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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.
Topic 4	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.

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EMC Dell Data Science Foundations Sample Questions (Q352-Q357):

NEW QUESTION # 352
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 B
B. Tree C
C. Tree D
D. Tree A

Answer: A

NEW QUESTION # 353
Before building an ARMA model, how can you determine if the time series is weakly stationary?

A. Constant variance around a constant mean is apparent
B. No trend component is apparent
C. Series is normally distributed
D. Mean of the series is close to 0

Answer: A

NEW QUESTION # 354
What does "MAD" in MADlib stand for?

A. Magnetic Association Design
B. Multiple Access Design
C. Magnetic Agile Deep
D. Multiple Agile Development

Answer: B

Explanation:
MAD in MADlib stands for Multiple Access Design, which is a library for scalable in-database analytics, including machine learning and statistical methods.

NEW QUESTION # 355
Refer to the exhibit.

You are using K-means clustering to classify customer behavior for a large retailer. You need to determine the optimum number of customer groups. You plot the within-sum-of- squares (wss) data as shown in the exhibit.
How many customer groups should you specify?

A. 0
B. 1
C. 2
D. 3

Answer: C

NEW QUESTION # 356
Refer to the exhibit.

What is the approximate R-squared value for a linear regression model fitted to the data associated with this scatterplot?

A. 0.01
B. 0
C. 0.96
D. 1

Answer: A

NEW QUESTION # 357
......

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