IBM Watson Data Scientist v1 : C1000-154

  • Exam Code: C1000-154
  • Exam Name: IBM Watson Data Scientist v1
  • Q & A: 82 Questions and Answers

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IBM Watson Data Scientist v1 Sample Questions:

1. An E-retailer uses several important data sources, including web logs which contain all of the information on how customers navigate the web site. There are non-informative entries in the web logs that need to be removed.
During which phase should these non-informative entries be removed in the CRISP-DM model?

A) Data Preparation
B) Modeling
C) Data Understanding
D) Business Understanding


2. Which Python library is commonly used for data manipulation and analysis, and is available in Cloud Pak for Data?

A) PyTorch
B) Keras
C) TensorFlow
D) Pandas


3. What is the primary purpose of hyperparameter tuning in machine learning models?

A) To adjust the model's complexity to improve its performance on unseen data
B) To increase the number of features in the dataset automatically
C) To reduce the training time of the model to an absolute minimum
D) To ensure the model uses all available computational resources


4. In the context of IBM Garage Methodology, which of the following best describes the "Enterprise Design Thinking" stage?

A) It focuses on maintaining and operating solutions at scale.
B) It is primarily concerned with the technical deployment of solutions.
C) It emphasizes understanding user outcomes and business needs.
D) It involves the rapid building of prototypes to validate ideas.


5. Which of the following is true about the AUC measure in the context of classification models?

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


Solutions:

Question # 1
Answer: A
Question # 2
Answer: D
Question # 3
Answer: A
Question # 4
Answer: C
Question # 5
Answer: A

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