RELIABLE D-DS-FN-23 TEST OBJECTIVES, VALID EXAM D-DS-FN-23 BRAINDUMPS

Reliable D-DS-FN-23 Test Objectives, Valid Exam D-DS-FN-23 Braindumps

Reliable D-DS-FN-23 Test Objectives, Valid Exam D-DS-FN-23 Braindumps

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EMC Dell Data Scientist and Big Data Analytics Foundations 2023 Sample Questions (Q36-Q41):

NEW QUESTION # 36
Refer to the exhibit

Consider the training data set shown in the exhibit.
What are the classification (Y = 0 or 1) and the probability of the classification for the tupleX(0, 0, 1) using Naive Bayesian classifier?

  • A. Classification Y = 1, Probability = 1/54
  • B. Classification Y = 0, Probability = 1/54
  • C. Classification Y = 1, Probability = 4/54
  • D. Classification Y = 0, Probability = 4/54

Answer: C


NEW QUESTION # 37
The average purchase size from your online sales site is $17, 200. The customer experience team believes a certain adjustment of the website will increase sales.
A pilot study on a few hundred customers showed an increase in average purchase size of $1.47, with a significance level of p=0.1. The team runs a larger study, of a few thousand customers.
The second study shows an increased average purchase size of $0.74, with a significance level of 0.03.
What is your assessment of this study?

  • A. The change in purchase size is small, but may aggregate up to a large increase in profits over the entire customer base.
  • B. The p-value of the second study shows a statistically significant change in purchase size. The new website is an improvement.
  • C. The difference in the change in purchase size between the two studies is troubling; The team should run another, larger study.
  • D. The change in purchase size is not practically important, and the good p-value of the second study is probably a result of the large study size.

Answer: D


NEW QUESTION # 38
What type of data is represented in the exhibit?

  • A. Semi-structured
  • B. Quasi-structured
  • C. Structured
  • D. Unstructured

Answer: C


NEW QUESTION # 39
Assume you are performing an analysis to determine fraud detection on credit card usage. You will need to ensure higher-risk transactions. These may indicate that fraudulent credit card activity is retained in your data for analysis and not dropped as outliers during pre- processing.
What is the approach for loading data into the analytical sandbox for this analysis?

  • A. EDW
  • B. ETL
  • C. OLTP
  • D. ELT

Answer: D


NEW QUESTION # 40
What are the two data categories that represent qualitative data?

  • A. Ratio and interval
  • B. Ordinal and interval
  • C. Nominal and ordinal
  • D. Nominal and ratio

Answer: C

Explanation:
Qualitative data represents non-numeric categories. Nominal data consists of named categories without any order, while ordinal data includes categories with a meaningful order but without consistent intervals between them.


NEW QUESTION # 41
......

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