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[General] D-DS-FN-23 Training Questions | D-DS-FN-23 Exam Testking

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【General】 D-DS-FN-23 Training Questions | D-DS-FN-23 Exam Testking

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EMC D-DS-FN-23 Exam Syllabus Topics:
TopicDetails
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
  • 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.
Topic 3
  • 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.

EMC Dell Data Science Foundations Sample Questions (Q87-Q92):NEW QUESTION # 87
What characterizes the Hadoop Distributed File System?
  • A. Master/ slave system designed to run on custom designed hardware
  • B. Master/ slave system designed to run on commodity hardware
  • C. Peer to peer system designed to run on commodity hardware
  • D. Peer to peer system designed to run on custom designed hardware
Answer: B
Explanation:
The Hadoop Distributed File System (HDFS) is a master/slave system designed to run on commodity hardware, meaning it can efficiently store large volumes of data across inexpensive, off-the-shelf hardware.

NEW QUESTION # 88
Which word or phrase completes the statement? Data-ink ratio is to data visualization as _________.
  • A. K-means is to Naive Bayes
  • B. Data scientist is to big data
  • C. Confusion matrix is to classifier
  • D. Seasonality is to ARIMA
Answer: C

NEW QUESTION # 89
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. Data is extremely skewed but looks bimodal. Replot the data in the range 2,500 - 10,000 to be certain.
  • B. Data is extremely skewed. Split the analysis into two cohorts; accounts less than 2,500 and accounts greater than 2,500.
  • C. Accounts of sizes greater than 2,500 are rare and are most likely outliers. Eliminate them from future analysis.
  • D. Data is extremely skewed. Replot the data on a logarithmic scale to get a better understanding of it.
Answer: D

NEW QUESTION # 90
Refer to the exhibit.

You are asked to write a report on how specific variables impact your client's sales using a data set provided to you by the client. The data includes 15 variables that the client views as directly related to sales, and you are restricted to these variables only.
After a preliminary analysis of the data, the following findings were made:
1. Multicollinearity is not an issue among the variables
2. Only three variables-A, B, and C-have significant correlation with sales You build a linear regression model on the dependent variable of sales with the independent variables of A, B, and C.
The results of the regression are seen in the exhibit.
Which interpretation is supported by the analysis?
  • A. Due to the R2 of 0.10, the model is not valid - the linear regression should be rerun with all 15 variables forced into the model to increase the R2
  • B. Due to the R2 of 0.10, the model is not valid - a different analytical model should be attempted
  • C. Variables A, B, and C are significantly impacting sales, but are not effectively estimating sales
  • D. Variables A, B, and C are significantly impacting sales and are effectively estimating sales
Answer: C

NEW QUESTION # 91
Based on the exhibit, what is a likely issue with the data?

  • A. No obvious concerns with the data is visible
  • B. Mis-scaled data; indicating potential issues with data entry
  • C. Saturated data; indicating potential issues with data definitions
  • D. Incomplete data; indicating potential issues with data transmission
Answer: C

NEW QUESTION # 92
......
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