Practice Free C1000-144 Exam Online Questions
Question #31
What does an R^2 Score (coefficient of determination) measure?
- A . It computes the average squared difference between estimated values and the actual value.
- B . It computes the square root of the average squared difference between estimated values and the actual value.
- C . It represents the proportion of the variance in the independent variable that has been explained by the dependent variable.
- D . It represents the proportion of the variance in the dependent variable that has been explained by the independent variable(s).
Correct Answer: D
Question #32
What function is used in Pandas to read a CSV file into a DataFrame?
- A . pandas.read_csv()
- B . pandas.load_csv()
- C . pandas.open_csv()
- D . pandas.csv()
Correct Answer: A
Question #33
Which type of plot would best illustrate the distribution of a single continuous variable?
- A . Line plot
- B . Bar chart
- C . Histogram
- D . Scatterplot
Correct Answer: C
Question #34
When aiming to display the correlation between two variables, which type of visualization should you choose?
- A . Pie chart
- B . Scatterplot
- C . Bar chart
- D . Line plot
Correct Answer: B
Question #35
In K-Nearest Neighbors (KNN), what does K represent?
- A . The number of clusters to form
- B . The number of training samples to use
- C . The number of features to consider
- D . The number of nearest neighbors to consider
Correct Answer: D
Question #36
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
Correct Answer: B
Question #37
Which methods indicate effective organization of data in an AI project? (Choose Two)
- A . Data is stored in multiple, unrelated databases.
- B . Metadata is used to improve data discoverability.
- C . Data is categorized and indexed effectively.
- D . Data remains unstructured and scattered.
Correct Answer: BC
Question #38
Which technique is typically used for hyperparameter tuning to minimize overfitting?
- A . Decision tree pruning
- B . Increasing the number of layers in a neural network
- C . Grid search
- D . Removing features with low variance
Correct Answer: C