Question # 1 Which one of the following values will appear first if they are sorted in descending order?
A. AaronB. MollyC. XavierD. Adam
Click for Answer
C. Xavier
Answer Description Explanation :
The value that will appear first if they are sorted in descending order is Xavier. Descending order means arranging values from the largest to the smallest, or from the last to the first in alphabetical order. In this case, Xavier is the last name in alphabetical order, so it will appear first when sorted in descending order. The other names will appear in the following order: Molly, Adam, Aaron.
Question # 2 Which of the following is an example of a flat file?
A. CSV file
B. PDF file
C. JSON file
D. JPEG file
Click for Answer
A. CSV file
Answer Description Explanation :
A CSV file is a type of flat file that stores data as plain text in a table-like structure with rows and columns. Each row represents a single record, while columns represent fields or attributes of the data. A CSV file uses commas or other delimiters to separate the values in each row. A CSV file can be easily imported or exported by various applications and programs.
Question # 3 Which of the following best describes a business analytics tool with interactive visualization and business capabilities and an interface that is simple enough for end users to create their own reports and dashboards? A. PythonB. RC. Microsoft Power Bl
D. SAS
Click for Answer
C. Microsoft Power Bl
Answer Description Explanation:
The best answer is C. Microsoft Power BI.
Microsoft Power BI is a business analytics and business intelligence service by Microsoft. It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards. Power BI can connect to multiple data sources, clean and transform data, create custom calculations, and visualize data through charts, graphs, and tables. Power BI can be accessed through a web browser, mobile device, or desktop application and integrated with other Microsoft tools like Excel and SharePoint12.
Python is not correct, because Python is a general-purpose programming language that can be used for various applications, including data analysis and visualization. However, Python is not a dedicated business analytics tool, and it requires coding or programming skills to create reports and dashboards.
R is not correct, because R is a programming language and software environment for statistical computing and graphics. R can be used for data analysis and visualization, but it is not a specialized business analytics tool, and it requires coding or programming skills to create reports and dashboards.
SAS is not correct, because SAS is a software suite for advanced analytics, business intelligence, data management, and predictive analytics. SAS can provide interactive visualizations and business capabilities, but it does not have an interface that is simple enough for end users to create their own reports and dashboards. SAS also requires coding or programming skills to use its features.
Question # 4 Which of the following is a difference between a primary key and a unique key?
A. A unique key cannot take null values, whereas a primary key can take null values.
B. There can be only one primary key in a data set, whereas there can be multiple unique keys.
C. A primary key can take a value more than once, whereas a unique key cannot take a value more than once.
D. A primary key cannot be a date variable, whereas a unique key can be.
Click for Answer
B. There can be only one primary key in a data set, whereas there can be multiple unique keys.
Answer Description Explanation:
The correct answer is B. There can be only one primary key in a data set, whereas there can be multiple unique keys.
A primary key is a column or a set of columns that uniquely identifies each row in a table. A table can have only one primary key, which also enforces the NOT NULL constraint on the column(s) involved. A primary key can also be referenced by a foreign key of another table to establish a relationship between the tables.
A unique key is a column or a set of columns that also uniquely identifies each row in a table, but it is not the primary key. A table can have more than one unique key, which also allows one NULL value for the column(s) involved. A unique key can also be referenced by a foreign key of another table to establish a relationship between the tables.
Some of the differences between a primary key and a unique key are:
A primary key creates a clustered index on the column(s), whereas a unique key creates a non-clustered index on the column(s).
A primary key does not allow any NULL values, whereas a unique key allows one NULL value for the column(s).
A primary key can be a unique key, but a unique key cannot be a primary key.
Question # 5 A customer's telephone number is in the format 123-456-7890. Which of the following data types is used for the phone number? A. BooleanB. DateC. TextD. Number
Click for Answer
C. Text
Answer Description Explanation:
A telephone number, despite being composed of digits, is not used for calculations and often includes formatting characters such as hyphens (-). Therefore, the most appropriate data type for a telephone number is Text (or VARCHAR in SQL databases), which can accommodate various formats and lengths, and preserve leading zeros that might be present in some phone numbers. Storing phone numbers as numeric data types would strip away any formatting and could lead to the loss of significant leading digits (like zeros in international numbers).
Boolean is a binary data type and only represents true or false values.
Date is a data type used for dates.
Number could technically store phone numbers, but it is not suitable due to the reasons mentioned above.
Question # 6 Which of the following is a relational database? A. SQLB. ExcelC. JSOND. NoSQL
Click for Answer
A. SQL
Question # 7 An analyst is preparing a report that contains weather data. The temperatures are shown in Fahrenheit. but they must be reported in Celsius. Which of the following should the analyst do to fix this issue? A. Normalize the data.
B. Standardize the data.
C. Rescale the data.
D. Aggregate the data.
Click for Answer
C. Rescale the data.
Answer Description Explanation:
The analyst should rescale the data to fix this issue. Rescaling is a process of transforming data from one scale to another, such as changing the units of measurement. In this case, the analyst needs to rescale the temperatures from Fahrenheit to Celsius, which are two different scales for measuring temperature. To do this, the analyst can use the following formula:
Celsius = (Fahrenheit - 32) * 5/9
This formula converts each temperature value from Fahrenheit to Celsius by subtracting 32 and multiplying by 5/9. For example, if the temperature is 68°F, the rescaled value in Celsius is:
Celsius = (68 - 32) * 5/9 Celsius = 20°C
Rescaling the data can help the analyst to report the temperatures in a consistent and accurate way, and to avoid any confusion or errors that may arise from using different scales. Rescaling can also make the data more comparable and compatible with other data sources or standards that use the same scale12.
Question # 8 A data analyst is compiling a report that a Chief Executive Officer needs for an impromptu meeting. The report should include information on the previous day's performance. Which of the following reports should the analyst provide? A. TacticalB. Ad hoc
C. Dynamic
D. Recurring
Click for Answer
B. Ad hoc
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