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
Which is a primary goal of AI design thinking in relation to business problems?
- A . Maximizing the speed of development
- B . Understanding user needs and pain points
- C . Choosing the most advanced AI technologies
- D . Ensuring the project is completed under budget
What is the primary goal when splitting data into training, testing, and validation sets?
- A . To increase the computational speed of model training
- B . To ensure the model generalizes well to new data
- C . To use all available data for training to improve accuracy
- D . To test all models on the same set of data
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’])
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
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
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;
In the context of anomaly detection, what is the algorithm primarily searching for?
- A . Patterns that do not conform to expected behavior
- B . The best way to group similar data points
- C . The optimal number of clusters in the data
- D . The strongest predictors of a target variable
What are effective strategies for handling missing data? (Choose Two)
- A . Deleting all rows with any missing values
- B . Imputing missing values using statistical methods
- C . Using a machine learning model to predict missing values
- D . Ignoring missing data during analysis
Principal Component Analysis (PCA) is a common technique for which of the following?
- A . Regression
- B . Classification
- C . Clustering
- D . Dimensional reduction
For a model that needs to explain itself, which methods could be appropriately used? (Choose Three)
- A . LIME (Local Interpretable Model-agnostic Explanations)
- B . SHAP (SHapley Additive exPlanations)
- C . Embedding model parameters directly into the user interface
- D . Feature importance scores
- E . Randomizing input features to test output variation
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