- 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- Renewal Options: Candidates may recertify by passing a newer version of the exam or advancing to higher-level certifications within Dell’s data science or analytics tracks.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:
- Your certification result will be reflected in Dell CertTracker (typically within 24–72 hours).
- Log in to CertTracker to download your certificate (PDF).
- CertTracker link: https://www.dell.com/support/education-certification/certtracker
Offers
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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.
Top Certifications
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FAQ
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Who should take the Dell Technologies Data Science Foundations exam?
The exam is designed for professionals beginning a career in data science and analytics. It is suitable for individuals interested in big data, data analytics, and machine learning concepts who want foundational knowledge to participate in analytics projects.
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How difficult is the Dell Technologies Data Science Foundations exam?
The exam is considered moderately challenging because it focuses on foundational data science concepts, analytics lifecycle processes, and statistical methods. Candidates must understand big data technologies and analytics workflows. Basic knowledge of statistics and data analysis improves preparation and success rates.
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Why does Dell offer the Data Science Foundations certification?
Dell offers this certification to validate foundational data science knowledge required for analytics projects. The certification helps organizations identify professionals capable of contributing to data-driven decision-making and enterprise analytics initiatives.
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What tools and resources can be used to prepare for the Dell Technologies Data Science Foundations exam?
Candidates can prepare using Dell Learning training courses, official documentation, and hands-on experience with analytics tools. Studying statistics, data analysis techniques, and big data concepts helps build knowledge aligned with certification objectives.
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Is the Dell Technologies Data Science Foundations certification still valuable in 2026?
Yes, the certification remains valuable in 2026 because data analytics and artificial intelligence continue to drive digital transformation. The credential validates foundational data science skills supporting analytics and data engineering career paths.
