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C1000-154 Q&A - in .pdf
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- Exam Code: C1000-154
- Exam Name: IBM Watson Data Scientist v1
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- Updated: Nov 06, 2026
- Q & A: 82 Questions and Answers
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C1000-154 Q&A - Testing Engine
- Exam Code: C1000-154
- Exam Name: IBM Watson Data Scientist v1
- Updated: Nov 06, 2026
- Q & A: 82 Questions and Answers
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IBM C1000-154 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Visualization and Storytelling | 15-20% | - Interactive dashboards and reports - Communicating findings to stakeholders - Visualization best practices |
| Topic 2: Data Science and Watson Fundamentals | 20-25% | - Data collection, preparation, and exploration - IBM Watson ecosystem and components - Data science methodology and CRISP-DM framework |
| Topic 3: Watson Studio and Watson Knowledge Catalog | 20-25% | - AutoAI and automatic model building - Data governance and cataloging - Data asset management - Project management and collaboration |
| Topic 4: Machine Learning and Model Development | 20-25% | - Supervised and unsupervised learning concepts - Feature engineering and selection - Model training, evaluation, and optimization - Model deployment and monitoring |
| Topic 5: Watson AI Services and Deployment | 10-15% | - Monitoring deployed models - Watson Assistant integration - Deploying models as REST APIs - Watson Discovery overview |
IBM Watson Data Scientist v1 Sample Questions:
Question #1
Which of the following is a critical first step in understanding a business problem for data science projects?
- A. Deploying the model
- B. Selecting the machine learning algorithm
- C. Defining the project scope
- D. Choosing the visualization tools
Correct Answer: C 🗳️
Question #2
Which two packages can be used to customize the software configuration of a Jupyter notebook environment in Cloud Pak for Data?
- A. sudo
- B. vim
- C. bash
- D. conda
- E. pip
Correct Answer: D,E 🗳️
Question #3
In Cognos Analytics, which two features distinguish stories from dashboards?
- A. Stories are text-based and do not contain visualizations.
- B. Stories can be embedded in websites or documents.
- C. Stories convey a conclusion.
- D. Stories automatically load different filters for different users.
- E. Stories provide a narrative over time.
Correct Answer: C,E 🗳️
Question #4
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. The Root Mean Squared Error (RMSE) of words
- B. Measure escalated calls using A/B testing
- C. The Area Under the Curve (AUC)
- D. The F1 score of predicted intents in the Analytics tab
Correct Answer: B 🗳️
Question #5
F1-score is particularly useful when:
- A. You need a balance between precision and recall.
- B. The data is completely balanced.
- C. Only the model's accuracy matters.
- D. The dataset size is extremely large.
Correct Answer: A 🗳️
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