IBM AI Enterprise Workflow V1 Data Science Specialist: C1000-059 Exam

"IBM AI Enterprise Workflow V1 Data Science Specialist", also known as C1000-059 exam, is a IBM Certification. With the complete collection of questions and answers, BraindumpsPass has assembled to take you through 64 Q&As to your C1000-059 Exam preparation. In the C1000-059 exam resources, you will cover every field and category in IBM Data and AI: Data and AI Certification helping to ready you for your successful IBM Certification.

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  • Updated on: Sep 01, 2025
  • No. of Questions: 64 Questions & Answers

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  • Updated on: Sep 01, 2025
  • No. of Questions: 64 Questions & Answers

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IBM C1000-059 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Describe the differences between traditional programming and machine learning
  • Use data summarization and visualization techniques to find relevant insight
Topic 2
  • Show knowledge of how to communicate technical results to business stakeholders
  • Explain and calculate different types of matrix operations
Topic 3
  • Demonstrate knowledge on open source technologies for deployment of AI solutions
  • Demonstrate expertise cleaning data and addressing data anomalies
Topic 4
  • Describe the key considerations when selecting a platform for AI model deployment
  • Demonstrate successful application of model validation and selection methods
Topic 5
  • Demonstrate mastery preparing and cleaning unstructured text data
  • Explain the different types of fundamental Data Science
Topic 6
  • Demonstrate knowledge of scenarios for application of machine learning
  • Explain the fundamental terms and concepts of design thinking
Topic 7
  • Demonstrate basic understanding of natural language processing
  • Explain the general properties of common probability distributions
Topic 8
  • Show knowledge of the benefits of cloud computing for building and deploying AI models
  • Demonstrate knowledge of requirements for model monitoring, management and maintenance
Topic 9
  • Translate business opportunities into a machine learning scenario
  • Show knowledge of data exploration techniques and data anomaly detection
Topic 10
  • Demonstrate foundational knowledge of using python as a tool for building AI solutions
  • Show knowledge of feature engineering and dimensionality reduction techniques

Reference: https://www.ibm.com/certify/exam?id=C1000-059

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