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IBM C1000-154 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Machine Learning and Model Development | 20-25% | - Feature engineering and selection - Model deployment and monitoring - Model training, evaluation, and optimization - Supervised and unsupervised learning concepts |
| Topic 2: Data Visualization and Storytelling | 15-20% | - Communicating findings to stakeholders - Interactive dashboards and reports - Visualization best practices |
| Topic 3: Data Science and Watson Fundamentals | 20-25% | - IBM Watson ecosystem and components - Data science methodology and CRISP-DM framework - Data collection, preparation, and exploration |
| Topic 4: Watson AI Services and Deployment | 10-15% | - Deploying models as REST APIs - Monitoring deployed models - Watson Discovery overview - Watson Assistant integration |
| Topic 5: Watson Studio and Watson Knowledge Catalog | 20-25% | - Data governance and cataloging - Project management and collaboration - AutoAI and automatic model building - Data asset management |
IBM Watson Data Scientist v1 Sample Questions:
Question 1
Choosing the best model often involves trade-offs.
Which scenario represents such a trade-off?
A. Opting for the most complex model to ensure ease of use
B. Choosing the model with the largest number of features, regardless of performance
C. Selecting a model based solely on its execution speed, without regard to accuracy
D. Preferring a model with higher accuracy over one that is slightly less accurate but much more interpretable
Question 2
Which method is used for merging records in SPSS Modeler Merge node that allows specifying a requirement to be satisfied in order for the merge to take place?
A. Condition
B. Order
C. Key
D. Filter
Question 3
Key metrics for a solution should be defined based on:
A. The most recent technological trends
B. The specific objectives and desired outcomes of the project
C. The number of available data scientists
D. The personal preferences of the project stakeholders
Question 4
In the context of IBM Garage Methodology, which of the following best describes the "Enterprise Design Thinking" stage?
A. It focuses on maintaining and operating solutions at scale.
B. It is primarily concerned with the technical deployment of solutions.
C. It emphasizes understanding user outcomes and business needs.
D. It involves the rapid building of prototypes to validate ideas.
Question 5
In defining a business problem, what is essential to align with the stakeholders?
A. Technical requirements
B. Business objectives
C. Project milestones
D. Data sources
Solutions:
| Question 1 Answer: D | Question 2 Answer: A | Question 3 Answer: B | Question 4 Answer: C | Question 5 Answer: B |
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