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IBM C1000-154 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Preparation and Analysis | - Feature engineering basics - Exploratory data analysis - Data cleaning and preprocessing |
| Topic 2: Machine Learning Methods | - Model evaluation and validation - Unsupervised learning - Supervised learning |
| Topic 3: IBM Watson Tools and Platform | - Model development and deployment - IBM Watson Studio usage |
| Topic 4: Data Science Fundamentals | - Types of data and data sources - Data science lifecycle |
| Topic 5: Data Visualization and Communication | - Communicating insights to stakeholders - Visualization techniques |
IBM Watson Data Scientist v1 Sample Questions:
Which two graph types are used in EDA to show the relationship between two or more quantitative variables?
- A. Heat map
- B. Box plot
- C. Histogram
- D. Scatter plot
- E. Stem-and-leaf plot
Correct Answer: A,D π³οΈ
Which of the following is true regarding cross-validation?
- A. It decreases the variability of the model performance estimation.
- B. It involves training the model on the entire dataset at once.
- C. It should be avoided as it leads to overfitting.
- D. It helps in identifying the model's performance variability across different data splits.
Correct Answer: A,D π³οΈ
Which Python library is commonly used for data manipulation and analysis, and is available in Cloud Pak for Data?
- A. Pandas
- B. Keras
- C. PyTorch
- D. TensorFlow
Correct Answer: A π³οΈ
When selecting a small number of algorithms based on model requirements, what factor should you primarily consider?
- A. The popularity of the algorithm in recent academic papers.
- B. Choosing algorithms that are only based on supervised learning.
- C. The algorithm that requires the least amount of data preprocessing.
- D. Compatibility of the algorithm with the data characteristics and the predictive task.
Correct Answer: D π³οΈ
How can data splits be made reproducible in a machine learning experiment?
- A. By partitioning the data manually
- B. By using a different random seed each time the data is split
- C. By using a consistent random seed when splitting the data
- D. By splitting the data in a sequential manner without randomization
Correct Answer: C π³οΈ
