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

Topic
Details

Topic 1

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 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

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 4

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.

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EMC Dell Data Science Foundations Sample Questions (Q128-Q133):

NEW QUESTION # 128
What is the output format from the Map function of MapReduce?

A. Key-value pairs
B. Unique key record and separate records of all possible values
C. Binary representation of keys concatenated with structured data
D. Compressed index

Answer: A

NEW QUESTION # 129
Which activity is performed in the Operationalize phase of the Data Analytics Lifecycle?

A. Try different analytical techniques
B. Define the process to maintain the model
C. Transform existing variables
D. Try different variables

Answer: B

NEW QUESTION # 130
What is holdout data?

A. a subset of the provided data set selected at random and used to initially construct the model
B. a subset of the provided data set selected at random and used to validate the model
C. a subset of the provided data set that is removed by the data scientist because it contains data errors
D. a subset of the provided data set that is removed by the data scientist because it contains outliers

Answer: B

NEW QUESTION # 131
Your colleague, who is new to Hadoop, approaches you with a question. They want to know how best to access their data. This colleague has a strong background in data flow languages and programming.
Which query interface would you recommend?

A. HBase
B. Hive
C. Pig
D. Howl

Answer: C

NEW QUESTION # 132
Refer to the exhibit.

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

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

Answer: C

NEW QUESTION # 133
......

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