Exam Name: IBM Watson Data Scientist v1
Certification Provider: IBM
Corresponding Certification: IBM Certification
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IBM C1000-154 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Science Fundamentals | - Types of data and data sources - Data science lifecycle |
| Topic 2: Data Preparation and Analysis | - Exploratory data analysis - Feature engineering basics - Data cleaning and preprocessing |
| Topic 3: IBM Watson Tools and Platform | - IBM Watson Studio usage - Model development and deployment |
| Topic 4: Machine Learning Methods | - Unsupervised learning - Model evaluation and validation - Supervised learning |
| Topic 5: Data Visualization and Communication | - Communicating insights to stakeholders - Visualization techniques |
IBM Watson Data Scientist v1 Sample Questions:
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.
Correct Answer: B,C 🗳️
Understanding how to use libraries in Python within a deployment environment is essential for:
- A. Deploying models that are incompatible with the deployment environment
- B. Leveraging specific functionalities for data analysis, manipulation, and model building
- C. Ensuring that all models are developed without any external libraries
- D. Increasing the complexity and maintenance cost of the deployed solution
Correct Answer: B 🗳️
In the deployment phase, why is it important to know the different data sources available in Cloud Pak for Data?
- A. Because only one type of data source can be used in any deployment
- B. To ensure that all data sources are manually processed
- C. To effectively integrate and manage data from various sources for analysis and model training
- D. To limit the deployment to only use local file storage
Correct Answer: C 🗳️
In defining a business problem, what is essential to align with the stakeholders?
- A. Business objectives
- B. Project milestones
- C. Data sources
- D. Technical requirements
Correct Answer: A 🗳️
How does the CRISP-DM (Cross-Industry Standard Process for Data Mining) methodology begin its process model?
- A. Data Preparation
- B. Evaluation
- C. Model Building
- D. Business Understanding
Correct Answer: D 🗳️
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