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NEW QUESTION 20
An analyst needs to conduct a quick analysis. Which of the following is the FIRST step the analyst should perform with the data?
Answer: D
NEW QUESTION 21
Different people manually type a series of handwritten surveys into an online database. Which of the following issues will MOST likely arise with this data? (Choose two.)
Answer: C,D
NEW QUESTION 22
You are working with a dataset and need to swap the values in rows with those in columns.
What action do you need to perform?
Answer: D
Explanation:
Transpose creates a new data file in which the rows and columns in the original data file are transposed so that cases (rows) become variables and variables (columns) become cases. Transpose automatically creates new variable names and displays a list of the new variable names.
Transposing data is useful for data analysis. At times, we have to pull data from various files with different formats for analysis and preparing reports. In such circumstances, we may have to transpose some data from one file to the other. In excel, we can transpose data in multiple ways.
NEW QUESTION 23
Emma is working in a data warehouse and finds a finance fact table links to an organization dimension, which in turn links to a currency dimension that not linked to the fact table.
What type of design pattern is the data warehouse using?
Answer: C
Explanation:
Correct answer C. Snowflake.
Since the dimension links to a dimension that isn't connected to the fact table, it must be a Snowflake, with a Star, all dimensions link directly to the fact table, Sun and Comet are not data warehouse design patterns.
NEW QUESTION 24
When analyzing the values of two variables, you decide to convert both variables so they are on a scale of 0 to 1.
What term describes this action?
Answer: D
Explanation:
Normalization is the process of reorganizing data in a database so that it meets two basic requirements: There is no redundancy of data, all data is stored in only one place. Data dependencies are logical, all related data items are stored together.
Put simply, data normalization ensures that your data looks, reads, and can be utilized the same way across all of the records in your customer database. This is done by standardizing the formats of specific fields and records within your customer database.
NEW QUESTION 25
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