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IBM C1000-059 Exam
IBM AI Enterprise Workflow V1 Data Science Specialist
Last Updated: Jun 30, 2024
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62 Questions and Answers for the IBM C1000-059 exam
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IBM AI Enterprise Workflow V1 Data Science Specialist Syllabus
- Demonstrate knowledge of scenarios for application of machine learning/ Explain the fundamental terms and concepts of design thinking
- Show knowledge of how to communicate technical results to business stakeholders/ Explain and calculate different types of matrix operations
- Demonstrate mastery preparing and cleaning unstructured text data/ Explain the different types of fundamental Data Science
- Demonstrate basic understanding of natural language processing/ Explain the general properties of common probability distributions
- Translate business opportunities into a machine learning scenario/ Show knowledge of data exploration techniques and data anomaly detection
- Describe the differences between traditional programming and machine learning/ Use data summarization and visualization techniques to find relevant insight
- Demonstrate knowledge on open source technologies for deployment of AI solutions/ Demonstrate expertise cleaning data and addressing data anomalies
- Demonstrate foundational knowledge of using python as a tool for building AI solutions/ Show knowledge of feature engineering and dimensionality reduction techniques
- Describe the key considerations when selecting a platform for AI model deployment/ Demonstrate successful application of model validation and selection methods
- Identify IBM technology capabilities for building, deploying, and managing AI models/ Identify use cases where artificial intelligence solutions can address business opportunities
- Show knowledge of the benefits of cloud computing for building and deploying AI models/ Demonstrate knowledge of requirements for model monitoring, management and maintenance