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[General] Avail the Best Accurate Exam D-DS-FN-23 Labs to Pass D-DS-FN-23 on the First Att

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【General】 Avail the Best Accurate Exam D-DS-FN-23 Labs to Pass D-DS-FN-23 on the First Att

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EMC D-DS-FN-23 Exam Syllabus Topics:
TopicDetails
Topic 1
  • 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 2
  • Operationalizing an Analytics Project and Data Visualization Techniques: This section of the exam measures the skills of an Entry-Level Data Analyst and explains best practices for communicating findings and operationalizing analytics projects. It covers effective methods for presenting projects to various audiences and emphasizes the importance of planning and creating impactful data visualizations.
Topic 3
  • 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.
Topic 4
  • 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.

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EMC Dell Data Science Foundations Sample Questions (Q108-Q113):NEW QUESTION # 108
Data has been collected on visitors' viewing habits at a bank's website.
Which technique is used to identify pages commonly viewed during the same visit to the website?
  • A. Clustering
  • B. Association Rules
  • C. Regression
  • D. Classification
Answer: B

NEW QUESTION # 109
You have created a Linear Regression model to predict total sales based on variables M, N, P and Q as shown in the graphic. You originally expected all variables to have positive coefficients.

Which action would you take?
  • A. Accept only positive variables and investigate potential correlation with the dependent variable
  • B. Accept only statistically significant variables and investigate correlated independent variables
  • C. Accept all variables and begin model validation steps against holdout data
  • D. Accept none of the variables and investigate correlations between all variables
Answer: D

NEW QUESTION # 110
A fair six-sided die is rolled. Let A denote the event that an odd number is rolled. Let C denote the event that a 1, 2, or 3 is rolled.
What is the value of the conditional probability, P(C|A)?
  • A. 1/2
  • B. 1/3
  • C. 1/4
  • D. 2/3
Answer: D

NEW QUESTION # 111
You do a Student's t-test to compare the average test scores of sample groups from populations A and B.
Group Aaveraged 10 points higher than group B.
You find that this difference is significant, with a p-value of 0.03.
What does that mean?
  • A. The difference in scores between a sample from population A and a sample from population B will tend to be within 3% of 10 points.
  • B. There is a 3% chance that you have identified a difference between the populations when in reality there is none.
  • C. There is a 97% chance that a sample group from population A will score 10 points higher that a sample group from population B.
  • D. There is a 3% chance that a sample group from population A will score 10 points higher that a sample group from population B.
Answer: B

NEW QUESTION # 112
Which data asset is an example of unstructured data?
  • A. Database table
  • B. Webserver log
  • C. News article text
  • D. XML data file
Answer: C

NEW QUESTION # 113
......
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