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NEW QUESTION # 306
Which of the following is an example of a data-mining ETL tool?
Answer: C
Explanation:
Explanation
A data-mining ETL tool is a software application that performs extract, transform, and load (ETL) operations on data for data mining purposes. Data mining is the process of discovering patterns, trends, and insights from large and complex data sets. ETL tools help to prepare the data for analysis by extracting data from various sources, transforming data into a consistent and suitable format, and loading data into a data warehouse or other destination. SSIS (SQL Server Integration Services) is an example of a data-mining ETL tool that is part of Microsoft SQL Server. SSIS provides graphical tools and wizards for building and debugging ETL packages that can work with various data sources and destinations. Therefore, the correct answer is A.
References: [Data Mining - SQL Server Integration Services (SSIS) | Microsoft Docs], [What Is Data Mining?
| Oracle]
NEW QUESTION # 307
A column is being used to store strings of variable lengths. Performance is a concern, so the column needs to use as little space as possible. Which of the following data types best meets these requirements?
Answer: D
Explanation:
VARCHAR is a data type optimized for storing variable-length strings. It only uses the necessary space for each value, making it more efficient in terms of storage compared to CHAR, which allocates a fixed amount of space regardless of the string's actual length.
Reference: CompTIA Data+ DA0-001 Official Guide
NEW QUESTION # 308
A data analyst is attempting to understand how ice cream consumption is affected by different attributes. such as cost, temperature. and income level. Which of the following regression analyses should the data analyst perform to understand this relationship?
Answer: A
Explanation:
answer: B. Ordinary least squares
Ordinary least squares (OLS) is a type of linear regression that is used to fit a regression model that describes the relationship between one or more predictor variables and a numeric response variable. Use when: The relationship between the predictor variable(s) and the response variable is reasonably linear. The response variable is a continuous numeric variable1.
In this case, the data analyst is interested in understanding how ice cream consumption (the response variable) is affected by different attributes, such as cost, temperature, and income level (the predictor variables).
Assuming that these variables have a linear relationship, OLS can be used to estimate the coefficients of the regression equation that best fits the data. OLS can also provide measures of goodness-of-fit, such as R- squared and adjusted R-squared, and test the significance of the coefficients using t-tests and F-tests2.
Option A is incorrect, as logistic regression is used to fit a regression model that describes the relationship between one or more predictor variables and a binary response variable. Use when: The response variable is binary - it can only take on two values1. Ice cream consumption is not a binary variable, but rather a continuous numeric variable.
Option C is incorrect, as Cox regression is used to fit a regression model that describes the relationship between one or more predictor variables and a survival time response variable. Use when: The response variable is the time until an event of interest occurs, such as death, failure, or recovery3. Ice cream consumption is not a survival time variable, but rather a continuous numeric variable.
Option D is incorrect, as polynomial regression is used to fit a regression model that describes the relationship between one or more predictor variables and a numeric response variable. Use when: The relationship between the predictor variable(s) and the response variable is non-linear1. If there is no evidence of non- linearity in the data, polynomial regression may not be appropriate, as it may overfit the data and produce unreliable estimates.
NEW QUESTION # 309
A data analyst has been asked to create a sales report that calculates the rolling 12-month average for sales. If the report will be published on November 1, 2020, which of the following months shouts the report cover?
Answer: B
NEW QUESTION # 310
When would you show time on a standard line chart?
Answer: B
NEW QUESTION # 311
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