Practice Free C1000-144 Exam Online Questions
What metric would you use to monitor a model’s performance in production?
- A . Number of features in the model
- B . Computational time of the model
- C . Model accuracy or loss over time
- D . The model’s source code length
Which of the following methods is best suited for performing AI design thinking in the context of understanding a business problem?
- A . Prototyping a solution before fully understanding the problem
- B . Holding workshops to ideate and define the problem
- C . Launching the product to see how it performs
- D . Copying solutions from similar problems in other businesses
What are key considerations when training a model and optimizing hyperparameters?
- A . Selecting the highest number of iterations regardless of overfitting
- B . Using cross-validation to evaluate model performance
- C . Always using the most complex model to ensure accuracy
- D . Balancing the bias-variance tradeoff
What is the benefit of documenting the available data in an AI project?
- A . It solely aids in compliance and regulatory submissions
- B . Helps in identifying data gaps and requirements for additional data
- C . Ensures that the project is completed under budget
- D . Guarantees the project will meet all its deadlines
Which environment specification is least relevant when setting up a model training environment?
- A . The type and version of the operating system
- B . The graphics processing unit (GPU) capabilities
- C . The brand of the computer
- D . The available RAM and CPU power
Which method in Pandas would you use to rename the columns of a DataFrame?
- A . df.rename_columns()
- B . df.columns = [‘new_name1’, ‘new_name2’]
- C . df.rename({‘old_name’: ‘new_name’}, axis=1)
- D . df.set_names([‘new_name1’, ‘new_name2’])
Given an SQL table ‘Books’ with fields Title, Author, and Genre, which query would return a list of unique Genre values?
- A . SELECT Genre FROM Books;
- B . SELECT SET Genre FROM Books;
- C . SELECT UNIQUE Genre FROM Books;
- D . SELECT DISTINCT Genre FROM Books;
Which Python library would you use to generate a heatmap to represent correlations in a dataset?
- A . Matplotlib
- B . Seaborn
- C . Plotly
- D . Bokeh
Which method is most effective for updating a model in production without downtime?
- A . Blue/Green deployment
- B . Directly overwriting the existing model
- C . Periodically restarting the server
- D . Manually tweaking model parameters
What is the benefit of feature scaling in model training?
- A . It increases the number of features for better accuracy
- B . It helps algorithms converge faster by normalizing feature magnitudes
- C . It decreases the transparency of the model
- D . It is only useful for unsupervised learning