최신 C1000-154 무료덤프 - IBM Watson Data Scientist v1

문제1

Which of the following is a critical first step in understanding a business problem for data science projects?

A. Selecting the machine learning algorithm

B. Choosing the visualization tools

C. Defining the project scope

D. Deploying the model

정답: C

문제2

When using pandas in a Jupyter notebook for exploratory data analysis, what is a common practice?

A. Utilizing pandas to clean and transform data

B. Avoiding the use of visualizations to understand data

C. Ignoring missing values in the dataset

D. Only analyzing datasets with less than 100 rows

정답: A

문제3

Choosing the best model often involves trade-offs.
Which scenario represents such a trade-off?

A. Opting for the most complex model to ensure ease of use

B. Selecting a model based solely on its execution speed, without regard to accuracy

C. Preferring a model with higher accuracy over one that is slightly less accurate but much more interpretable

D. Choosing the model with the largest number of features, regardless of performance

정답: C

문제4

Automating data processing and model deployment with jobs in Watson Studio helps to:

A. Reduce the scalability of deployed solutions

B. Increase the need for manual intervention in the model lifecycle

C. Enhance the reproducibility and efficiency of model deployments

D. Limit the ability to update models based on new data

정답: C

문제5

In the context of model selection, explainability refers to:

A. The ease with which humans can understand how the model makes decisions.

B. The complexity of the algorithm used to build the model.

C. The model's ability to operate without any data.

D. How colorful and visually appealing the model's output is.

정답: A

문제6

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

문제7

When comparing models to choose the best one, which factor is least likely to be considered?

A. The explainability of the model's predictions

B. The color scheme of the model's output visualizations

C. The performance of the model on validation data

D. The complexity of the model

정답: B

문제8

In the case of imbalanced data, what technique is recommended to ensure that the train and test sets have similar distributions of the target variable?

A. Splitting based on the order of data collection

B. Random split without considering the target variable

C. Using only the majority class for splitting

D. Stratified split

정답: D

최신 C1000-154 무료덤프 - IBM Watson Data Scientist v1

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