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Exam EMC D-DS-FN-23 Discount | D-DS-FN-23 VCE Dumps
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P.S. Free 2026 EMC D-DS-FN-23 dumps are available on Google Drive shared by PassLeader: https://drive.google.com/open?id=1g_K0GOFQqcUXkziRc8LaXbOcjw4dR2D-
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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 | - 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 3 | - 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 4 | - 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 5 | - 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.
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EMC Dell Data Science Foundations Sample Questions (Q190-Q195):NEW QUESTION # 190
Which analytic technique would be appropriate to estimate blood pressure based on age and weight?
- A. K-means clustering
- B. Linear regression
- C. Time series analysis
- D. Naïve Bayesian classification
Answer: B
NEW QUESTION # 191
Which word or phrase completes the statement? Business Intelligence is to monitoring trends as Data Science is to ________ trends.
- A. Predicting
- B. Discarding
- C. Driving
- D. Optimizing
Answer: A
NEW QUESTION # 192
You are having a discussion with a business colleague. The colleague mentions that they want to perform K-means clustering on text file data stored in HDFS.
Which tool should be recommended?
- A. Scribe
- B. HBase
- C. Sqoop
- D. Mahout
Answer: D
NEW QUESTION # 193
You have created a scatterplot of two continuous variables for 2000 records. You want to add a line to the scatterplot to check linearity of the data.
Which function would best address this need?
- A. hist()
- B. glm()
- C. abline()
- D. lm()
Answer: C
NEW QUESTION # 194
Consider the following itemsets:
(hat, scarf, coat)
(hat, scarf, coat, gloves)
(hat, scarf, gloves)
(hat, gloves)
(scarf, coat, gloves)
If the minimum support is 50%, what represents the complete list of frequent 2-itemsets?
- A. (scarf, gloves), (scarf, coat) (hat, gloves)
- B. (hat, scarf), (scarf, coat), (coat, gloves)
- C. (hat, scarf), (hat, gloves)
- D. (hat, scarf), (hat, gloves), (scarf, gloves), (scarf, coat)
Answer: D
NEW QUESTION # 195
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