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D-DS-FN-23 Sample Questions Answers & D-DS-FN-23 Latest Exam Question
Dell Data Science Foundations exam is one of the top-rated EMC D-DS-FN-23 Exams. This Dell Data Science Foundations exam offers an industrial-recognized way to validate a candidate's skills and knowledge. Everyone can participate in Dell Data Science Foundations exam requirements after completing the Dell Data Science Foundations exam. With the Dell Data Science Foundations exam you can learn in-demand skills and upgrade your knowledge. You can enhance your salary package and you can get a promotion in your company instantly.
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
- 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 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
- 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 5
- 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.
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EMC Dell Data Science Foundations Sample Questions (Q33-Q38):
NEW QUESTION # 33
Based on the graphic, what should be done to begin addressing chart junk?
- A. Remove the legend
- B. Remove the vertical gridlines
- C. Reduce the font size in the axis
Answer: B
NEW QUESTION # 34
Refer to the exhibit.
What is the approximate R-squared value for a linear regression model fitted to the data associated with this scatterplot?
- A. 0
- B. 0.01
- C. 1
- D. 0.96
Answer: B
NEW QUESTION # 35
In association rules, given X -> Y, what is confidence?
- A. How many times more often X and Y occur together than expected if they were statistically independent, expressed as a ratio
- B. Difference in the probability of X and Y appearing together compared with expectations if they were statistically independent
- C. Percentage of transactions with X that also contain Y
- D. Percentage of transactions that contain the itemset
Answer: C
NEW QUESTION # 36
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 C
- B. Document A
- C. Document B
- D. Document D
Answer: D
NEW QUESTION # 37
MapReduce is designed to process data in which way?
- A. A few large files split into blocks processed serially on one machine
- B. A few large files split into blocks processed in parallel across multiple machines
- C. Many small files processed serially on one machine
- D. Many small files processed in parallel across multiple machines
Answer: B
Explanation:
MapReduce is designed to process a few large files that are split into blocks and then processed in parallel across multiple machines. This approach allows for efficient distributed processing of large datasets.
NEW QUESTION # 38
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You will need to pass the Dell Data Science Foundations (D-DS-FN-23) exam to achieve the Dell Data Science Foundations (D-DS-FN-23) certification. Due to extremely high competition, passing the EMC D-DS-FN-23 exam is not easy; however, possible. You can use Dumpleader products to pass the D-DS-FN-23 Exam on the first attempt. The Dell Data Science Foundations (D-DS-FN-23) practice exam gives you confidence and helps you understand the criteria of the testing authority and pass the EMC D-DS-FN-23 exam on the first attempt.
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