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

Topic	Details
Topic 1	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 2	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 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	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 (Q10-Q15):

NEW QUESTION # 10
You submit a MapReduce job to a Hadoop cluster and notice that although the job was successfully submitted, it is not completing.
What should you do?

A. Ensure that the TaskTracker is running.
B. Ensure that the NameNode is running
C. Ensure that the JobTracker is running
D. Ensure that a DataNode is running

Answer: A

NEW QUESTION # 11
When is a Naïve Bayesian Classifier model for classification preferred versus a Logistic Regression model?

A. When an estimate of the probability of an outcome is needed, not just which class it is in
B. When some of the input variables might be correlated
C. When all input variables are numerical
D. When using several categorical input variables with over 1000 possible values each

Answer: D

NEW QUESTION # 12
In which phase of the data analytics lifecycle do Data Scientists spend the most time in a project?

A. Discovery
B. Model Building
C. Data Preparation
D. Communicate Results

Answer: C

NEW QUESTION # 13
What are the characteristics of Big Data?

A. Data volume, business importance, and data structure variety.
B. Data volume, processing complexity, and business importance.
C. Data type, processing complexity, and data structure variety.
D. Data volume, processing complexity, and data structure variety.

Answer: D

NEW QUESTION # 14
Refer to the exhibit.

Which type of data issue would you suspect based on the exhibit?

A. The exhibit does not raise any obvious concerns with the data.
B. "Saturated" data, indicating potential issues with data definitions
C. Incomplete data, indicating potential issues with data transmission
D. Mis-scaled data, indicating potential issues with data entry

Answer: B

NEW QUESTION # 15
......

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D-DS-FN-23 Reliable Test Notes & D-DS-FN-23 Valid Test Labs

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

D-DS-FN-23 Valid Test Labs, Exam D-DS-FN-23 Exercise

EMC Dell Data Science Foundations Sample Questions (Q10-Q15):

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