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Question 20 (2 points) A key element in planning a data transformation is OA) planning to remove all unstructured data. B) incorporating dark data. C)
Question 20 (2 points) A key element in planning a data transformation is OA) planning to remove all unstructured data. B) incorporating dark data. C) understanding the desired structure of the data. D) understanding the quality of the question, Previous Page Next Page Page 20 of 50 Question 21 (2 points) Tasks that have which of the following attributes are the best candidates for automating except A) Creative B) Time-consuming. C) Rules-based D) Repetitive. Page 21 of 50 Previous Page Next Pag Question 22 (2 points) An external auditor examines means, standard deviations, maximum values, and minimum values. What data validation technique is the external auditor most likely using? A) Auditing a sample. B) Visual inspection C) Advanced testing technique D) Basic statistical tests. Page 22 of 50 Previous Page Next Page Question 23 (2 points) Which of the following is not a true statement? A) Data flow diagrams and flowcharts are the two most frequently used systems development documentation tools. B) Data flow diagrams and flowcharts are difficult to prepare and revise using software packages! C) Documentation tools save an organization both time and money. OD) Documentation tools are used extensively in the systems development process. Question 24 (2 points) is the process of analyzing data to make sure it has the properties of high quality data. A) Data aggregation B) Data structuring C) Data validation OD) Data imputation Previous Page Next Pay Page 24 of 5 Question 25 (2 points) For most companies, what data structure typically holds the least to the most amount of data? A) Data warehouse, data mart, data lake B) Data lake, data mart, data warehouse C) Data lake, data warehouse, data mart D) Data warehouse, data lake, data mart Previous Page Next Page Page 25 Question 26 (2 points) Which of the following is the first step to having an analytics mindset? A) interpreting and sharing results with stakeholders B) extracting, transforming and loading relevant data C) applying appropriate data analytic techniques, D) asking the right questions
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