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2026 High-quality 100% Free D-DS-FN-23–100% Free Complete Exam Dumps | New Dell
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EMC D-DS-FN-23 Exam Syllabus Topics:| Topic | Details | | Topic 1 | - 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 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.
| | Topic 5 | - 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 (Q351-Q356):NEW QUESTION # 351
Refer to the exhibit.

You are using k-means clustering to discover groupings within a data set. You plot within- sum-of-squares (wss) of multiple cluster sizes.
Based on the exhibit, how many clusters should you use in your analysis?
Answer: A
NEW QUESTION # 352
Which component of a final presentation provides a succinct overview of the business situation that was the impetus to initiate the project?
- A. Approach
- B. Project goals
- C. Recommendations
- D. Model description
Answer: B
Explanation:
The project goals component of a final presentation provides a succinct overview of the business situation that led to the initiation of the project. It sets the context for why the project was undertaken and what it aimed to achieve.
NEW QUESTION # 353
Assume you are performing an analysis to determine fraud detection on credit card usage. You will need to ensure higher-risk transactions. These may indicate that fraudulent credit card activity is retained in your data for analysis and not dropped as outliers during pre- processing.
What is the approach for loading data into the analytical sandbox for this analysis?
- A. OLTP
- B. ELT
- C. EDW
- D. ETL
Answer: B
NEW QUESTION # 354
What are two data categories that represent quantitative data?
- A. Nominal and ordinal
- B. Nominal and ratio
- C. Ratio and interval
- D. Ordinal and interval
Answer: C
NEW QUESTION # 355
An analyst is searching a corpus of documents for the topic "solid state disk". As shown in the graphic, Table A provides the inverse document frequency for each term across the corpus.
Table B provides each term's frequency in four documents selected from the corpus.

Based on the four documents, which document is most relevant to the analyst's search?
- A. Document A
- B. Document C
- C. Document B
- D. Document D
Answer: D
NEW QUESTION # 356
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