• Exam Breakdown
  • Domain Breakdown
  • Access Breakdown

Exam Format

  •  Exam Code: D-DS-FN-23
  •  Certification Level: Proven Professional
  •  Exam Duration: 90 minutes (typical)
  •  Passing Score: Not officially published by Dell (commonly estimated around ~60-63%)
  •  Unscored Content: The exam may include unscored research questions that are not identified and do not affect your score.

Exam Details

  •  Question Types: Multiple choice, multiple answer, and scenario-based questions
  •  Number of Questions: Approximately 60 questions
  •  Hands-On Questions: The exam focuses on knowledge and analytical understanding rather than live lab simulations.

Exam Policies

  •  Offline Proctoring: Must be canceled or rescheduled according to Pearson VUE or Dell exam provider policies (typically with required notice).
  •  Online Proctoring: Can be canceled prior to the scheduled session per provider rules.
  •  Waiting Period: Re-take and waiting period policies are determined by Dell and Pearson VUE procedures.
  •  Retake Fee: Full exam fee must be paid for each retake attempt.

Certification Validity and Renewal

  •  Validity: Dell Technologies Proven Professional certifications generally remain valid until the certification is retired or updated by Dell Technologies.
  •  Renewal Options: Candidates may recertify by passing a newer version of the exam or advancing to higher-level certifications within Dell’s data science or analytics tracks.

Exam Fee

  •  Base Fee: Pricing varies by region and is set at the time of scheduling through Pearson VUE.
  •  Taxes: Country-specific VAT/GST may apply.
    . Example: In India, applicable GST (e.g., 18%) will be added to the base fee.

Official fee must be confirmed at checkout on the Pearson VUE portal.

Prerequisites

There are no formal prerequisites for taking the D-DS-FN-23 exam. However, successful candidates typically benefit from:
  •  Basic familiarity with data analytics concepts and processes
  •  Understanding of core data science terminology and statistical reasoning
  •  Exposure to big data ecosystem principles and analytics-related tools or coursework

Exam Topics

The major topic areas covered on the D-DS-FN-23 exam include the following domains:
  • Big Data, Analytics, & the Data Scientist Role – Foundation of big data, key responsibilities of data scientists, and analytics value
  • Data Analytics Lifecycle – Stages from business understanding to deployment
  • Data Collection & Exploration – Exploring, cleaning, and preparing data for analysis
  • Analytical Methods – Core analytical techniques such as regression, classification, clustering, and beyond
  • Big Data Tools & Technologies – Overview of key tools like Hadoop and MapReduce and their roles
  • Communicating Insights & Visualization – Basics of presenting analytical findings effectively

Intended Audience

The D-DS-FN-23 exam is ideal for professionals beginning a career in data science and analytics, including roles such as:
  •  Entry-level Data Scientist
  •  Business/Data Analyst
  •  Junior Data Engineer
  •  Big Data Analytics Specialist
  •  Analytics Consultant

Career Impact

  • Jobs You Can Get: Entry-level data analyst, analytics specialist, junior data scientist, big data associate, research analyst.
  • Why It’s Valuable: This certification provides foundational validation of core data science knowledge and analytics skills, making it valuable for professionals starting analytics careers or transitioning into data-centric roles.

Exam Mode

The exam is proctored and can be taken either:
  • In-person at authorized Pearson VUE testing centres
  • Online through Pearson VUE’s secure online proctoring system (where available)

Exam Booking Link

Book your Dell Data Science Foundations exam via Pearson VUE: https://www.pearsonvue.com/us/en/dell.html

Once you pass the exam:

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    Top Reasons to Choose
    Dell Technologies Data Science Foundations

    Foundation in Data Science and Analytics Skills

    Organizations rely on data-driven decision-making across industries. This certification validates foundational knowledge of analytics, data processing, and statistical methods, enabling professionals to participate effectively in enterprise data science and big data projects.

    Understanding of Big Data Technologies

    The certification introduces big data tools, analytics lifecycle processes, and machine learning concepts. Professionals gain practical knowledge to analyze data, build models, and support enterprise analytics initiatives.

    Career Growth and Industry Recognition

    Dell Proven Professional certifications are globally recognized in data and analytics domains. This credential enhances professional credibility and supports career advancement in data science and analytics roles.

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