at Feb 20,2025.
- Exam Code: C1000-177
- Exam Name: Foundations of Data Science using IBM watsonx
- Certification Provider: IBM
- Latest update: Feb 20,2025
Why is it important to create hypotheses about the behavior of the AI system?
- A . It simplifies the coding process for developers
- B . It helps predict and mitigate potential risks associated with the system
- C . It is primarily for marketing purposes
- D . It fulfills a legal requirement for AI development
In the context of machine learning, what does the term ‘model drift’ refer to?
- A . The migration of the model from one server to another
- B . The change in model parameters due to new updates
- C . The change in model performance due to changes in underlying data patterns
- D . The physical movement of the hardware running the model
Which approach is recommended for prioritizing business opportunities when planning an MVP?
- A . Choosing the most straightforward implementation irrespective of impact
- B . Assessing the potential return on investment and strategic fit
- C . Prioritizing based on the preference of the project manager
- D . Focusing solely on technological innovation
What is the primary purpose of monitoring a model in production?
- A . To enhance the visual appeal of the model’s output
- B . To ensure the model’s performance remains stable over time
- C . To reduce the model’s complexity for easier understanding
- D . To increase the model’s training speed
Which of the following are essential tasks when preparing data for exploratory analysis? (Choose Three)
- A . Labeling data accurately
- B . Ensuring data is representative of the entire population
- C . Assigning random values to missing data points
- D . Anonymizing sensitive information
- E . Organizing data chronologically
In the context of classification, what does the term ‘overfitting’ refer to?
- A . The model performs equally well on the training and test datasets
- B . The model performs poorly on both training and test datasets
- C . The model performs too well on the training dataset but poorly on unseen data
- D . The model requires too much time to train due to large dataset
Which of the following are considered direct effects of an AI solution? (Choose Two)
- A . Enhancements in process efficiency for which the AI was designed
- B . Increased job satisfaction among employees not using the AI directly
- C . Reduction in operational costs due to automation
- D . New market opportunities stemming from the innovation
How do you assess the feasibility of an AI solution?
- A . By evaluating the available technology and resources
- B . By creating detailed financial models only
- C . By ensuring the project is the top priority of the organization
- D . By hiring external consultants to validate the solution
What is the primary use of the WHERE clause in an SQL query?
- A . To specify which columns to retrieve
- B . To limit the data that fits certain conditions
- C . To identify the tables involved in the query
- D . To denote the end of the SQL query
What is the first step in aligning on user intents for an AI solution?
- A . Prototyping the solution
- B . Identifying key stakeholders
- C . Conducting a market analysis
- D . Documenting technical requirements
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