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D-DS-FN-23 Valid Study Questions | Exam Dumps D-DS-FN-23 Provider
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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
- 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
- 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 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
- 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.
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EMC Dell Data Science Foundations Sample Questions (Q268-Q273):
NEW QUESTION # 268
Which word or phrase completes the statement? Business Intelligence is to monitoring trends as Data Science is to ________ trends.
- A. Driving
- B. Predicting
- C. Discarding
- D. Optimizing
Answer: B
NEW QUESTION # 269
Which chart type is the most effective way to show trends over time?
- A. Histogram
- B. Line Chart
- C. Stacked Bar Chart
- D. Bar Chart
Answer: B
NEW QUESTION # 270
What is a good use case for logistic regression?
- A. Predicting the income of a customer
- B. Forecasting quarterly sales of a company
- C. Predicting home sales prices in a city
- D. Predicting the outcome of an election
Answer: D
NEW QUESTION # 271
What are the two data categories that represent qualitative data?
- A. Nominal and ordinal
- B. Ordinal and interval
- C. Ratio and interval
- D. Nominal and ratio
Answer: A
Explanation:
Qualitative data represents non-numeric categories. Nominal data consists of named categories without any order, while ordinal data includes categories with a meaningful order but without consistent intervals between them.
NEW QUESTION # 272
You have plotted the distribution of savings account sizes for a bank.
Based on the distribution shown in the exhibit, how would you proceed?
- A. Data is extremely skewed. Replot the data on a logarithmic scale to get a better understanding of it.
- B. Data is extremely skewed. Split the analysis into two cohorts; accounts less than 2,500 and accounts greater than 2,500.
- C. Data is extremely skewed but looks bimodal. Replot the data in the range 2,500 - 10,000 to be certain.
- D. Accounts of sizes greater than 2,500 are rare and are most likely outliers. Eliminate them from future analysis.
Answer: A
NEW QUESTION # 273
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