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Top D-DS-FN-23 Valid Exam Practice 100% Pass | High-quality D-DS-FN-23 Most Reliable Questions: Dell Data Science Foundations

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

TopicDetails
Topic 1
  • 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, naรฏve Bayesian classifiers, decision trees, time series analysis, and text analytics.
Topic 2
  • 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 3
  • Advanced Analytics for Big Data - Technology and Tools: This section of the exam measures the skills of a Data Science Enthusiast and addresses the technological challenges associated with Big Data. It introduces tools and technologies such as MapReduce, Hadoop, the Hadoop ecosystem, in-database analytics, SQL essentials, and advanced SQL techniques like window functions and MADlib.
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 (Q23-Q28):

NEW QUESTION # 23
What is the difference between the array and list data structures in R?

  • A. Arrays contain only the same data type;
    Lists can contain different data types
  • B. Arrays are N-dimensional;
    Lists are only 2-dimensional
  • C. Arrays are only 2-dimensional;
    Lists are N-dimensional
  • D. Arrays can contain different data types;
    Lists can contain only the same data type

Answer: A


NEW QUESTION # 24
What are three built-in data types in the R programming language?

  • A. List, array, and integer
  • B. Boolean, integer, and character
  • C. Boolean, table, and integer
  • D. Boolean, table, and character

Answer: B

Explanation:
Three built-in data types in R are Boolean, integer, and character. These data types are fundamental to R and represent logical values (TRUE/FALSE), whole numbers, and text data, respectively.


NEW QUESTION # 25
What does a branch represent in a decision tree?

  • A. Outcome of all prior decisions
  • B. Class label for the decision tree
  • C. Outcome of a test on a variable
  • D. Root of the tree

Answer: C

Explanation:
A branch in a decision tree represents the outcome of a test or decision on a variable, leading to further splits or classifications based on the test result.


NEW QUESTION # 26
Refer to the Exhibit.

You are going into a meeting where you anticipate your manager will have a question on your dataset.
Specifically, your manager will want to know about customers that are classified as renters with a good credit status.
In order to prepare for the meeting, you create a rule: RENTER => GOOD CREDIT.
What is the confidence of this rule?

  • A. 18%
  • B. 63%
  • C. 41%
  • D. 73%

Answer: B


NEW QUESTION # 27
You have used k-means clustering to classify behavior of 100, 000 customers for a retail store. You decide to use household income, age, gender and yearly purchase amount as measures.
You have chosen to use 8 clusters and notice that 2 clusters only have 3 customers assigned.
What should you do?

  • A. Decrease the number of measures used
  • B. Decrease the number of clusters
  • C. Increase the number of clusters
  • D. Identify additional measures to add to the analysis

Answer: B


NEW QUESTION # 28
......

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