Question # 1
| A data analyst is creating a report that will provide information about various regions, products, and time periods. Which of the following formats would be the most efficient way to deliver this report? | | A. A workbook with multiple tabs for each region
| | B. A daily email with snapshots of regional summaries
| | C. A static report with a different page for every filtered view
| | D. A dashboard with filters at the top that the user can toggle
|
D. A dashboard with filters at the top that the user can toggle
Explanation:
The best format to deliver this report is D. A dashboard with filters at the top that the user can toggle.
A dashboard is a visual display of the most important information needed to achieve one or more objectives, consolidated and arranged on a single screen so the information can be monitored at a glance1 A dashboard with filters at the top that the user can toggle would allow the user to easily and quickly access the information they need about various regions, products, and time periods, without having to navigate through multiple tabs, pages, or emails. A dashboard with filters would also enable the user to compare and contrast different views of the data and see how they change over time. A dashboard with filters would also be more interactive and engaging than a static or email report.
A workbook with multiple tabs for each region would not be an efficient way to deliver this report, because it would require the user to switch between different tabs to see the information they need. This would make it harder to compare and contrast different regions, products, and time periods, and also increase the risk of errors or confusion. A workbook with multiple tabs would also be less visually appealing and more cluttered than a dashboard.
A daily email with snapshots of regional summaries would not be an efficient way to deliver this report, because it would limit the user’s ability to explore the data in depth and customize their view. A daily email would also be dependent on the frequency and timing of the email delivery, which might not match the user’s needs or preferences. A daily email would also be more likely to be ignored or deleted than a dashboard that is always accessible.
A static report with a different page for every filtered view would not be an efficient way to deliver this report, because it would create a very long and cumbersome report that would be difficult to read and understand. A static report would also not allow the user to change or update the filters as they wish, or see how the data changes over time. A static report would also be less interactive and engaging than a dashboard.
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
| A data analyst is asked on the morning of April 9, 2020, to create a sales report that identifies sales year to date. The daily sales data is current through the end of the day. Which of the following date ranges should be on the report? | | A. January 1, 2020 to April 1, 2020
| | B. January 1, 2020 to April 7, 2020
| | C. January 1, 2020 to April 8, 2020
| | D. January 1, 2020 to April 9, 2020
|
D. January 1, 2020 to April 9, 2020
Question # 4
| An employer needs to maintain adequate office staffing during the winter and wants to track storm data. Which of the following data collection methods should the employer use? | | A. Web scraping | | B. Public databases
| | C. Observations | | D. Weather surveys
|
B. Public databases
Explanation:
For an employer looking to maintain adequate office staffing during winter while tracking storm data, the most effective method would be to use public databases. These databases often contain comprehensive records of weather patterns and storm data collected and verified by reputable meteorological organizations. Utilizing public databases allows for access to historical and real-time data that is crucial for making informed decisions about staffing during adverse weather conditions.
Web scraping (A) is not the most reliable method, as it may involve extracting data from various websites that might not always provide verified or consistent information. Observations © can be subjective and may not cover a wide enough area to be effective for decision-making on a larger scale. Weather surveys (D) could provide insights, but they are not as immediate or comprehensive as the data available in public databases.
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
| An analyst needs to conduct a quick analysis. Which of the following is the FIRST step the analyst should perform with the data? | | A. Conduct an exploratory analysis and use descriptive statistics.
| | B. Conduct a trend analysis and use a scatter chart.
| | C. Conduct a link analysis and illustrate the connection points.
| | D. Conduct an initial analysis and use a Pareto chart.
|
A. Conduct an exploratory analysis and use descriptive statistics.
Explanation:
The first step the analyst should perform with the data is to conduct an exploratory analysis and use descriptive statistics. Exploratory analysis is a type of analysis that aims to summarize the main characteristics of the data, identify patterns, outliers, and relationships, and generate hypotheses for further investigation. Descriptive statistics are numerical measures that describe the central tendency, variability, and distribution of the data, such as mean, median, mode, standard deviation, range, quartiles, etc. Exploratory analysis and descriptive statistics can help the analyst gain a better understanding of the data and its quality, as well as prepare the data for further analysis.
Question # 7
| 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.
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