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D-DS-FN-23 Real Testing Environment & D-DS-FN-23 Official Practice Test

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

Topic
Details

Topic 1

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 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.

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EMC Dell Data Science Foundations Sample Questions (Q336-Q341):

NEW QUESTION # 336
Refer to the exhibit.

In association rules, for itemsets X and Y, which expression defines leverage?

A. b
B. d
C. c
D. a

Answer: D

NEW QUESTION # 337
You have plotted the distribution of savings account sizes for a bank.

Based on the distribution shown in the exhibit, how would you proceed?

A. Accounts of sizes greater than 2,500 are rare and are most likely outliers. Eliminate them from future analysis.
B. Data is extremely skewed. Replot the data on a logarithmic scale to get a better understanding of it.
C. Data is extremely skewed. Split the analysis into two cohorts; accounts less than 2,500 and accounts greater than 2,500.
D. Data is extremely skewed but looks bimodal. Replot the data in the range 2,500 - 10,000 to be certain.

Answer: B

NEW QUESTION # 338
Which word or phrase completes the statement; "Adata scientist would consider a RDBMS is to a table as R is to a_____."?

A. Array
B. List
C. Matrix
D. Data frame

Answer: D

NEW QUESTION # 339
Consider this SQL statement: SELECT product, avg(prod_cost) FROM product_detail GROUP BY product.
The GROUP BY clause implies what type of function?

A. User defined function
B. Aggregate function
C. Window function
D. System function

Answer: B

Explanation:
The GROUP BY clause in the SQL statement implies the use of an aggregate function. In this case, avg (prod_cost) is an aggregate function that calculates the average of the product costs for each group of products.

NEW QUESTION # 340
Before you build an ARMA model, how can you tell if your time series is weakly stationary?

A. There appears to be no apparent trend component.
B. The series is normally distributed.
C. There appears to be a constant variance around a constant mean.
D. The mean of the series is close to 0.

Answer: C

NEW QUESTION # 341
......

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