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DA0-001 Practice Questions

Question # 1
A data analyst needs to create a dashboard to help identify trends in the data sets. Which of the following is an appropriate consideration for dashboard development?
A. Data sources and attributes
B. Frequently asked questions
C. A report from the data source
D. A comparison of data sets


A. Data sources and attributes

Explanation: When creating a dashboard to identify trends in data sets, the most appropriate consideration is the data sources and attributes. This is because the quality, reliability, and structure of the data sources directly influence the dashboard’s ability to accurately reflect trends. Attributes, such as the type of data and the time frame it covers, are crucial for trend analysis. A well-designed dashboard should provide a clear and intuitive representation of the data, allowing for easy identification of trends and patterns. Frequently asked questions (B) can inform the design of the dashboard but are not a direct consideration for the development process itself. A report from the data source © might be an output of the dashboard but does not guide its development. A comparison of data sets (D) could be a feature of the dashboard, but the underlying data sources and attributes must be considered first to ensure accurate and meaningful comparisons.

Question # 2
A data analyst needs to create a data visualization that aids in un the cumulative impact of sequentially introduced values that are positive or negative. Which of the following data visualization methods should the analyst use?
A. A bubble chart
B. A waterfall chart
C. A scatter plot
D. A line chart


B. A waterfall chart

Explanation: A waterfall chart is a type of data visualization that shows the cumulative impact of sequentially introduced values that are positive or negative. A waterfall chart typically has an initial value and a final value, with intermediate values shown as floating columns that either add to or subtract from the initial value. A waterfall chart can help visualize how different factors contribute to a net change in a value over time. Therefore, the correct answer is B.

Question # 3
Which one of the following values will appear first if they are sorted in descending order?
A. Aaron
B. Molly
C. Xavier
D. Adam


C. Xavier

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 # 4
Which of the following data manipulation techniques should an analyst use to hide unnecessary data during analysis?
A. Filtering
B. Parametrization
C. Sorting
D. Indexing


A. Filtering


Question # 5
A data analyst has been asked to create an ad-hoc sales report for the Chief Executive Officer (CEO). Which of the following should be included in the report?
A. The sales representatives' home addresses.
B. Line-item SKU numbers.
C. YTD total sales.
D. The customers' first and last names.


C. YTD total sales.

Explanation: The report for the CEO should include YTD total sales, as this will provide a high-level overview of the sales performance of the company and show how it is meeting its annual goals. The other options are not appropriate for the CEO, as they are either too detailed or irrelevant for the report. The sales representatives’ home addresses, line-item SKU numbers, and customers’ first and last names are not related to the sales performance and might compromise the privacy and security of the data.

Question # 6
Which of the following is a relational database?
A. SQL
B. Excel
C. JSON
D. NoSQL


A. SQL


Question # 7
A sales analyst needs to report how the sales team is performing to target. Which of the following files will be important in determining 2019 performance attainment?
A. 2018 goal data
B. 2018 actual revenue
C. 2019 goal data
D. 2019 commission plan


C. 2019 goal data

Explanation:
Answer: C. 2019 goal data

To report how the sales team is performing to target, the sales analyst needs to compare the actual sales revenue with the expected or planned sales revenue for the same period. The 2019 goal data is the file that contains the expected or planned sales revenue for the year 2019, which is the target that the sales team is aiming to achieve. By comparing the 2019 goal data with the 2019 actual revenue, the sales analyst can calculate the performance attainment, which is the percentage of the goal that was met by the sales team.

Option A is incorrect, as 2018 goal data is not relevant for determining 2019 performance attainment. The 2018 goal data contains the expected or planned sales revenue for the year 2018, which is not the target that the sales team is aiming to achieve in 2019.

Option B is incorrect, as 2018 actual revenue is not relevant for determining 2019 performance attainment. The 2018 actual revenue contains the actual sales revenue for the year 2018, which is not comparable with the 2019 goal data or the 2019 actual revenue.

Option D is incorrect, as 2019 commission plan is not relevant for determining 2019 performance attainment. The 2019 commission plan contains the rules and rates for calculating and paying commissions to the sales team based on their performance attainment, but it does not contain the expected or planned sales revenue for the year 2019.

Question # 8
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?
A. Recording
B. Filtering
C. Aggregation
D. Transposition


D. Transposition

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.

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CompTIA DA0-001 Exam Dumps

Exam Name: CompTIA Data+ Certification
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