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IBM Watson Data Scientist v1 Sample Questions:

1. In Cognos Analytics, which two features distinguish stories from dashboards?

A) Stories automatically load different filters for different users.
B) Stories convey a conclusion.
C) Stories provide a narrative over time.
D) Stories can be embedded in websites or documents.
E) Stories are text-based and do not contain visualizations.

2. What is a key advantage of using supervised learning techniques over unsupervised learning techniques?

A) Supervised learning algorithms can automatically label data.
B) Supervised learning is more effective for discovering hidden patterns in data without prior labeling.
C) Supervised learning can work without any labeled data.
D) Supervised learning is typically used for prediction with known outcomes, providing clear metrics for model performance.

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

A) To evaluate the model's performance on unseen data
B) To increase the computational efficiency of model training
C) To ensure that the model gets exposed to all possible data scenarios during training
D) To maximize the accuracy of the model by using all data for training

4. In the context of assessing data quality in Watson Knowledge Catalog (WKC) and Cloud Pak for Data (CPD), what is a primary focus?

A) Enhancing the graphical user interface
B) Increasing the volume of data collected
C) Analyzing completeness, consistency, and accuracy of data
D) Focusing on the data's color scheme

5. Which method is NOT traditionally used for collecting data?

A) Scraping data from a webpage
B) Using SQL to fetch data from a data warehouse
C) Predicting future trends with machine learning models
D) Using Python APIs for external data

Solutions: