Welcome to your one-stop solution for all the information you need to excel in the Dell Data Science Foundations 2023 (D-DS-FN-23) Certification exam. This page provides an in-depth overview of the Dell Technologies D-DS-FN-23 Exam Summary, Syllabus Topics, and Sample Questions, designed to lay the foundation for your exam preparation. We aim to help you achieve your Dell Technologies Certified Data Science Foundations certification goals seamlessly. Our detailed syllabus outlines each topic covered in the exam, ensuring you focus on the areas that matter most. With our sample questions and practice exams, you can gauge your readiness and boost your confidence to take on the Dell Technologies Data Science Foundations exam.
Why Dell Technologies Data Science Foundations Certification Matters
The Dell Technologies D-DS-FN-23 exam is globally recognized for validating your knowledge and skills. With the Dell Technologies Certified Data Science Foundations credential, you stand out in a competitive job market and demonstrate your expertise to make significant contributions within your organization. The Dell Data Science Foundations 2023 Certification exam will test your proficiency in the various syllabus topics.
Dell Technologies D-DS-FN-23 Exam Summary:
| Exam Name | Dell Data Science Foundations 2023 |
| Exam Code | D-DS-FN-23 |
| Exam Duration | 90 minutes |
| Exam Questions | 60 |
| Passing Score | 60% |
| Exam Price | $250 (USD) |
| Books / Training | Data Science Foundations |
| Exam Registration | Pearson VUE |
| Sample Questions | Dell Technologies Data Science Foundations Certification Sample Question |
| Practice Exam | Dell Technologies Data Science Foundations Certification Practice Exam |
Dell Technologies D-DS-FN-23 Exam Topics:
| Objective | Details | Weight |
|---|---|---|
| Big Data, Analytics, and the Data Scientist Role |
- Define and describe the characteristics of Big Data - Describe the business drivers for Big Data analytics and data science - Describe the Data Scientist role and related skills |
5% |
| Data Analytics Lifecycle |
- Describe the data analytics lifecycle purpose and sequence of phases - Discovery - Describe details of this phase, including activities and associated roles - Data preparation - Describe details of this phase, including activities and associated roles - Model planning - Describe details of this phase, including activities and associated roles - Model building - Describe details of this phase, including activities and associated roles |
8% |
| Initial Analysis of the Data |
- Explain how basic R commands are used to initially explore and analyze the data - Describe and provide examples of the most important statistical measures and effective visualizations of data - Describe the theory, process, and analysis of results for hypothesis testing and its use in evaluating a model |
15% |
| Advanced Analytics - Theory, Application, and Interpretation of Results for Eight Methods |
- Describe theory, application, and interpretation of results for the following methods:
|
40% |
| Advanced Analytics for Big Data - Technology and Tools |
- Describe the technological challenges posed by Big Data - Describe the nature and use of MapReduce and Apache Hadoop - Describe the Hadoop ecosystem and related product use cases - Describe in-database analytics and SQL essentials - Describe advanced SQL methods: window functions, ordered aggregates, and MADlib |
22% |
| Operationalizing an Analytics Project and Data Visualization Techniques |
- Describe best practices for communicating findings and operationalizing an analytics project - Describe best practices for building project presentations for specific audiences - Describe best practices for planning and creating effective data visualizations |
10% |
The Dell Technologies has created this credential to assess your knowledge and understanding in the specified areas through the D-DS-FN-23 certification exam. The Dell Technologies Certified Data Science Foundations exam holds significant value in the market due to the brand reputation of Dell Technologies. We highly recommend thorough study and extensive practice to ensure you pass the Dell Data Science Foundations 2023 exam with confidence.