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IBM Watson Data Scientist v1 Sample Questions:
1. Which method is NOT traditionally used for collecting data?
A) Scraping data from a webpage
B) Using Python APIs for external data
C) Predicting future trends with machine learning models
D) Using SQL to fetch data from a data warehouse
2. In Cognos Analytics, which two features distinguish stories from dashboards?
A) Stories are text-based and do not contain visualizations.
B) Stories automatically load different filters for different users.
C) Stories can be embedded in websites or documents.
D) Stories convey a conclusion.
E) Stories provide a narrative over time.
3. What does the term "complexity" in model comparison refer to?
A) The aesthetic appeal of the model's graphical representations
B) The amount of computational resources required for training and inference
C) The number of hyperparameters that need to be tuned
D) The size of the dataset the model can handle
4. In the context of building models, why is it important to select a tool based on algorithm requirements and expertise?
A) Selecting a tool that matches the team's expertise ensures more efficient model development and troubleshooting.
B) All machine learning tools are essentially the same, making the selection process trivial.
C) It is legally required to use only certain tools for specific types of data.
D) Tools with the most features should always be selected to ensure model complexity.
5. Which feature is NOT available when managing models with Watson Machine Learning?
A) Real-time performance monitoring
B) Version control of deployed models
C) Rollback capabilities for model versions
D) Automatic conversion of all models to deep learning models
Solutions:
Question # 1 Answer: C | Question # 2 Answer: D,E | Question # 3 Answer: B | Question # 4 Answer: A | Question # 5 Answer: D |
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