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How to Prepare for Dell EMC Data Science Associate DEA-7TT2 Certification? DEA-7TT2 Certification Made Easy with AnalyticsExam.com.
Dell EMC DEA-7TT2 Exam Summary: Dell EMC Data Science and Big Data Analytics Exam Name DEA-7TT2 Exam Code 60 No. of Questions 60% Passing Score 90 minutes Time Limit $230 (USD) Exam Fees Dell EMC Data Science Associate Certification Practice Exam Online Practice Test Dell EMC Data Science Associate Certification Sample Question Sample Questions Rise & Shine with AnalyticsExam.com
Dell EMC Data Science Associate Syllabus Content: Syllabus Topics: Big Data, Analytics, and the Data Scientist Role (5%) Data Analytics Lifecycle (8%) Initial Analysisof the Data (15%) Advanced Analytics -Theory, Application, and Interpretation of Results for Eight Methods (40%) Advanced Analytics for Big Data -Technology and Tools (22%) Operationalizing an Analytics Project and Data Visualization Techniques (10%) Rise & Shine with AnalyticsExam.com
Dell EMC Data Science Associate Training: Recommended Training: Data Science and Big Data Analytics v2 - On-Demand Video Rise & Shine with AnalyticsExam.com
Tips to Prepare for DEA-7TT2 ● Understand the all Syllabus Topics. ● Perform Dell EMC Data Science Associate online test at AnalyticsExam.com. ● Identify your weak areas from Dell EMC Data Science Associate mock test and asses yourself frequently. Rise & Shine with AnalyticsExam.com
Dell EMC DEA-7TT2 Sample Questions Rise & Shine with AnalyticsExam.com
Que.: 01. In the Map Reduce framework, what is the purpose of the Reduce function? Options: a) It aggregates the results of the Map function and generates processed output b) It distributes the input to multiple nodes for processing c) It writes the output of the Map function to storage d) It breaks the input into smaller components and distributes to other nodes in the cluster Rise & Shine with AnalyticsExam.com
Answer: a) It aggregates the results of the Map function and generates processed output Rise & Shine with AnalyticsExam.com
Que.: 02. What is an example of a null hypothesis? Options: a) that a newly created model provides a prediction of a null sample mean b) that a newly created model provides a prediction of a null population mean c) that a newly created model does not provide better predictions than the currently existing model d) that a newly created model provides a prediction that will be well fit to the null distribution Rise & Shine with AnalyticsExam.com
Answer: c) that a newly created model does not provide better predictions than the currently existing model Rise & Shine with AnalyticsExam.com
Que.: 03. How are window functions different from regular aggregate functions? Options: a) Rows retain their separate identities and the window function can access more than the current row. b) Rows are grouped into an output row and the window function can access more than the current row. c) Rows retain their separate identities and the window function can only access the current row. d) Rows are grouped into an output row and the window function can only access the current row. Rise & Shine with AnalyticsExam.com
Answer: a) Rows retain their separate identities and the window function can access more than the current row. Rise & Shine with AnalyticsExam.com
Que.: 04. Before you build an ARMA model, how can you tell if your time series is weakly stationary? Options: a) The mean of the series is close to 0. b) There appears to be a constant variance around a constant mean. c) The series is normally distributed. d) There appears to be no apparent trend component. Rise & Shine with AnalyticsExam.com
Answer: b) There appears to be a constant variance around a constant mean. Rise & Shine with AnalyticsExam.com
Que.: 05. How does Pig’s use of a schema differ from that of a traditional RDBMS? Options: a) Pig's schema requires that the data is physically present when the schema is defined b) Pig's schema supports a single data type c) Pig's schema is optional d) Pig's schema is required for ETL Rise & Shine with AnalyticsExam.com
Answer: c) Pig's schema is optional Rise & Shine with AnalyticsExam.com
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