C1000-154 vs C1000-177: Achieve the IBM Certified Data Scientist – Watson Specialist v1 Certification with the Latest Exam Dumps

1. When anticipating additional data sources that might be relevant, what is a crucial factor to consider?

2. A virtual assistant has been developed and deployed based on the Watson Assistant service. The assistant will support customers by answering FAQs (Frequent Answered Questions).

Which metric is a good indicator of the performance of the virtual assistant?

3. Which of the following is a critical first step in understanding a business problem for data science projects?

4. How can data splits be made reproducible in a machine learning experiment?

5. What is the key difference between batch processing and streaming in data processing?

6. Which of the following is NOT a type of data source commonly integrated with Cloud Pak for Data?

7. When selecting a small number of algorithms based on model requirements, what factor should you primarily consider?

8. The first step in performing exploratory data analysis (EDA) typically involves:

9. In the context of deployment environments, understanding resources is crucial.

What does this typically involve?

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

11. When helping businesses articulate and define problems, what is an essential first step?

12. 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?

13. What is a key disadvantage of using Grid Search for hyperparameter tuning?

14. 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?

15. Why is it important to create data splits that are reproducible?

16. In unsupervised learning, which algorithm is best suited for grouping customers based on their purchase history to target marketing efforts more effectively?

17. In the context of avoiding underfitting and overfitting, what role does splitting the data into training, testing, and validation sets play?

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

19. What is the primary purpose of partitioning data into training and test sets?

20. Which analytic technique is NOT typically used to address business requirements?

21. Which two packages can be used to customize the software configuration of a Jupyter notebook environment in Cloud Pak for Data?

22. Which statement describes bagging?

23. Assessing the feasibility of a solution(s) often requires evaluating:

24. Which statement best differentiates machine learning from deep learning?

25. Given the Confusion matrix below, which is the formula for specificity?

26. F1-score is particularly useful when:

27. Cloud Pak for Data's integration with Spark allows users to:

28. What is data leakage in the context of model training?

29. Which statistical method reduces the number of attributes by lumping highly correlated attributes together?

30. In classification models, which of the following metrics is NOT directly derived from the confusion matrix?