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D-DS-FN-23 Pass4sure Questions & D-DS-FN-23 Actual Test & D-DS-FN-23 Practice Training

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

Topic
Details

Topic 1

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 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

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 (Q290-Q295):

NEW QUESTION # 290
Which analytic technique would be appropriate to estimate blood pressure based on age and weight?

A. Linear regression
B. K-means clustering
C. Time series analysis
D. Naïve Bayesian classification

Answer: A

NEW QUESTION # 291
In the data preparation phase of the data analytics lifecycle, what does the term "data conditioning" refer to?

A. Identifying relationships and correlations among variables
B. Building training and testing datasets
C. Deploying the model and monitoring its performance
D. Cleaning the data, normalizing datasets. and performing transformations

Answer: D

Explanation:
Data conditioning in the data preparation phase refers to the process of cleaning the data, normalizing datasets, and performing transformations to ensure the data is in a suitable format for analysis or modeling.

NEW QUESTION # 292
In the Map Reduce framework, what is the purpose of the Map Function?

A. It processes the input and generates key-value pairs
B. It sorts the results of the Reduce function
C. It collects the output of the Reduce function
D. It breaks the input into smaller components and distributes to other nodes in the cluster

Answer: A

NEW QUESTION # 293
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 JobTracker is running
C. Ensure that a DataNode is running
D. Ensure that the NameNode is running

Answer: A

NEW QUESTION # 294
The graph represents the plot of WSS as a function of K for a K-means clustering analysis you performed.

Which point in the graph represents the most optimal value of K?

A. A
B. B
C. D
D. C

Answer: D

NEW QUESTION # 295
......

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