Use this quick start guide to collect all the information about IBM Watson Specialist Data Scientist (C1000-154) Certification exam. This study guide provides a list of objectives and resources that will help you prepare for items on the C1000-154 IBM Watson Data Scientist v1 exam. The Sample Questions will help you identify the type and difficulty level of the questions and the Practice Exams will make you familiar with the format and environment of an exam. You should refer this guide carefully before attempting your actual IBM Watson Specialist Data Scientist certification exam.
The IBM Watson Specialist Data Scientist certification is mainly targeted to those candidates who want to build their career in IBM Data and AI - Data and AI domain. The IBM Certified Data Scientist - Watson Specialist v1 exam verifies that the candidate possesses the fundamental knowledge and proven skills in the area of IBM Watson Specialist Data Scientist.
IBM Watson Specialist Data Scientist Exam Summary:
| Exam Name | IBM Certified Data Scientist - Watson Specialist v1 |
| Exam Code | C1000-154 |
| Exam Price | $200 (USD) |
| Duration | 90 mins |
| Number of Questions | 60 |
| Passing Score | 68% |
| Books / Training | IBM Data Scientist |
| Schedule Exam | Pearson VUE |
| Sample Questions | IBM Watson Specialist Data Scientist Sample Questions |
| Practice Exam | IBM C1000-154 Certification Practice Exam |
IBM C1000-154 Exam Syllabus Topics:
| Topic | Details | Weights |
|---|---|---|
| Understand the business problem |
- Help business articulate and define business problems
- Identify analytic techniques to address requirements |
7% |
| Collect and explore the data |
- Identify appropriate data sources
- Collect data - Assess data quality - Perform exploratory data analysis - Connect and ingest all data sources |
15% |
| Prepare the data |
- Preprocess and combine data from various data sources
- Clean and validate the data - Data integration - Feature selection and engineering |
18% |
| Build the model |
- Select the right model class and toolset
- Split data - Create models |
17% |
| Evaluate the model |
- Perform hyper-parameter tuning
- Compare the performance of different models |
12% |
| Deploy the solution |
- Understand deployment environment considerations
- Create data pipelines to automate model lifecycle - Deploy models in a production setting - Validate model performance to business outcomes |
10% |
| Governance and compliance |
- Govern and manage data
- Govern and manage models |
5% |
| Vizualization and Storytelling |
- Utilize appropriate visualizations and tools
- Articulate findings to business community |
10% |
| Strategy and Lifecycle |
- Understand and utilize the Data Science/AI Lifecycle
- Collaborate with IT on technical and data architectures - Illustrate the value of governed data - Understand and articulate IBM Cloud Pak for Data value proposition |
6% |
To ensure success in IBM Watson Specialist Data Scientist certification exam, we recommend authorized training course, practice test and hands-on experience to prepare for IBM Watson Data Scientist v1 (C1000-154) exam.