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EMC D-DS-FN-23 Exam Overview:

Certification Vendor:Dell Technologies
Exam Name:Dell Data Science Foundations
Exam Number:D-DS-FN-23
Exam Format:Scenario-Based, Multiple Choice
Available Languages:English
Related Certifications:Dell Technologies Proven Professional Data Science Foundations
Exam Duration:90 minutes
Sample Questions: DOWNLOAD DEMO
Exam Way:Online or test center proctored exam
Pre Condition:Sufficient knowledge through hands-on experience and/or recommended Dell training
Official Syllabus URL:https://learning.dell.com/content/dell/en-us/home/certification-overview/certificationandbadges/data-scientist-and-big-data-analytics-foundations.html

EMC D-DS-FN-23 Exam Syllabus Topics:

SectionWeightObjectives
Big Data, Analytics, and the Data Scientist Role5%- Big Data Concepts
  • 1. Characteristics of Big Data
  • 2. Business drivers for Big Data analytics and data science
  • 3. Data Scientist role and related skills
Initial Analysis of the Data15%- Data Exploration and Statistics
  • 1. Hypothesis testing and model evaluation
  • 2. Basic R commands for data analysis
  • 3. Statistical measures and visualizations
Data Analytics Lifecycle8%- Lifecycle Phases
  • 1. Model building phase activities and roles
  • 2. Data preparation phase activities and roles
  • 3. Discovery phase activities and roles
  • 4. Model planning phase activities and roles
Operationalizing an Analytics Project and Data Visualization Techniques10%- Project Operationalization and Visualization
  • 1. Planning and creating effective data visualizations
  • 2. Communicating findings and operationalizing analytics projects
  • 3. Building project presentations for audiences
Advanced Analytics - Theory, Application, and Interpretation of Results for Eight Methods40%- Analytics Methods
  • 1. Linear regression
  • 2. Logistic regression
  • 3. Text analytics
  • 4. Time series analysis
  • 5. K-means clustering
  • 6. Decision trees
  • 7. Naïve Bayesian classifiers
  • 8. Association rules
Advanced Analytics for Big Data - Technology and Tools22%- Big Data Technologies
  • 1. In-database analytics and SQL essentials
  • 2. Technological challenges posed by Big Data
  • 3. MapReduce and Apache Hadoop
  • 4. Advanced SQL methods including window functions, ordered aggregates, and MADlib
  • 5. Hadoop ecosystem and related use cases

The EMC D-DS-FN-23 Exam, Question by Question

The D-DS-FN-23 exam is how EMC decides who earns the Dell Data Science certification, which sits at the Foundational level. It measures practical command of the EMC Dell Data Science Foundations objectives — the skills you'd actually use on the job — which is why it carries weight with employers in a competitive market. It's also part of a wider certification family that includes Dell Technologies Proven Professional Data Science Foundations, so the effort you invest here keeps paying off as you advance. Candidates do best when they treat the exam as a skills check, not a memory test.

EMC organizes the EMC Dell Data Science Foundations syllabus into 6 domains, opening with Advanced Analytics - Theory, Application, and Interpretation of Results for Eight Methods (40%), Advanced Analytics for Big Data - Technology and Tools (22%), and Initial Analysis of the Data (15%). Those weightings are a gift: they tell you where the points concentrate, so you can front-load the domains that decide your score. The full breakdown lives in the exam topics section above — build your study plan around it.

EMC lists the EMC Dell Data Science Foundations question types as: Multiple Choice, Scenario-Based. Knowing the list is half the battle; the other half is practicing against each type until its mechanics are boring. For lengthy scenario items, anchor on the actual question sentence before digesting the stem. Exam4Docs's 358 practice questions cover these formats, so nothing on your screen in the exam room is a first encounter.

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EMC Dell Data Science Foundations Sample Questions:

Question #1

What is a motivation for using a data analytics lifecycle?

  • A. Limits the amount of data needed
  • B. Creates a repeatable process
  • C. Guarantees a successful project
  • D. Explores all possible approaches
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #2

You have been assigned to do a study of the daily revenue effect of apricing model of online transactions.
When have you completed the analytics lifecycle?

  • A. You have a completely developed model based on both a sample of the data and the entire set of data available.
  • B. You have presented the results of the model to both the internal analytics team and the business owner of the project.
  • C. You have written documentation, and the code has been handed off to the Data Base Administrator and business operations.
  • D. You have a completely developed model, and the results have shown statistically acceptable results.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Question #3

What are two data categories that represent quantitative data?

  • A. Ratio and interval
  • B. Nominal and ratio
  • C. Nominal and ordinal
  • D. Ordinal and interval
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #4

When would you use GROUP BY ROLLUP clause in your OLAP query?

  • A. where all subtotals and grand totals are to be included in the output
  • B. where only specific subtotals and grand totals for a combination of variables are to be included in the output
  • C. where only the grand totals are to be included in the output
  • D. where only the subtotals are to be included in the output
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #5

Refer to the exhibit.

You ran a linear regression, and the final output is seen in the exhibit. Based only on the information in the exhibit and an acceptable confidence level of 95%, how would you interpret the interaction of variable D with the dependent variable?

  • A. Variable D is more significant than variables A, B, and C.
  • B. For every 1 unit increase in variable D, holding all other variables constant, we can expect the dependent variable to increase by 10.23 units
  • C. In this model, Variable D is not significantly interacting with the dependent variable
  • D. For every 1 unit increase in variable D, holding all other variables constant, we can expect the dependent variable to be multiplied by 10.23 units
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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