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IBM C1000-154 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Watson AI Services and Deployment | 10-15% | - Watson Assistant integration - Watson Discovery overview - Monitoring deployed models - Deploying models as REST APIs |
| Data Science and Watson Fundamentals | 20-25% | - Data science methodology and CRISP-DM framework - Data collection, preparation, and exploration - IBM Watson ecosystem and components |
| Watson Studio and Watson Knowledge Catalog | 20-25% | - Project management and collaboration - Data governance and cataloging - AutoAI and automatic model building - Data asset management |
| Machine Learning and Model Development | 20-25% | - Model deployment and monitoring - Model training, evaluation, and optimization - Feature engineering and selection - Supervised and unsupervised learning concepts |
| Data Visualization and Storytelling | 15-20% | - Interactive dashboards and reports - Communicating findings to stakeholders - Visualization best practices |
IBM Watson Data Scientist v1 Sample Questions:
Question 1
An E-retailer uses several important data sources, including web logs which contain all of the information on how customers navigate the web site. There are non-informative entries in the web logs that need to be removed.
During which phase should these non-informative entries be removed in the CRISP-DM model?
A. Data Preparation
B. Modeling
C. Business Understanding
D. Data Understanding
Question 2
In the case of imbalanced data, what technique is recommended to ensure that the train and test sets have similar distributions of the target variable?
A. Random split without considering the target variable
B. Stratified split
C. Using only the majority class for splitting
D. Splitting based on the order of data collection
Question 3
In the context of deployment environments, understanding resources is crucial.
What does this typically involve?
A. Choosing the most aesthetically pleasing user interface
B. Determining the computational power and memory requirements for the deployed solution
C. Focusing exclusively on the cost of storage
D. Selecting the programming language with the least number of keywords
Question 4
Which of the following is NOT a direct benefit of connecting to data sources using Cloud Pak for Data?
A. Streamlining the integration of diverse data sources
B. Enhancing collaboration across data science and IT teams
C. Facilitating secure and scalable data connectivity
D. Automatically generating insights without data analysis
Question 5
Key metrics for a solution should be defined based on:
A. The specific objectives and desired outcomes of the project
B. The most recent technological trends
C. The personal preferences of the project stakeholders
D. The number of available data scientists
Solutions:
| Question 1 Answer: A | Question 2 Answer: B | Question 3 Answer: B | Question 4 Answer: D | Question 5 Answer: A |
