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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

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

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 (Q210-Q215):

NEW QUESTION # 210
Your risk analysis team has access to new customer financial data. You want to use this data to improve your prediction of credit default. Previously, the team was using only credit bureau scores, loan size, and customer income to assess risk of default.
What is the null hypothesis that should be used to evaluate the model?

A. New model predicts better than the toss of a coin weighted by the average default rate
B. New model predicts as well as the toss of a coin weighted by the average default rate
C. Model using the new financial data predicts the outcome just as well as the previous model
D. Model using the new financial data predicts the outcome better than the previous model

Answer: C

NEW QUESTION # 211
You have run a Linear Regression model on the data shown in the graphic.

Which value is a reasonable guess for R-squared?

A. 1.25
B. .25
C. .8
D. -.8

Answer: C

NEW QUESTION # 212
While having a discussion with your colleague, this person mentions that they want to perform K-means clustering on text file data stored in HDFS.
Which tool would you recommend to this colleague?

A. Mahout
B. Scribe
C. Sqoop
D. HBase

Answer: A

NEW QUESTION # 213
Refer to the Exhibit.

In the Exhibit, the table shows the values for the input Boolean attributes "A", "B", and "C". It also shows the values for the output attribute "class".
Which decision tree is valid for the data?

A. Tree D
B. Tree B
C. Tree A
D. Tree C

Answer: B

NEW QUESTION # 214
Refer to the exhibit.

You have scored your Naive bayesian classifier model on a hold out test data for cross validation and determined the way the samples scored and tabulated them as shown in the exhibit.
What are the the False Positive Rate (FPR) and the False Negative Rate (FNR) of the model?

A. FPR = 262/15 FNR = 288/26
B. FPR = 15/262 FNR = 26/288
C. FPR = 26/288 FNR = 15/262
D. FPR = 288/26 FNR = 262/15

Answer: B

NEW QUESTION # 215
......

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