Description
Status: RETIRED
Exam Name: IBM AI Enterprise Workflow V1 Data Science Specialist
Exam Code: C1000-059
Related Certification(s):
- IBM Certified Specialist Certifications
- IBM AI Enterprise Workflow V1 Certifications
Certification Provider: IBM
Actual Exam Duration: 90 Minutes
Number of C1000-059 practice questions in our database: 62
Expected C1000-059 Exam Topics, as suggested by IBM :
- Module 1: Demonstrate knowledge of scenarios for application of machine learning/ Explain the fundamental terms and concepts of design thinking
- Module 2: Show knowledge of how to communicate technical results to business stakeholders/ Explain and calculate different types of matrix operations
- Module 3: Demonstrate mastery preparing and cleaning unstructured text data/ Explain the different types of fundamental Data Science
- Module 4: Demonstrate basic understanding of natural language processing/ Explain the general properties of common probability distributions
- Module 5: Translate business opportunities into a machine learning scenario/ Show knowledge of data exploration techniques and data anomaly detection
- Module 6: Describe the differences between traditional programming and machine learning/ Use data summarization and visualization techniques to find relevant insight
- Module 7: Demonstrate knowledge on open source technologies for deployment of AI solutions/ Demonstrate expertise cleaning data and addressing data anomalies
- Module 8: Demonstrate foundational knowledge of using python as a tool for building AI solutions/ Show knowledge of feature engineering and dimensionality reduction techniques
- Module 9: Describe the key considerations when selecting a platform for AI model deployment/ Demonstrate successful application of model validation and selection methods
- Module 10: Identify IBM technology capabilities for building, deploying, and managing AI models/ Identify use cases where artificial intelligence solutions can address business opportunities
- Module 11: Show knowledge of the benefits of cloud computing for building and deploying AI models/ Demonstrate knowledge of requirements for model monitoring, management and maintenance
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