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IBM C1000-059 Exam Syllabus Topics:

Topic	Details
Topic 1	Show knowledge of how to communicate technical results to business stakeholders Explain and calculate different types of matrix operations
Topic 2	Describe the differences between traditional programming and machine learning Use data summarization and visualization techniques to find relevant insight
Topic 3	Demonstrate basic understanding of natural language processing Explain the general properties of common probability distributions
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 knowledge on open source technologies for deployment of AI solutions Demonstrate expertise cleaning data and addressing data anomalies
Topic 6	Translate business opportunities into a machine learning scenario Show knowledge of data exploration techniques and data anomaly detection
Topic 7	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 8	Demonstrate foundational knowledge of using python as a tool for building AI solutions Show knowledge of feature engineering and dimensionality reduction techniques
Topic 9	Demonstrate knowledge of scenarios for application of machine learning Explain the fundamental terms and concepts of design thinking

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

IBM AI Enterprise Workflow Data Science Specialist Exam Certification Details:

Exam Price	$200 (USD)
Passing Score	44 / 62
Schedule Exam	Pearson VUE
Books / Training	Coursera - AI Enterprise Workflow Certification Training
Duration	90 mins
Number of Questions	62
Exam Code	C1000-059
Sample Questions	IBM AI Enterprise Workflow Data Science Specialist Sample Questions
Exam Name	IBM Certified Specialist - AI Enterprise Workflow V1

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