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[Hardware] Best EMC D-DS-FN-23 Guide Torrent Professionally Researched by EMC Certified Tra

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【Hardware】 Best EMC D-DS-FN-23 Guide Torrent Professionally Researched by EMC Certified Tra

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TestKingFree has created reliable and up-to-date D-DS-FN-23 Questions that help to pass the exam on the first attempt. The product is easy to use and very simple to understand ensuring it is student-oriented. The Dell Data Science Foundations dumps consist of three easy formats; The 3 formats are Desktop-based practice test software, Web-based practice exam, and PDF.
EMC D-DS-FN-23 Exam Syllabus Topics:
TopicDetails
Topic 1
  • 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.
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
  • 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 4
  • 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 (Q262-Q267):NEW QUESTION # 262
What describes the data repository represented by the 'A' in MAD?
  • A. Centrally managed and based on long-range, careful design, planning and governance
  • B. Allows analysts to easily ingest, digest, produce, and adapt data at a rapid pace
  • C. Attracts all data sources that occur within an organization, regardless of data quality
  • D. Enables analysts to study very large datasets without being limited to samples and extracts
Answer: B

NEW QUESTION # 263
A decision tree is being built. An internal node is being evaluated for partitioning on variables A and B.
The entropy of the internal node is 0.8. The entropy for each of the variables is as follows:
# Variable A: 0.5
# Variable B: 0.4
Which variable will be used to partition the data and what is the information gain?
  • A. Variable B; information gain is 0.1
  • B. Variable B; information gain is 0.4
  • C. Variable A; information gain is 0.5
  • D. Variable A; information gain is 0.1
Answer: B
Explanation:
Information gain is calculated as the difference between the entropy of the node and the entropy after the split.
For Variable B, the information gain is 0.8 # 0.4 = 0.4, which is higher than the gain from Variable A (0.3).
The Variable B is selected for partitioning.

NEW QUESTION # 264
After which phase of the data analytics lifecycle should you determine if the model needs any recalibration?
  • A. Data preparation
  • B. Model planning
  • C. Discovery
  • D. Operationalize
Answer: D
Explanation:
Recalibration of the model should be assessed during the Operationalize phase, as this is when the model is deployed and monitored in real-world conditions, making it easier to identify if it requires adjustments based on its performance.

NEW QUESTION # 265
In time series analysis, what function is examined to identify the order of the moving average component of an ARIMA model?
  • A. Arithmetic mean function
  • B. Exponential function
  • C. Autocorrelation function
  • D. Geometric mean function
Answer: C

NEW QUESTION # 266
Which data asset is an example of quasi-structured data?
  • A. Database table
  • B. Webserver log
  • C. XML data file
  • D. News article
Answer: B

NEW QUESTION # 267
......
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