PDF Version DemoIn recent years, more and more people choose to take IBM C1000-059 certification exam. Because the exam can help you get the IBM certificate which is an important basis for measuring your IT skills. With the IBM certificate, you can get a better life.
At ITexamGuide, we will offer you the most accurate and latest C1000-059 exam materials. When you are prepared for C1000-059 exam, these exam questions and answers on ITexamGuide.com is absolutely your best assistant. With our IBM study materials, you will be able to pass IBM C1000-059 exam on your first attempt. Also you don't need to spend lots of time on studying other reference books, and you just need to take 20-30 hours to grasp our exam materials well.
ITexamGuide is a website that includes many IT exam materials. Our PDF version & Software version exam questions and answers that are written by experienced IT experts are good in quality and reasonable price, and many customers have been well received. The hit rate is up to 99.9%. Guarantee you pass your C1000-059 exam. And the test engine on ITexamGuide.com will give you simulate the real exam environment. Then, you can deal with the C1000-059 exam with ease.
In our sincerity, for each client with high-quality treatment services every transaction. After you purchase C1000-059 exam materials, we will provide you with one year free update. In order to make the candidates satisfied, our IT experts work hard to get the latest exam materials. We also will check the updates at any time every day. If the materials updated, we will automatically send the latest to your mailbox.
Before you buy, you can try our free demo and download free samples for C1000-059 exam. If you are satisfied, then you can go ahead and purchase the full C1000-059 exam questions and answers.
100% money back guarantee - if you fail your exam, we will give you full refund. You just need to send the scanning copy of your examination report card to us. After confirming, we will quickly refund your money.
And just two steps to complete your order. Then we will send your products to your valid mailbox. After receiving it, you can download the attachment and use the materials.
IBM AI Enterprise Workflow Data Science Specialist Exam Certification Details:
| Exam Price | $200 (USD) |
| Exam Name | IBM Certified Specialist - AI Enterprise Workflow V1 |
| Passing Score | 44 / 62 |
| Number of Questions | 62 |
| Books / Training | Coursera - AI Enterprise Workflow Certification Training |
| Sample Questions | IBM AI Enterprise Workflow Data Science Specialist Sample Questions |
| Schedule Exam | Pearson VUE |
| Duration | 90 mins |
| Exam Code | C1000-059 |
Reference: https://www.ibm.com/certify/exam?id=C1000-059
IBM C1000-059 Exam Syllabus Topics:
| Topic | Details |
|---|---|
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
974 Customer Reviews
Quality and ValueITexamGuide Practice Exams are written to the highest standards of technical accuracy, using only certified subject matter experts and published authors for development - no all study materials.
Tested and ApprovedWe are committed to the process of vendor and third party approvals. We believe professionals and executives alike deserve the confidence of quality coverage these authorizations provide.
Easy to PassIf you prepare for the exams using our ITexamGuide testing engine, It is easy to succeed for all certifications in the first attempt. You don't have to deal with all dumps or any free torrent / rapidshare all stuff.
Try Before BuyITexamGuide offers free demo of each product. You can check out the interface, question quality and usability of our practice exams before you decide to buy.