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D-DS-FN-23 100% Exam Coverage | D-DS-FN-23 Exams Dumps

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

Topic	Details
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	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	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 4	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.

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EMC Dell Data Science Foundations Sample Questions (Q349-Q354):

NEW QUESTION # 349
Imagine you are trying to hire a Data Scientist for your team. In addition to technical ability and quantitative background, which additional essential trait would you look for in people applying for this position?

A. Scientific background
B. Communication skill
C. Well Organized
D. Domain expertise

Answer: B

NEW QUESTION # 350
A data scientist is given an R data frame, "empdata", with the columns Age, Salary, Occupation, Education, and Gender. The data scientist would like to examine only the Salary and Occupation columns for ages greater than 40.
Which command extracts the appropriate rows and columns from the data frame?

A. empdata[, c("Salary", "Occupation")]$Age > 40
B. empdata[empdata$Age > 40, c("Salary", "Occupation")]
C. empdata[Age > 40, ("Salary", "Occupation")]
D. empdata[c("Salary", "Occupation"), empdata$Age > 40]

Answer: B

NEW QUESTION # 351
Which characteristic applies mainly to Data Science as opposed to Business Intelligence?

A. Advanced analytical methods
B. Focus on structured data
C. Robust reporting
D. Data dashboards

Answer: A

NEW QUESTION # 352
Your company has 3 different sales teams. Each team's sales manager has developed incentive offers to increase the size of each sales transaction.
Any sales manager whose incentive program can be shown to increase the size of the average sales transaction will receive a bonus. Data are available for the number and average sale amount for transactions offering one of the incentives as well as transactions offering no incentive.
The VP of Sales has asked you to determine analytically if any of the incentive programs has resulted in a demonstrable increase in the average sale amount.
Which analytical technique would be appropriate in this situation?

A. Multi-way ANOVA
B. Student's t-test
C. Wilcox son Rank Sum Test
D. One-way ANOVA

Answer: D

NEW QUESTION # 353
What is a consideration when building decision trees?

A. Correlated variables can cause double-counting
B. Cannot handle variables that affect the outcome in a discontinuous way
C. Short decision trees are likely subject to overfit
D. Tree structure is sensitive to small changes in the training data

Answer: D

NEW QUESTION # 354
......

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D-DS-FN-23 100% Exam Coverage | D-DS-FN-23 Exams Dumps

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

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EMC Dell Data Science Foundations Sample Questions (Q349-Q354):

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