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Latest Real D-DS-FN-23 Exam & Exam D-DS-FN-23 Cost

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

Topic
Details

Topic 1

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 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

Big Data, Analytics, and the Data Scientist Role: This section of the exam measures the skills of a Data Science Enthusiast and covers the basic concepts of Big Data, including its defining characteristics and the business drivers behind its rise. It also introduces the role of the Data Scientist, highlighting the critical skills needed in the data science field.

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EMC Dell Data Science Foundations Sample Questions (Q345-Q350):

NEW QUESTION # 345
What is a motivation for using a data analytics lifecycle?

A. Guarantees a successful project
B. Limits the amount of data needed
C. Creates a repeatable process
D. Explores all possible approaches

Answer: C

NEW QUESTION # 346
In naïve Bayes implementations, how is the possibility of zero probabilities resulting from unobserved attribute/classifier pairs properly handled?

A. Add a small quantity to each of the observed counts
B. Double the observed counts
C. Square the observed counts
D. Add a large quantity to each of the observed counts

Answer: A

NEW QUESTION # 347
You have been assigned to run a logistic regression model for each of 100 countries, and all the data is currently stored in a PostgreSQL database.
Which tool/library would you use to produce these models with the least effort?

A. RStudio
B. HBase
C. Mahout
D. MADlib

Answer: D

NEW QUESTION # 348
What is the reason for using LOESS?

A. Runs after a one-way ANOVA; determining which population has the highest mean value
B. Plots a continuous variable versus a discrete variable; comparing distributions across classes
C. Fits a smoothed curve to scatterplot data; providing a general idea of the data's behavior
D. Significance test for the correlation between two variables

Answer: C

NEW QUESTION # 349
Refer to the exhibit.

To predict whether or not a customer will renew their annual property insurance policy, an insurance company built and operationalized a naïve Bayes classification model.
Inthemodel, therearetwo classlabels, renewaland non-renewal, thatare assignedtoeachcustomerbased on their attributes. Asubset of the key attributes, their values, and corresponding conditional probabilities are provided in the exhibit.
A customer has the following attributes:
- Age is greater than 65 years
- Owns their own home
- Renewal month is August
If 20% of customers do not renew their policies every year, what is the score for a non-renewal in the naïve Bayesian model for the customer described above?

A. 0.0004
B. 0.0020
C. 0.0040
D. 0.0002

Answer: A

NEW QUESTION # 350
......

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