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Exam 3 - HSC 300 Real exam question and answers latest update
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Exam 3 - HSC 300 Real exam question and answers latest update
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Exam 3 - HSC 300 Know what terms best describe bid data - ANS>a. Large volumes are voluminous, diverse, and timely data b. Complex data Understand Secondary Data Sources - ANS>Data taken from a primary record and used for a purpose different than the original use i. Ex: Registries, indexes, traumas, cancers Know the primary purpose of structured data entry - ANS>Structured data entry reduces documentation variability Know why an organization would use external secondary data - ANS>Benchmarking, performance comparisons to other organizations Understand strategic decisions and examples - ANS>i. Futuristic, long -term organizational goals made by executives Ex: for a healthcare system might include expanding the current market to a wider geographic area. An example of strategic decision -making is marketing services to a new demographic segment Understand Ad hoc reports - ANS>Generated on an as -needed basis by analysts and used one time to answer a single, specific question Know how to define data mining - ANS>Applies artificial intelligence, machine learning, and statistics to large data sets to discover patterns in the data Understand data warehouses and staging data stores - ANS>Data warehouse: Special type of database that has a single data model optimized for data analytics and extracts and stores selected data from one or more operational databases for the purpose of analytics decision support b. Data in a data warehouse is historical c. Referred as OLAP d. Staging data store extracts and cleanses data before it is loaded in the data warehouse i. In designing a data warehouse, data marts, metadata repositories, and sources systems are used Know the purpose of data cleansing - ANS>a. The process of checking internal consistency and duplication and identifying outliers and missing data in data sources b. Involves correcting and enhancing the values of individual data elements and enforcing data standards c. Detects and removes data that are out -of-date, incorrect, incomplete, or redundant Understand functions of data marts - ANS>Data marts provide predetermined analyses for use by specific business units
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