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Real IBM Watson Data Scientist v1 Pass4sure Torrent - C1000-154 Study Pdf & IBM Watson Data Scientist v1 Practice Questions

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To prepare for the IBM C1000-154 Exam, candidates should have a solid understanding of data science principles and techniques, as well as experience working with data sets and analyzing data using statistical methods. They should also be familiar with programming languages such as Python and R, and have experience working with machine learning and deep learning frameworks such as TensorFlow and Keras.

IBM Watson Data Scientist v1 Sample Questions (Q47-Q52):

NEW QUESTION # 47
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 Understanding
B. Modeling
C. Business Understanding
D. Data Preparation

Answer: D

NEW QUESTION # 48
An essential aspect of the ETL (Extract, Transform, Load) process is:

A. Extracting the least amount of data for simplicity
B. Loading data into a single, centralized database for analysis
C. Transforming data exclusively in cloud environments
D. Ensuring data quality and consistency throughout the process

Answer: D

NEW QUESTION # 49
Which of the following is NOT a direct benefit of connecting to data sources using Cloud Pak for Data?

A. Enhancing collaboration across data science and IT teams
B. Automatically generating insights without data analysis
C. Streamlining the integration of diverse data sources
D. Facilitating secure and scalable data connectivity

Answer: B

NEW QUESTION # 50
Given the Confusion matrix below, which is the formula for specificity?

A. TP/(FN + TP)
B. TN/(TN + FP)
C. TP/(FP + TP)
D. (TP + TN)/(FN + FP + TN + TP)

Answer: B

NEW QUESTION # 51
F1-score is particularly useful when:

A. Only the model's accuracy matters.
B. The dataset size is extremely large.
C. You need a balance between precision and recall.
D. The data is completely balanced.

Answer: C

NEW QUESTION # 52
......

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