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To pass the IBM C1000-154 exam, candidates must have a deep understanding of machine learning algorithms and techniques, as well as proficiency in programming languages like Python and R. They must also be familiar with working with big data platforms, such as Hadoop and Spark, and be able to deploy machine learning models in cloud environments. Additionally, candidates must be able to use IBM Watson Studio and Watson Knowledge Catalog to create and manage machine learning projects and models, as well as understand best practices for data governance and security. By passing the IBM C1000-154 Exam, data scientists can demonstrate their expertise in IBM Watson technologies and establish themselves as trusted professionals in the field.

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IBM Watson Data Scientist v1 Sample Questions (Q80-Q85):

NEW QUESTION # 80
Which two packages can be used to customize the software configuration of a Jupyter notebook environment in Cloud Pak for Data?

A. pip
B. bash
C. conda
D. vim
E. sudo

Answer: A,C

NEW QUESTION # 81
Profiling and visualizing data using Watson tools primarily helps in:

A. Identifying patterns, outliers, and insights in the data
B. Increasing the quantity of data for analysis
C. Creating aesthetically pleasing presentations without regard to data relevance
D. Simplifying the data collection process without analyzing quality

Answer: A

NEW QUESTION # 82
When anticipating additional data sources that might be relevant, what is a crucial factor to consider?

A. The graphical interface of the data source
B. The relevance of the data source to the business problem
C. The data source's popularity on social media
D. The color scheme of the data visualization

Answer: B

NEW QUESTION # 83
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. Order
B. Filter
C. Key
D. Condition

Answer: D

NEW QUESTION # 84
A model's performance is not solely dependent on its accuracy but also on:

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

Answer: B

NEW QUESTION # 85
......

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Famous C1000-154 Training Quiz Bring You the Topping Exam Questions - RealVCE

Latest IBM C1000-154 Exam Testking & C1000-154 Test Torrent

IBM Watson Data Scientist v1 Sample Questions (Q80-Q85):

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