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IBM C1000-154 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Watson AI Services and Deployment | 10-15% | - Watson Assistant integration - Watson Discovery overview - Deploying models as REST APIs - Monitoring deployed models |
| Topic 2: Data Visualization and Storytelling | 15-20% | - Communicating findings to stakeholders - Visualization best practices - Interactive dashboards and reports |
| Topic 3: Machine Learning and Model Development | 20-25% | - Supervised and unsupervised learning concepts - Model training, evaluation, and optimization - Feature engineering and selection - Model deployment and monitoring |
| Topic 4: Data Science and Watson Fundamentals | 20-25% | - Data science methodology and CRISP-DM framework - IBM Watson ecosystem and components - Data collection, preparation, and exploration |
| Topic 5: Watson Studio and Watson Knowledge Catalog | 20-25% | - Project management and collaboration - Data asset management - AutoAI and automatic model building - Data governance and cataloging |
IBM Watson Data Scientist v1 Sample Questions:
1. An essential aspect of the ETL (Extract, Transform, Load) process is:
A) Ensuring data quality and consistency throughout the process
B) Loading data into a single, centralized database for analysis
C) Extracting the least amount of data for simplicity
D) Transforming data exclusively in cloud environments
2. Which Python library is commonly used for data manipulation and analysis, and is available in Cloud Pak for Data?
A) TensorFlow
B) Pandas
C) Keras
D) PyTorch
3. Which type of machine learning algorithm would be most appropriate for predicting house prices based on various features like location, size, and number of bedrooms?
A) Clustering
B) Dimensionality Reduction
C) Regression
D) Classification
4. In the context of deployment environments, understanding resources is crucial.
What does this typically involve?
A) Determining the computational power and memory requirements for the deployed solution
B) Choosing the most aesthetically pleasing user interface
C) Selecting the programming language with the least number of keywords
D) Focusing exclusively on the cost of storage
5. 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) Order
B) Key
C) Filter
D) Condition
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: C | Question # 4 Answer: A | Question # 5 Answer: D |
