C1000-154 LATEST REAL EXAM, PASS C1000-154 GUARANTEE

C1000-154 Latest Real Exam, Pass C1000-154 Guarantee

C1000-154 Latest Real Exam, Pass C1000-154 Guarantee

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IBM Watson Data Scientist v1 Sample Questions (Q43-Q48):

NEW QUESTION # 43
In the context of building models, why is it important to select a tool based on algorithm requirements and expertise?

  • A. Selecting a tool that matches the team's expertise ensures more efficient model development and troubleshooting.
  • B. It is legally required to use only certain tools for specific types of data.
  • C. Tools with the most features should always be selected to ensure model complexity.
  • D. All machine learning tools are essentially the same, making the selection process trivial.

Answer: A


NEW QUESTION # 44
Which of the following is true about the AUC measure in the context of classification models?

  • A. It indicates the number of false positives.
  • B. It represents the degree of separability between classes.
  • C. It measures the model's accuracy using a single threshold.
  • D. It is less useful when the classes are highly imbalanced.

Answer: B


NEW QUESTION # 45
A model's performance is not solely dependent on its accuracy but also on:

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

Answer: A


NEW QUESTION # 46
When determining upskill requirements for a team working on a solution, it is important to consider:

  • A. The budget allocation for the project
  • B. The preferred programming languages of the team
  • C. The geographical location of the team members
  • D. The existing skill level of the team and the skills required for the project

Answer: D


NEW QUESTION # 47
Which analytic technique is NOT typically used to address business requirements?

  • A. Clustering
  • B. Proofreading
  • C. Decision trees
  • D. Regression analysis

Answer: B


NEW QUESTION # 48
......

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