IBM C1000-154 IBM Watson Data Scientist v1 Online Training
IBM C1000-154 Online Training
The questions for C1000-154 were last updated at Feb 20,2025.
- Exam Code: C1000-154
- Exam Name: IBM Watson Data Scientist v1
- Certification Provider: IBM
- Latest update: Feb 20,2025
Which two packages can be used to customize the software configuration of a Jupyter notebook environment in Cloud Pak for Data?
- A . vim
- B . pip
- C . sudo
- D . bash
- E . conda
Which statement describes bagging?
- A . Building models and using their output as features into a final model.
- B . Building models in parallel and aggregating their predictions to select the final prediction.
- C . Building models sequentially and evaluating the success of earlier models. It combines a set of weak learners into a strong learner.
- D . Building models with artificial neural networks based on the sharedweight architecture of the convolution kernels or filters.
Assessing the feasibility of a solution(s) often requires evaluating:
- A . The color scheme of the user interface
- B . Market competition only
- C . Technical feasibility, cost, and time constraints
- D . Preferred communication channels of the project manager
Which statement best differentiates machine learning from deep learning?
- A . Machine learning algorithms perform better on structured data, while deep learning excels with unstructured data like images and text.
- B . Deep learning algorithms require less data to learn.
- C . Machine learning models are always transparent, whereas deep learning models cannot be interpreted.
- D . Deep learning algorithms are a subset of machine learning algorithms that do not require feature engineering.
Given the Confusion matrix below, which is the formula for specificity?
- A . TN/(TN + FP)
- B . TP/(FP + TP)
- C . TP/(FN + TP)
- D . (TP + TN)/(FN + FP + TN + TP)
F1-score is particularly useful when:
- A . You need a balance between precision and recall.
- B . The dataset size is extremely large.
- C . Only the model’s accuracy matters.
- D . The data is completely balanced.
Cloud Pak for Data’s integration with Spark allows users to:
- A . Perform complex computations on small datasets only
- B . Leverage distributed computing for processing large datasets efficiently
- C . Avoid using any form of data processing or analysis
- D . Use Spark exclusively for data visualization purposes
What is data leakage in the context of model training?
- A . When data from outside the training dataset is accidentally included in the training process
- B . A situation where the test data is not available
- C . Leakage of sensitive information due to poor data handling practices
- D . Loss of data during the splitting process
Which statistical method reduces the number of attributes by lumping highly correlated attributes together?
- A . Binning
- B . Principal Component Analysis (PCA)
- C . Long Short Term Memory Network (LSTM)
- D . Synthetic Minority Over-sampling Technique (SMOTE)
In classification models, which of the following metrics is NOT directly derived from the confusion matrix?
- A . Precision
- B . Recall
- C . Mean Absolute Error (MAE)
- D . F1-score
Latest C1000-154 Dumps Valid Version with 80 Q&As
Latest And Valid Q&A | Instant Download | Once Fail, Full Refund
