IBM AI Enterprise Workflow Data Science Specialist Exam Certification Details:
| Exam Price | $200 (USD) |
| Exam Code | C1000-059 |
| Books / Training | Coursera - AI Enterprise Workflow Certification Training |
| Number of Questions | 62 |
| Exam Name | IBM Certified Specialist - AI Enterprise Workflow V1 |
| Schedule Exam | Pearson VUE |
| Duration | 90 mins |
| Sample Questions | IBM AI Enterprise Workflow Data Science Specialist Sample Questions |
| Passing Score | 44 / 62 |
Reference: https://www.ibm.com/certify/exam?id=C1000-059
IBM C1000-059 Exam Syllabus Topics:
| Topic | Details |
|---|---|
| Applications of Data Science and AI in Business | - Identify use cases where artificial intelligence solutions can address business opportunities - Translate business opportunities into a machine learning scenario - Differentiate the categories of machine learning algorithms and the scenarios where they can be used - Show knowledge of how to communicate technical results to business stakeholders - Demonstrate knowledge of scenarios for application of machine learning |
| Application of Data Science and AI techniques and models | - Explain machine learning algorithms and the theoretical basis behind them - Demonstrate practical experience building machine learning models and using different machine learning algorithms |
| Deployment of AI models | - Describe the key considerations when selecting a platform for AI model deployment - Demonstrate knowledge of requirements for model monitoring, management and maintenance - Identify IBM technology capabilities for building, deploying, and managing AI models |
| Evaluation of AI models | - Identify different evaluation metrics for machine learning algorithms and how to use them in the evaluation of model performance - Demonstrate successful application of model validation and selection methods - Show mastery of model results interpretation - Apply techniques for fine tuning and parameter optimization |
| Data preparation techniques in Data Science and AI | - Demonstrate expertise cleaning data and addressing data anomalies - Show knowledge of feature engineering and dimensionality reduction techniques - Demonstrate mastery preparing and cleaning unstructured text data |
| Scientific, Mathematical, and technical essentials for Data Science and AI | - Explain the difference between Descriptive, Prescriptive, Predictive, Diagnostic, and Cognitive Analytics - Describe and explain the key terms in the field of artificial intelligence (Analytics, Data Science, Machine Learning, Deep Learning, Artificial Intelligence etc.) - Distinguish different streams of work within Data Science and AI (Data Engineering, Data Science, Data Stewardship, Data Visualization etc.) - Describe the key stages of a machine learning pipeline. - Explain the fundamental terms and concepts of design thinking - Explain the different types of fundamental Data Science - Distinguish and leverage key Open Source and IBM tools and technologies that can be used by a Data Scientist to implement AI solutions - Explain the general properties of common probability distributions. - Explain and calculate different types of matrix operations |
| Technology Stack for Data Science and AI | - Describe the differences between traditional programming and machine learning - Demonstrate foundational knowledge of using python as a tool for building AI solutions - Show knowledge of the benefits of cloud computing for building and deploying AI models - Show knowledge of data storage alternatives - Demonstrate knowledge on open source technologies for deployment of AI solutions - Demonstrate basic understanding of natural language processing - Demonstrate basic understanding of computer vision - Demonstrate basic understanding of IBM Watson AI services |
| Data understanding techniques in Data Science and AI | - Demonstrate knowledge of data collection practices - Explain characteristics of different data types - Show knowledge of data exploration techniques and data anomaly detection - Use data summarization and visualization techniques to find relevant insight |
We are an authorized leading company in IT certification filed providing C1000-059 actual test & test VCE dumps for IBM AI Enterprise Workflow V1 Data Science Specialist. If you get in trouble about C1000-059 actual test, congratulations, you find us, we can help you face actual test with full confidence, our test VCE dumps also will help you realize the key knowledge and points so that you will learn C1000-059 better and you will be skilled at the practice uses of IBM AI Enterprise Workflow V1 Data Science Specialist. Our VCE dumps aim to not only help you pass exam for sure but also help you master an exam subject.
• Based On Real C1000-059 Actual Tests
• One-hand Official Stable News Resource
• Regularly Updated with New Test Dumps
• Easy-to-read Layout of VCE Engine
• Well-Prepared by Our Professional Experts
• Printable C1000-059 PDF Dumps
• 24 Hour On-line Customer Service Support
• Free C1000-059 PDF Demo Download
Instant Download: Our system will send you the IBM AI Enterprise Workflow V1 Data Science Specialist braindumps files you purchase in mailbox in a minute after payment. (If not received within 12 hours, please contact us. Note: don't forget to check your spam.)
How can we help you pass C1000-059 actual test effectively? For many IT workers, your jobs are busy and competitive; you have no enough energy to study an exam subject like students in the class, you may more care about actual test score of IBM AI Enterprise Workflow V1 Data Science Specialist. Yes, with our C1000-059 Test VCE dumps, you will just master the questions & answers of our VCE dumps, it will just takes you 15-30 hours to memorize these and then you can attend C1000-059 exam. When you look at the actual test questions, you will find it similar with our dumps and feel it casual. After finishing actual test, you will receive your passing score of IBM AI Enterprise Workflow V1 Data Science Specialist. So if your purpose is just to pass exam, our C1000-059 Test VCE dumps will help you pass successfully after 15-30 hours' preparation. It is more effective than any other ways.
How can we help you master C1000-059 exam subject with our Test VCE dumps for IBM AI Enterprise Workflow V1 Data Science Specialist? Yes, except that our dumps include valid questions & answers materials of actual real test, our C1000-059 Test VCE dumps attach a lot of answers explanations details so that you can know why it is, how it can be and the way of thinking. A lot of key knowledge derives from answers explanations. If you have interest in Test VCE dumps for IBM AI Enterprise Workflow V1 Data Science Specialist, you can use the internet to delve deeper. With our test dumps you will have a right way to studying so that you will get twofold results with half the effort.
How can we make sure every candidate's money guaranteed and information safety? Yes, we believe we are offering the best value (C1000-059 Test VCE dumps) in the market. In most cases, we will have a good cooperation. If you worry about our Test VCE dumps for IBM AI Enterprise Workflow V1 Data Science Specialist, if you hope your money guaranteed, Credit Card is the safest and fastest way for international trade business. Normally we advise every candidates pay by Credit Card with credit cards while purchasing our C1000-059 Test VCE dumps. Credit Card is the world-wide & frequently used in international trade business, and also is safe for both buyers and sellers. In normal condition, we guarantee you can pass actual test surely with our C1000-059 Test VCE dumps. But if you fail the exam please rest assured that we will refund your dumps cost to you soon without any condition. Besides, your information will be strictly confidential with our precise information system.
All in all, it will be a wise thing to choose our Test VCE dumps for IBM AI Enterprise Workflow V1 Data Science Specialist. Trust us, we will offer you the best products for your C1000-059 actual test and the satisfactory service in one-year service warranty. If you have any questions about IBM C1000-059 or IBM Data and AI: Data and AI we will try our best to serve for you.
