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D-DS-FN-23 PDF

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  • Questions: 59 Q&A's With Detailed Explanation
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  • Exam Name: Dell Data Science Foundations
  • Last Update: 24-May-2025
  • Questions and Answers: 59
  • Single Choice: 58 Q&A's
  • Drag Drop: 1 Q&A's

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The D-DS-FN-23 exam, officially "Dell Data Science D-DS-FN-23 - Dell Data Science Foundations Dumps Foundations 2023," is a foundational certification that validates a candidate's understanding of data analytics practices, the data scientist role, and the key phases of the Data Analytics Lifecycle within a Big Data context. For comprehensive exam insights, explore resources like Crack4sure.

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The exam's core topics include Big Data fundamentals, the Data Analytics Lifecycle, initial data analysis with R, various advanced analytics methods (e.g., K-means, regression, decision trees), Big Data EMC Exam Dumps technologies like Hadoop, and operationalizing analytics projects with data visualization. Crack4sure can help you focus on these high-weightage topics.

As an associate-level exam, the D-DS-FN-23 assesses foundational data science concepts. Its difficulty is manageable with dedicated study and practice, making it accessible for those entering the data science field.

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Earning the Dell EMC Data Science Associate certification validates your foundational skills in data analytics, enhancing your resume, improving job prospects in data-centric roles, and establishing a baseline for further specialization in the data science career path.

D-DS-FN-23 Questions and Answers

Question # 1

Which phase of the data analytic lifecycle includes conducting project sponsor interviews and drafting a problem statement?

A.

Operationalize

B.

Model planning

C.

Model building

D.

Discovery

Question # 2

Match each task to its description.

D-DS-FN-23 question answer

Question # 3

Which component of a final presentation provides a succinct overview of the business situation that was the impetus to initiate the project?

A.

Model description

B.

Approach

C.

Project goals

D.

Recommendations

Question # 4

What converts SQL-like commands into either Tez, Spark, or MapReduce jobs that are submitted to the Hadoop cluster?

A.

Pig

B.

HBase

C.

Hive

D.

Mahout

Question # 5

In K-means clustering, what is a graph of the WSS versus the value of K used to help determine?

A.

Optimal distance between clusters

B.

Average distance between observations

C.

'Optimal number of clusters

D.

Average distance between clusters

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