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IBM C1000-154 Exam Syllabus Topics:

IBM Watson Data Scientist v1 Sample Questions:

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

A) Deploying the model
B) Choosing the visualization tools
C) Selecting the machine learning algorithm
D) Defining the project scope

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

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

3. 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?

A) Measure escalated calls using A/B testing
B) The Root Mean Squared Error (RMSE) of words
C) The Area Under the Curve (AUC)
D) The F1 score of predicted intents in the Analytics tab

4. Understanding how to use libraries in Python within a deployment environment is essential for:

A) Increasing the complexity and maintenance cost of the deployed solution
B) Ensuring that all models are developed without any external libraries
C) Leveraging specific functionalities for data analysis, manipulation, and model building
D) Deploying models that are incompatible with the deployment environment

5. In the deployment phase, why is it important to know the different data sources available in Cloud Pak for Data?

A) To ensure that all data sources are manually processed
B) To limit the deployment to only use local file storage
C) To effectively integrate and manage data from various sources for analysis and model training
D) Because only one type of data source can be used in any deployment

Solutions: