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

Topic	Details
Topic 1	Data Analytics Lifecycle: This section of the exam measures the skills of an Entry-Level Data Analyst and explains the purpose and phases of the data analytics lifecycle. It includes understanding key activities and roles involved in the discovery, data preparation, model planning, and model building phases to successfully manage analytics projects.
Topic 2	Initial Analysis of the Data: This section of the exam measures the skills of a Data Science Enthusiast and focuses on the first steps in analyzing data. It explains how basic R commands are used for exploration, discusses important statistical measures and visualizations, and describes hypothesis testing techniques for evaluating models.
Topic 3	Advanced Analytics - Theory, Application, and Interpretation of Results for Eight Methods: This section of the exam measures the skills of an Entry-Level Data Analyst and covers foundational knowledge in various advanced analytics methods. Topics include the theory, application, and interpretation of K-means clustering, association rules, linear and logistic regression, naïve Bayesian classifiers, decision trees, time series analysis, and text analytics.
Topic 4	Big Data, Analytics, and the Data Scientist Role: This section of the exam measures the skills of a Data Science Enthusiast and covers the basic concepts of Big Data, including its defining characteristics and the business drivers behind its rise. It also introduces the role of the Data Scientist, highlighting the critical skills needed in the data science field.

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EMC Dell Data Science Foundations Sample Questions (Q200-Q205):

NEW QUESTION # 200
Which analytical method is considered unsupervised?

A. Naïve Bayesian classifier
B. Decision tree
C. K-means clustering
D. Linear regression

Answer: C

NEW QUESTION # 201
In text analysis, what makes the corpus representation dynamic?

A. Requirement to update index and corpus metrics continuously
B. Algorithms used to determine the classification or tagging
C. Inherent high dimensionality in the problem of text analysis
D. Search and retrieval process for finding the document that meets the search criteria

Answer: A

NEW QUESTION # 202
You have been assigned to run a linear regression model for each of 5, 000 distinct districts, and all the data is currently stored in a PostgreSQL database.
Which tool/library would you use to produce these models with the least effort?

A. HBase
B. Mahout
C. MADlib
D. R

Answer: C

NEW QUESTION # 203
Which participant in a data analytics project is typically responsible for assessing the validity of the model?

A. Project manager
B. Project sponsor
C. Data scientist
D. Business user

Answer: C

NEW QUESTION # 204
What characterizes the Hadoop Distributed File System?

A. Peer to peer system designed to run on custom designed hardware
B. Master/ slave system designed to run on custom designed hardware
C. Master/ slave system designed to run on commodity hardware
D. Peer to peer system designed to run on commodity hardware

Answer: C

Explanation:
The Hadoop Distributed File System (HDFS) is a master/slave system designed to run on commodity hardware, meaning it can efficiently store large volumes of data across inexpensive, off-the-shelf hardware.

NEW QUESTION # 205
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Pass Guaranteed 2025 Authoritative EMC D-DS-FN-23: Latest Dell Data Science Foundations Exam Simulator

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

D-DS-FN-23 Reliable Exam Testking & D-DS-FN-23 Reliable Test Question

EMC Dell Data Science Foundations Sample Questions (Q200-Q205):

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