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| Certification Vendor: | IBM |
|---|---|
| Exam Name: | Assessment: IBM Machine Learning Data Scientist v1 |
| Exam Number: | A1000-144 |
| Available Languages: | English |
| Real Exam Qty: | 61 |
| Exam Format: | Multiple Response, Assessment Exam, Multiple Choice |
| Related Certifications: | IBM Certified Data Scientist - Machine Learning Specialist v1 |
| Passing Score: | 45/61 |
| Exam Duration: | 90 minutes |
| 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 |
|---|---|---|
| Monitor Models in Production | 17% | - Assess the model - Determine whether unfair bias exists in the model - Monitor the model in production |
| Evaluate Business Problem Including Ethical Implications | 21% | - Understand what data is available - Understand business requirements - Understand ethical challenges in the business problem - Assess progress on the AI Ladder - Perform AI design thinking |
| Implement the Proper Model | 26% | - Implement supervised learning using classification - Implement supervised learning using regression - Implement unsupervised learning using dimensional reduction - Implement unsupervised learning using clustering |
| Exploratory Data Analysis Including Data Preparation | 18% | - Identify methods used to clean, label, and anonymize data - Balance and partition data - Visualize data |
| Refine and Deploy the Model | 18% | - Train the model and optimize hyperparameters - Identify operations and transformations used for feature selection and engineering - Configure environment specifications for model training - Implement model explainability - Select appropriate tools |
IBM Assessment: IBM Machine Learning Data Scientist v1 is an official IBM exam, catalogued under the code A1000-144. A pass awards you the IBM Certification certification at the Professional level. It also supports progress toward IBM Certified Data Scientist - Machine Learning Specialist v1. Demand for this credential has stayed strong because it validates skills employers can use from day one.
The IBM Assessment: IBM Machine Learning Data Scientist v1 exam packs 61 questions into 90 minutes. Candidates rarely fail because of one impossible topic; they fail because ten minutes vanished on three stubborn questions. Build a triage habit now: answer, flag, move on, return later. Timed full-length sessions in the ValidDumps test engine are the most honest way to practice that discipline before it counts.
No prerequisite exam required. Candidates should have practical experience with machine learning workflows and IBM Watson Studio.
Vendor policies shift over time, so confirm the current entry conditions before paying any registration fee; the official exam page is the authoritative source.
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IBM Assessment: IBM Machine Learning Data Scientist v1 spans 5 official domains. The most heavily weighted include Implement the Proper Model (26%), Monitor Models in Production (17%), and Refine and Deploy the Model (18%). The full topic list is published above on this page; let the weightings decide where your next study hour goes.
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