This page is a one-stop solution for any information you may require for Dell Technologies Data Scientist and Big Data Analytics Foundations 2023 (D-DS-FN-23) Certification exam. The Dell Technologies D-DS-FN-23 Exam Summary, Syllabus Topics and Sample Questions provide the base for the actual Data Scientist and Big Data Analytics Foundations 2023 exam preparation, we have designed these resources to help you get ready to take your dream exam.
The Dell Technologies Data Scientist and Big Data Analytics Foundations 2023 credential is globally recognized for validating Data Scientist and Big Data Analytics Foundations knowledge. With the Data Scientist and Big Data Analytics Foundations 2023 Certification credential, you stand out in a crowd and prove that you have the Data Scientist and Big Data Analytics Foundations knowledge to make a difference within your organization. The Dell Technologies Data Scientist and Big Data Analytics Foundations 2023 Certification (D-DS-FN-23) exam will test the candidate's knowledge on following areas.
Dell Technologies D-DS-FN-23 Exam Summary:
| Exam Name | Dell Technologies Data Scientist and Big Data Analytics Foundations 2023 |
| Exam Code | D-DS-FN-23 |
| Exam Duration | 90 minutes |
| Exam Questions | 60 |
| Passing Score | 60% |
| Exam Price | $230 (USD) |
| Books |
Data Science and Big Data Analytics v2 - Classroom (ES712OCMDSBDA) (Instructor-Led) Data Science and Big Data Analytics v2 - Virtual Classroom (ES722OCMDSBDA) (Virtual Instructor-Led) Data Science and Big Data Analytics v2 - On-Demand Course (ES732OCMDSBDA) (On-Demand) Data Science and Big Data Analytics v2 - Classroom (ES742OCMDSALN) (On-Demand Lab) Data Science and Big Data Analytics v2 - Virtual Classroom (ES742OCMDSALE) (On-Demand Lab) |
| Exam Registration | Pearson VUE |
| Sample Questions | Data Scientist and Big Data Analytics Foundations Certification Sample Question |
| Practice Exam | Data Scientist and Big Data Analytics 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 the knowledge and understanding of a candidate in the area as above via the certification exam. The Data Scientist and Big Data Analytics Foundations (D-DS-FN-23) Certification exam contains a high value in the market being the brand value of the Dell Technologies attached with it. It is highly recommended to a candidate to do a thorough study and also get a hand full of the practice to clear Dell Technologies Data Scientist and Big Data Analytics Foundations 2023 exam without any hiccups.