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IBM C1000-154 is a certification exam that evaluates the knowledge and skills of candidates in the field of data science. C1000-154 exam is designed to test the candidate's ability to use IBM Watson Studio and IBM Watson Knowledge Catalog to perform data analysis and create predictive models. C1000-154 exam covers various topics, including data preparation, data visualization, machine learning, and model deployment.

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IBM Watson Data Scientist v1 Sample Questions (Q23-Q28):

NEW QUESTION # 23
How do you determine which tool to use based on algorithm requirements and expertise?

A. Choose the newest tools on the market for the most up-to-date features.
B. Select tools that the team is already familiar with, even if they are not the best fit for the algorithm.
C. Consider the tool's compatibility with the algorithm requirements and the team's expertise.
D. Always use the most complex tool to ensure the model's accuracy.

Answer: C

NEW QUESTION # 24
Which of the following is a common issue identified during the preprocessing of data?

A. Aesthetically unpleasing charts
B. Excessively large file names
C. Overly detailed documentation
D. Presence of missing values

Answer: D

NEW QUESTION # 25
What is the key difference between batch processing and streaming in data processing?

A. Batch processing processes data in large blocks at a time, whereas streaming processes data in real- time as it arrives
B. Streaming is suitable for large, historical datasets, whereas batch processing is for real-time data analysis
C. Batch processing processes data in large blocks at a time, whereas streaming processes data in real- time as it arrives
D. Batch processing involves real-time data processing, whereas streaming does not process data

Answer: C

NEW QUESTION # 26
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. How colorful and visually appealing the model's output is.
D. The model's ability to operate without any data.

Answer: A

NEW QUESTION # 27
Which metric is commonly used to evaluate the performance of a regression model?

A. Precision
B. Recall
C. Mean Squared Error (MSE)
D. Accuracy

Answer: C

NEW QUESTION # 28
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