One purchase, a year of relevance. Every D-DS-FN-23 buyer at Real4Prep receives 365 days of free updates — each new EMC Dell Data Science Foundations version delivered automatically — plus a 50% renewal discount beyond the year in 2026.
EMC D-DS-FN-23 Exam Overview:
| Certification Vendor: | Dell EMC |
|---|---|
| Exam Name: | Dell Data Science Foundations |
| Exam Number: | D-DS-FN-23 |
| Passing Score: | 60% |
| Related Certifications: | Data Scientist and Big Data Analytics Professional Data Scientist and Big Data Analytics Expert |
| Available Languages: | English |
| Exam Duration: | 90 minutes |
| Exam Format: | Drag and Drop, Scenario-based Questions, Multiple Choice |
| Real Exam Qty: | 59-60 |
| Exam Price: | $230 USD |
| Certificate Validity Period: | 3 years |
| Recommended Training: | Dell Technologies Data Science Foundations Training Course |
| Exam Registration: | Pearson VUE Registration |
| Sample Questions: |  |
| Exam Way: | Online proctored or Onsite at Pearson VUE test centers |
| Pre Condition: | No mandatory prerequisites; recommended 6+ months of experience in data-related work or basic knowledge of statistics and programming |
| Official Syllabus URL: | https://learning.dell.com/content/dell/en/home/certification-overview/available-exams/data-scientist-and-big-data-analytics-foundations.html |
EMC D-DS-FN-23 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Advanced Analytics Methods | 25% | - Linear and Logistic Regression - Text Analytics basics - Decision Trees and Naive Bayes - Association Rules - Time Series Analysis - Clustering: K-means, Hierarchical |
| Data Analytics Lifecycle | 15% | - Phases: Discovery, Data Preparation, Model Planning, Model Building, Communicate Results, Operationalize - Key activities and deliverables in each phase |
| Initial Data Analysis and Statistics | 20% | - Statistical inference, hypothesis testing, and probability concepts - Descriptive statistics and exploratory data analysis - Basic data visualization techniques and interpretation - Introduction to R or Python for basic analysis |
| Operationalization and Visualization | 10% | - Deploying and maintaining analytics solutions - Building effective dashboards and reports - Communicating insights and results to stakeholders |
| Big Data Technologies and Tools | 10% | - Storage and processing frameworks for large datasets - Cloud and distributed computing concepts - Big Data ecosystem components: Hadoop, Spark, NoSQL |
| Data Collection and Preparation | 15% | - Data cleaning, integration, transformation, and quality assessment - Data sources and acquisition methods - Data governance and security basics |
| Big Data, Analytics, and the Data Scientist Role | 5% | - Role and required skills of a Data Scientist - Characteristics of Big Data - Business drivers for Big Data and analytics |
Measurable EMC Dell Data Science Foundations Prep: Questions Answered
EMC recommends the following official training options:
Combine a recommended course with score-tracked practice tests for a preparation you can measure.
Written down, so you have nothing to worry about. If you fail the corresponding exam within 60 days of purchase, send us a scanned copy of your enrollment slip and your official Score Report PDF within two days of the exam date; verified claims receive a full refund within seven days. Exclusions: exams taken within three days of purchase, candidate names that differ from the payer, and free or expired products. Prefer a different direction? Exchange your product for two others of equal value at no charge.
Use the official registration channels below:
Select a test center or online appointment, and book early enough to leave room for score-tracked practice.
Upon successful payment, our system automatically emails the product to your mailbox — typically within about a minute — with an instant download link on screen. The testing engine is user-friendly and easy to install, so practice starts immediately. If nothing arrives within two hours, check your spam folder and contact our 24/7 Customer Service. Once purchased, you are granted access to all updates for 365 days, delivered automatically on release, with a 50% renewal discount afterward.
According to the latest exam information, the D-DS-FN-23 exam contains 59-60 questions within 90 minutes minutes. The testing engine reproduces that scope and calculates your final practice score — a useful reference for judging real-exam readiness.
At present, the D-DS-FN-23 exam requires a passing score of 60%, with a registration fee of $230 USD. EMC sets both figures and may revise them, so confirm on the official site before you schedule.
The EMC Dell Data Science Foundations blueprint covers these core domains:
- Advanced Analytics Methods (25%)
- Operationalization and Visualization (10%)
- Big Data Technologies and Tools (10%)
Further domains complete the official outline; the question bank addresses all of them.
With data, not guesswork. The D-DS-FN-23 testing engine is user-friendly and easy to install; upon completion of each practice test, it calculates your final score, giving you a concrete reference for the real exam. Behind the tools, professionals and IT specialists compose the materials, and every answer is expert-verified — aligned with the real exam's format across the EMC Dell Data Science Foundations objectives. Before buying, try the free demo questions to test your knowledge; after buying, 24/7 Customer Service and Live Support assist with any problem, and you can ask the team for a discount code. That is the remarkable experience we work to provide.
EMC states the following prerequisites for the EMC Dell Data Science Foundations: No mandatory prerequisites; recommended 6+ months of experience in data-related work or basic knowledge of statistics and programming.
Check the authoritative wording on the official certification page before booking.
EMC Dell Data Science Foundations Sample Questions:
The Marketing department of your company wishes to track opinion on a new product that was recently introduced. Marketing would like to know how many positive and negative reviews are appearing over a given period and potentially retrieve each review for more in- depth insight.
They have identified several popular product review blogs that historically have published thousands of user reviews of your company's products. You have been asked to provide the desired analysis.
You examine the RSS feeds for each blog and determine which fields are relevant. You then craft a regular expression to match your new product's name and extract the relevant text from each matching review.
What is the next step you should take?
- A. Read the extracted text for each review and manually tabulate the results
- B. Use the extracted text and your regular expression to perform a sentiment analysis based on mentions of the new product
- C. Group the reviews using Naïve Bayesian classification
- D. Convert the extracted text into a suitable document representation and index into a review corpus
Correct Answer: D 🗳️
What is the purpose of applying the naive Bayes conditional independence assumption?
- A. To minimize rounding errors in probability calculations
- B. To simplify the probability calculations
- C. To calculate the probability of rare events
- D. To accurately calculate each probability
Correct Answer: B 🗳️
Explanation: Only visible for Real4Prep members. You can sign-up / login (it's free).
What is a benefit of Spark in-memory data processing as opposed to using MapReduce?
- A. Avoids writing intermediate data to disk, which speeds up processing
- B. Removes the need to use disks at all, which reduces cost
- C. Supports processing unstructured data, which MapReduce does not allow
- D. Allows parallel processing, which MapReduce does not support
Correct Answer: A 🗳️
Explanation: Only visible for Real4Prep members. You can sign-up / login (it's free).
Your colleague, who is new to Hadoop, approaches you with a question. They want to know how best to access their data. This colleague has a strong background in data flow languages and programming.
Which query interface would you recommend?
- A. Pig
- B. Howl
- C. HBase
- D. Hive
Correct Answer: A 🗳️
Which analytic technique would be appropriate to estimate blood pressure based on age and weight?
- A. K-means clustering
- B. Naïve Bayesian classification
- C. Time series analysis
- D. Linear regression
Correct Answer: D 🗳️
