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[General] Pass Guaranteed Quiz 2026 EMC D-DS-FN-23: Accurate Test Dell Data Science Founda

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【General】 Pass Guaranteed Quiz 2026 EMC D-DS-FN-23: Accurate Test Dell Data Science Founda

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EMC D-DS-FN-23 Exam Syllabus Topics:
TopicDetails
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
  • 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
  • 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.

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EMC Dell Data Science Foundations Sample Questions (Q29-Q34):NEW QUESTION # 29
Which type of numeric value does a logistic regression model estimate?
  • A. Any real number
  • B. A p-value
  • C. Probability
  • D. Any integer
Answer: C

NEW QUESTION # 30
There are three criterions for big data analytics projects which include:
- Decision speed
- Analysis flexibility
What is the additional criteria?
  • A. Structure
  • B. Throughput
  • C. Quality
  • D. Security
Answer: B

NEW QUESTION # 31
You have been assigned to perform a study of the daily revenue effect of a pricing model of online transactions. All the data currently available has been loaded into an analytics database.
This data includes revenue data, pricing data, and online transaction data. You have completed a thorough univariate analysis of all data and have decided that there are three different models you want to test.
Preliminary results show that all models have equally effective results.
What is the next step?
  • A. Develop all three models and perform model selection in the next step of the process
  • B. Select the model that demonstrates the most sophisticated technique and accuracy
  • C. Identify which model the business owner wants and proceed with that model
  • D. Prioritize models by complexity and feasibility, and proceed with the most feasible
Answer: D

NEW QUESTION # 32
Which word or phrase completes the statement? A data warehouse is to a centralized database for reporting as an analytic sandbox is to a _______?
  • A. Centralized database of KPIs
  • B. Collection of data assets for ETL
  • C. Collection of data assets for modeling
  • D. Collection of low-volume databases
Answer: C

NEW QUESTION # 33
Data has been collected on visitors' viewing habits at a bank's website.
Which technique is used to identify pages commonly viewed during the same visit to the website?
  • A. Clustering
  • B. Association Rules
  • C. Classification
  • D. Regression
Answer: B

NEW QUESTION # 34
......
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