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CompTIA Data+ Certification Exam 認定 DA0-001 試験問題 (Q189-Q194):

質問 # 189
Alex wants to use data from his corporate sale, CRM, and shipping systems to try and predict future sales.
Which of the following systems is the most appropriate?
Choose the best answer.

A. Data Warehouse.
B. OLTP.
C. OLAP.
D. Data mart.

正解：A

解説：
Correct answer: C. Data Warehouse.
Data warehouse bring together data from multiple systems used by an organization.
A data mart is too narrow, as Alex needs data from across multiple divisions.
OLAP is a broad term of analytical processing, and OLTP systems are transactional and not ideal for this task.

質問 # 190
A data analyst is working with a team to create a dashboard for a client who requires on-demand access.
Which of the following is the best delivery method to support the clients' requirement?

A. Email
B. Scheduled
C. Static
D. Subscription

正解：D

解説：
The best delivery method to support the client's requirement is C. Subscription.
Short explanation: A subscription is a delivery method that allows the client to access the dashboard on- demand, whenever they need it. A subscription can be set up by thedata analyst or the client themselves, and it can be configured to send an email notification when the dashboard is updated or refreshed.A subscription also allows the client to view the dashboard online or download it as a file format of their choice12 A: Email is not the best delivery method because it does not allow the client to access the dashboard on- demand. Email deliveries are sent at a fixed time or frequency, and they may not reflect the latest data or changes in the dashboard.Email deliveries also have limitations on the file size and format of the dashboard attachments1 B: Scheduled is not the best delivery method because it does not allow the client to access the dashboard on- demand. Scheduled deliveries are similar to email deliveries, except that they are triggered by a specific event or condition, such as a data update or a threshold value.Scheduled deliveries also have the same limitations as email deliveries on the file size and format of the dashboard attachments1 D: Static is not the best delivery method because it does not allow the client to access the dashboard on- demand. Static deliveries are one-time deliveries that are manually generated by the data analyst or the client.
Static deliveries do not update or refresh automatically, and they may become outdated or irrelevant over time.
Static deliveries also have limitations on the file size and format of the dashboard files3

質問 # 191
You should always choose the analytics tool that is most appropriate for any given situation, even if that means acquiring a new tool.

A. False.
B. True.

正解：A

解説：
Explanation
The statement is false. You should not always choose the analytics tool that is most appropriate for any given situation, even if that means acquiring a new tool. Acquiring a new tool can be costly, time-consuming, and risky, as it may not be compatible with your existing data sources, systems, or processes. It may also require additional training, maintenance, and support. Therefore, you should always consider the trade-offs between the benefits and drawbacks of acquiring a new tool versus using an existing one. You should also evaluate the feasibility, availability, and reliability of the new tool before making a decision. Reference: CompTIA Data+ (DA0-001) Practice Certification Exams | Udemy

質問 # 192
An analyst needs to provide a chart to identify the composition between the categories of the survey response data set:

Which of the following charts would be BEST to use?

A. Waterfall
B. Line
C. Histogram
D. Scatter pot
E. Pie

正解：E

解説：
A pie chart is the best choice to show the composition between the categories of the survey response data set. A pie chart represents the whole with a circle, divided by slices into parts. Each slice shows the relative size of each category as a percentage of the total. A pie chart is useful when the categories are mutually exclusive and add up to 100%. The table shows the favorite color and the number of responses for each color, which can be easily converted into percentages. A pie chart can show how each color contributes to the total number of responses.
Option A is incorrect because a histogram is used to show how data points are distributed along a numerical scale. The survey response data set is not numerical, but categorical.
Option C is incorrect because a line chart is used to show trends or changes over time. The survey response data set does not have a time dimension.
Option D is incorrect because a scatter plot is used to show the relationship between two numerical variables. The survey response data set does not have two numerical variables.
Option E is incorrect because a waterfall chart is used to show how an initial value is increased or decreased by a series of intermediate values. The survey response data set does not have an initial value or intermediate values.
Reference:
How to Choose the Right Chart for Your Data - Infogram
How to Choose the Right Data Visualization | Tutorial by Chartio
Find the Best Visualizations for Your Metrics - The Data School
How to choose the best chart or graph for your data

質問 # 193
A user receives a large custom report to track company sales across various date ranges. The user then completes a series of manual calculations for each date range. Which of the following should an analyst suggest so the user has a dynamic, seamless experience?

A. Create multiple reports, one for each needed date range.
B. Build calculations into the report so they are done automatically.
C. Add macros to the report to speed up the filtering and calculations process.
D. Create a dashboard with a date range picker and calculations built in.

正解：D

解説：
Explanation
Create a dashboard with a date range picker and calculations built in. This is because a dashboard is a type of visualization that displays multiple charts or graphs on a single page, usually to provide an overview or summary of some data or information. A dashboard can be used to track company sales across various date ranges by showing different metrics and indicators related to sales, such as revenue, volume, or growth. By creating a dashboard with a date range picker and calculations built in, the analyst can suggest a way for the user to have a dynamic, seamless experience, which means that the user can interact with and customize the dashboard according to their needs or preferences, as well as avoid any manual work or errors. For example, a date range picker is a type of feature or function that allows users to select or adjust the time period for which they want to see the data on the dashboard, such as daily, weekly, monthly, or quarterly. A date range picker can make the dashboard dynamic, as it can automatically update or refresh the dashboard with new data based on the selected time period. Calculations are mathematical operations or expressions that can be performed on the data on the dashboard, such as addition, subtraction, multiplication, division, average, sum, etc.
Calculations can make the dashboard seamless, as they can eliminate the need for manual calculations for each date range, as well as ensure accuracy and consistency of the results. The other ways are not the best ways to provide a dynamic, seamless experience for the user. Here is why:
Creating multiple reports, one for each needed date range would not provide a dynamic, seamless experience for the user, but rather create a static, cumbersome experience, which means that the user cannot interact with or customize the reports according to their needs or preferences, as well as have to deal with multiple files or pages. For example, creating multiple reports would make it difficult for the user to compare or contrast the sales across different date ranges, as well as increase the workload and complexity of managing and maintaining the reports.
Building calculations into the report so they are done automatically would not provide a dynamic, seamless experience for the user, but rather provide a partial, limited experience, which means that the user can only benefit from one aspect or feature of the report, but not from others. For example, building calculations into the report would help with avoiding manual work or errors, but it would not help with interacting with or customizing the report according to different date ranges.
Adding macros to the report to speed up the filtering and calculations process would not provide a dynamic, seamless experience for the user, but rather provide an advanced, complex experience, which means that the user would need to have some technical skills or knowledge to use or apply the macros, as well as face some potential risks or challenges. For example, adding macros to the report would require the user to know how to write or run the macros, which are a type of code or script that automates certain tasks or actions on the report, such as filtering or calculating the data. Adding macros to the report could also expose the user to some security or compatibility issues, such as viruses, malware, or errors.

質問 # 194
......

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