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| Section | Weight | Objectives |
|---|---|---|
| Visualization | 23% | - Given a scenario, use appropriate methods for dashboard development - Explain important aspects of a report that tell a data story - Compare and contrast types of reports - Given a scenario, apply the appropriate type of visualization - Given a scenario, translate business requirements to support data-driven decisions |
| Data Governance, Quality, and Controls | 14% | - Compare and contrast types of data controls - Summarize important data governance concepts - Explain key aspects of data quality |
| Data Concepts and Environments | 15% | - Compare and contrast common data structures and file formats - Compare and contrast different data types - Identify basic concepts of data schemas and dimensions |
| Data Mining | 25% | - Given a scenario, execute techniques for data manipulation - Explain common techniques for data manipulation and optimization - Identify common reasons for cleansing and profiling datasets - Explain data acquisition concepts |
| Data Analysis | 23% | - Summarize types of analysis and key analysis techniques - Given a scenario, apply the appropriate descriptive statistical methods - Explain the purpose of inferential statistical methods |
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NEW QUESTION # 163
An analyst is designing a dashboard to determine which site has the highest percentage of new customers. The analyst must choose an appropriate chart to include in the dashboard. The following data is available:
Which of the following types of charts should be considered to best display the data?
Answer: D
Explanation:
The best type of chart to display the data is A. Include a bar chart using the site and the percentage of new customers data.
A bar chart is a good choice for comparing categorical data with numerical data, such as the site and the percentage of new customers. A bar chart can show the relative differences between the sites and highlight the site with the highest percentage of new customers. A bar chart can also be easily labeled and formatted to make the data clear and understandable.
A line chart is not suitable for this data, because it is used to show trends or changes over time, which is not relevant for the site and the percentage of new customers data. A line chart would also be confusing and misleading, as it would imply a connection or correlation between the sites that does not exist.
A pie chart is also not a good choice for this data, because it is used to show the proportion of a whole, not the comparison of different categories. A pie chart would also be difficult to read and interpret, as it would require labels or legends to identify the sites and their percentages. A pie chart would also not be able to show the exact values of the percentages, only their relative sizes.
A scatter chart is another inappropriate option for this data, because it is used to show the relationship or correlation between two numerical variables, not between a categorical and a numerical variable. A scatter chart would also be cluttered and unclear, as it would plot each site as a point on a coordinate plane, without any labels or axes. A scatter chart would also not be able to show the differences or rankings between the sites and their percentages.
NEW QUESTION # 164
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?
Answer: C
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.
NEW QUESTION # 165
An analyst wants to include a graph in a quarterly sales report that shows the comparison between two quantitative variables. Which of the following visual diagrams can the analyst use to most effectively represent this relationship?
Answer: A
Explanation:
A scatter plot is specifically designed to display and compare the relationship between two quantitative variables. Each point represents an observation with values on both axes, revealing patterns, correlations, or trends between the two variables. Scatter plots are a fundamental tool in data analysis for visualizing variable- to-variable relationships.
CompTIA Data+ Reference:
CompTIA Data+ Study Guide (Exam DA0-001), Chapter 7: Data Visualization and Reporting, Section
"Selecting the Right Visual for Data Relationships", Official CompTIA CertMaster Learn for Data+, Module
7.1 "Visualizing Quantitative Relationships: Scatter Plots".
NEW QUESTION # 166
Consider two different datasets, one with gas prices and the other with food prices. Which of the following measures is most affected by outliers?
Answer: D
Explanation:
The mean (average) is the most sensitive measure when it comes to outliers. If a dataset contains extreme values (either very high or very low), they disproportionately affect the mean, making it a less robust measure of central tendency.
NEW QUESTION # 167
Given the following customer and order tables:
Which of the following describes the number of rows and columns of data that would be present after performing an INNER JOIN of the tables?
Answer: A
Explanation:
This is because an INNER JOIN is a type of join that combines two tables based on a matching condition and returns only the rows that satisfy the condition. An INNER JOIN can be used to merge data from different tables that have a common column or a key, such as customer ID or order ID. To perform an INNER JOIN of the customer and order tables, we can use the following SQL statement:
This statement will select all the columns (*) from both tables and join them on the customer ID column, which is the common column between them. The result of this statement will be a new table that has seven rows and eight columns, as shown below:
The reason why there are seven rows and eight columns in the result table is because:
* There are seven rows because there are six customers and six orders in the original tables, but only five customers have matching orders based on the customer ID column. Therefore, only five rows will have data from both tables, while one row will have data only from the customer table (customer 5), and one row will have no data at all (null values).
* There are eight columns because there are four columns in each of the original tables, and all of them are selected and joined in the result table. Therefore, the result table will have four columns from the customer table (customer ID, first name, last name, and email) and four columns from the order table (order ID, order date, product, and quantity).
NEW QUESTION # 168
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