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| Certification Vendor: | IBM |
| Exam Name: | Assessment: IBM Machine Learning Data Scientist v1 |
| Exam Number: | A1000-144 |
| Real Exam Qty: | 61 |
| Related Certifications: | IBM Certified Data Scientist - Machine Learning Specialist v1 |
| Passing Score: | 45/61 |
| Exam Duration: | 90 minutes |
| Available Languages: | English |
| Exam Format: | Assessment Exam, Multiple Choice, Multiple Response |
| Exam Way: | Online assessment delivered through Pearson VUE. |
| Pre Condition: | No prerequisite exam required. Candidates should have practical experience with machine learning workflows and IBM Watson Studio. |
| Official Syllabus URL: | https://www.ibm.com/training/certification/ibm-certified-data-scientist-machine-learning-specialist-v1-C9003500 |
| Section | Weight | Objectives |
|---|---|---|
| Refine and Deploy the Model | 18% | - Select appropriate tools - Implement model explainability - Train the model and optimize hyperparameters - Identify operations and transformations used for feature selection and engineering - Configure environment specifications for model training |
| Implement the Proper Model | 26% | - Implement supervised learning using regression - Implement unsupervised learning using dimensional reduction - Implement unsupervised learning using clustering - Implement supervised learning using classification |
| Monitor Models in Production | 17% | - Monitor the model in production - Determine whether unfair bias exists in the model - Assess the model |
| Exploratory Data Analysis Including Data Preparation | 18% | - Visualize data - Identify methods used to clean, label, and anonymize data - Balance and partition data |
| Evaluate Business Problem Including Ethical Implications | 21% | - Understand what data is available - Understand ethical challenges in the business problem - Understand business requirements - Perform AI design thinking - Assess progress on the AI Ladder |
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