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IBM C1000-154 Exam is designed to test the knowledge and skills of individuals who wish to become certified as IBM Watson Data Scientists. C1000-154 exam covers a wide range of topics related to data science, including data analysis, machine learning, statistical modeling, and big data technologies. IBM Watson Data Scientist v1 certification is recognized globally and is highly valued in the industry.

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IBM Watson Data Scientist v1 Sample Questions (Q34-Q39):

NEW QUESTION # 34
Which metric would be most appropriate for evaluating a model in a highly imbalanced classification problem?

A. Accuracy
B. F1-score
C. Recall
D. Precision

Answer: B

NEW QUESTION # 35
A model's performance is not solely dependent on its accuracy but also on:

A. The number of features selected
B. Metrics like precision, recall, and F1 score
C. The choice of programming language
D. The color of the visualization charts

Answer: B

NEW QUESTION # 36
When managing data with Cloud Pak for Data Services, what is a common task?

A. Avoiding the automation of data processing tasks
B. Ignoring data security and compliance requirements
C. Using the same data management approach for all types of data, regardless of size or format
D. Reading data from and writing data to Watson Studio

Answer: D

NEW QUESTION # 37
Cloud Pak for Data's integration with Spark allows users to:

A. Use Spark exclusively for data visualization purposes
B. Avoid using any form of data processing or analysis
C. Perform complex computations on small datasets only
D. Leverage distributed computing for processing large datasets efficiently

Answer: D

NEW QUESTION # 38
Selecting the right model for a data science project depends on:

A. The project's budget only
B. The preference of the data scientist
C. The type of data and the problem to be solved
D. The size of the dataset only

Answer: C

NEW QUESTION # 39
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