Exam Name: IBM AI Enterprise Workflow V1 Data Science Specialist
Certification Provider: IBM
Corresponding Certification: IBM Data and AI: Data and AI
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Updated: Nov 06, 2026
No. of Questions: 64 Questions & Answers with Testing Engine
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IBM C1000-059 Exam Overview:
| Certification Vendor: | IBM |
|---|---|
| Exam Name: | IBM AI Enterprise Workflow V1 Data Science Specialist |
| Exam Number: | C1000-059 |
| Related Certifications: | IBM Certified Specialist - AI Enterprise Workflow V1 |
| Available Languages: | English |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored or authorized test center delivery (availability depends on IBM certification policies). |
| Pre Condition: | No formal prerequisite exam required. Recommended experience in data science, machine learning, Python, and AI workflow concepts. |
| Official Syllabus URL: | https://www.ibm.com/training/certification/ibm-certified-specialist-ai-enterprise-workflow-v1-C0004400 |
IBM C1000-059 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: AI Workflow Deployment and Production | - Model Deployment - Monitoring and Maintenance - Workflow Orchestration - Model Lifecycle Management |
| Topic 2: Business Priorities and Data Ingestion | - Business Priorities - Data Ingestion |
| Topic 3: Enterprise AI Solutions | - Enterprise Workflow Optimization - Scalable AI Architectures - Operationalizing AI - IBM Cloud Integration |
| Topic 4: Machine Learning and Feature Engineering | - Model Training - Feature Engineering - Model Evaluation - Data Preparation - Model Selection |
| Topic 5: Specialized AI Applications | - Natural Language Processing - Computer Vision - Advanced AI Use Cases |
C1000-059 Exam FAQ: What Candidates Ask Most
The IBM C1000-059 exam, officially titled IBM AI Enterprise Workflow V1 Data Science Specialist, is the required test for earning the IBM Data and AI: Data and AI certification, a credential at the Specialist level. Passing it validates the skills IBM expects from certified professionals, and it can also support progress toward related credentials such as IBM Certified Specialist - AI Enterprise Workflow V1.
IBM asks candidates to meet the following requirement before registering: No formal prerequisite exam required. Recommended experience in data science, machine learning, Python, and AI workflow concepts.. Exam policies do change, so confirm the latest details on the official exam page at https://www.ibm.com/training/certification/ibm-certified-specialist-ai-enterprise-workflow-v1-C0004400 before you book.
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The IBM AI Enterprise Workflow V1 Data Science Specialist exam is organized into 5 major domains. Some of the key domains include:
- Machine Learning and Feature Engineering
- Business Priorities and Data Ingestion
- AI Workflow Deployment and Production
Scroll up to the Exam Topics section for the complete breakdown, and use it to plan how much study time each domain deserves.
IBM AI Enterprise Workflow V1 Data Science Specialist Sample Questions:
What are three elements that are typically part of a machine learning pipeline in scikit-learn or pyspark?
(Choose three.)
- A. use case selection
- B. business understanding
- C. model building
- D. data exploration
- E. data preprocessing
- F. model prediction
Correct Answer: D,E,F 🗳️
What is used to scale large positive values during data cleaning?
- A. logarithm
- B. division by random numbers
- C. subtract median
- D. square
Correct Answer: B 🗳️
What are three operators used by genetic programming? (Choose three.)
- A. selection
- B. reciprocation
- C. crossover
- D. mutation
- E. duel
- F. sheltering
Correct Answer: A,C,E 🗳️
What are two key characteristics of cloud architecture that could benefit AI applications? (Choose two.)
- A. support for common business oriented language (COBOL) applications
- B. the hardware requirement can be scaled up as per the demand
- C. hybrid clouds enable the deployment of distributed large neural networks
- D. capable of managing and handling dynamic workloads with automatic recovery from failures
- E. constant attention needed for maintenance and support of the cloud platform
Correct Answer: B,D 🗳️
In machine vision, the algorithm for detecting objects or features in an image based on a target pattern is known as?
- A. Hough transformation
- B. normalized correlation
- C. Fourier transform
- D. OCR
Correct Answer: B 🗳️
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