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| Section | Weight | Objectives |
|---|---|---|
| Data Mining | 25% | - Explain data acquisition concepts - Given a scenario, execute techniques for data manipulation - Explain common techniques for data manipulation and optimization - Identify common reasons for cleansing and profiling datasets |
| Visualization | 23% | - Compare and contrast types of reports - Given a scenario, apply the appropriate type of visualization - Explain important aspects of a report that tell a data story - Given a scenario, use appropriate methods for dashboard development - Given a scenario, translate business requirements to support data-driven decisions |
| Data Analysis | 23% | - Summarize types of analysis and key analysis techniques - Explain the purpose of inferential statistical methods - Given a scenario, apply the appropriate descriptive statistical methods |
| Data Concepts and Environments | 15% | - Compare and contrast different data types - Identify basic concepts of data schemas and dimensions - Compare and contrast common data structures and file formats |
| Data Governance, Quality, and Controls | 14% | - Summarize important data governance concepts - Explain key aspects of data quality - Compare and contrast types of data controls |
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NEW QUESTION # 45
Given the customer table below:
Which of the following chart types is the most appropriate to represent the average spending of active customers vs. inactive customers?
Answer: A
Explanation:
A Pie chart is the most suitable for representing the average spending of active customers versus inactive customers. Pie charts are effective for comparing parts of a whole, which makes them ideal for visually displaying the proportion of spend between two distinct groups. They are widely used to depict percentage distributions and are straightforward, allowing immediate analysis of the active vs. inactive customer spending distribution at a glance.
NEW QUESTION # 46
You would like to combine the text in two different strings to form a single string.
What action are you performing?
Answer: A
Explanation:
Simply defined, concatenation is the act of linking things together. In Microsoft Excel, the concatenation function is one of many text functions, which allows users to combine data distributed over multiple columns.
The concatenation of two or more numbers is the number formed by concatenating their numerals.
For example, the concatenation of 1, 234, and 5678 is 12345678.
NEW QUESTION # 47
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?
Answer: D
NEW QUESTION # 48
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: B
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 # 49
Refer to the exhibit.
A data analyst needs to calculate the mean for Q1 sales using the data set below:
Which of the following is the mean?
Answer: A
Explanation:
The mean is the average of all the values in a data set. To calculate the mean, we add up all the values and divide by the number of values. In this case, the mean for Q1 sales is ($2,000 + $3,000 + $4,000 + $2,500 + $3,500) / 5 = $3,082.72 Reference: CompTIA Data+ Certification Exam Objectives, page 9
NEW QUESTION # 50
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