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Useful D-DS-FN-23 Trustworthy Exam Torrent by PDF4Test

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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

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.

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.

EMC Dell Data Science Foundations Sample Questions (Q44-Q49):

NEW QUESTION # 44
Which word or phrase completes the statement? Structured data is to OLAP data as quasi- structured data is to

A. XML data
B. Clickstream data
C. Text documents
D. Image files

Answer: B

NEW QUESTION # 45
Which word or phrase completes the statement? A spreadsheet is to a data island as a centralized database for reporting is to a __________?

A. Data Warehouse
B. Data Repository
C. Analytic Sandbox
D. Data Mart

Answer: A

NEW QUESTION # 46
What is the format of the output from the Map function of MapReduce?

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

Answer: C

NEW QUESTION # 47
How does an HBase data structure differ from an ANSI standard relational database management system (RDBMS)?

A. HBase has strongly defined data columns;
ANSI standard RDBMS is more flexible with column definitions
B. HBase supports a single table with no implicit join ability to other tables; ANSI standard RDBMS supports multiple tables with join ability
C. HBase provides a wider variety of predefined data types for data;
ANSI standard RDBMS provides less variety
D. HBase is challenged by sparse data;
ANSI standard RDBMS handles missing values well by using null fields

Answer: B

NEW QUESTION # 48
Which word or phrase completes the statement? Data-ink ratio is to data visualization as _________.

A. Confusion matrix is to classifier
B. K-means is to Naive Bayes
C. Seasonality is to ARIMA
D. Data scientist is to big data

Answer: A

NEW QUESTION # 49
......

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