최신 C1000-154 무료덤프 - IBM Watson Data Scientist v1

문제1

Which type of machine learning algorithm would be most appropriate for predicting house prices based on various features like location, size, and number of bedrooms?

A. Regression

B. Clustering

C. Classification

D. Dimensionality Reduction

정답: A

문제2

Which method is used for merging records in SPSS Modeler Merge node that allows specifying a requirement to be satisfied in order for the merge to take place?

A. Condition

B. Order

C. Filter

D. Key

정답: A

문제3

What is the primary purpose of hyperparameter tuning in machine learning models?

A. To adjust the model's complexity to improve its performance on unseen data

B. To increase the number of features in the dataset automatically

C. To reduce the training time of the model to an absolute minimum

D. To ensure the model uses all available computational resources

정답: A

문제4

When selecting a small number of algorithms based on model requirements, what factor should you primarily consider?

A. Compatibility of the algorithm with the data characteristics and the predictive task.

B. The algorithm that requires the least amount of data preprocessing.

C. The popularity of the algorithm in recent academic papers.

D. Choosing algorithms that are only based on supervised learning.

정답: A

문제5

Assessing the feasibility of a solution(s) often requires evaluating:

A. Technical feasibility, cost, and time constraints

B. The color scheme of the user interface

C. Preferred communication channels of the project manager

D. Market competition only

정답: A

문제6

How does the CRISP-DM (Cross-Industry Standard Process for Data Mining) methodology begin its process model?

A. Evaluation

B. Business Understanding

C. Model Building

D. Data Preparation

정답: B

문제7

Which two packages can be used to customize the software configuration of a Jupyter notebook environment in Cloud Pak for Data?

A. conda

B. vim

C. pip

D. sudo

E. bash

정답: A,C

문제8

Which metric is commonly used to evaluate the performance of a regression model?

A. Mean Squared Error (MSE)

B. Precision

C. Recall

D. Accuracy

정답: A

최신 C1000-154 무료덤프 - IBM Watson Data Scientist v1

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