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CompTIA DA0-001 Certification Exam is intended for individuals who have a basic understanding of data management concepts and technologies. It is suitable for professionals who are involved in data analysis, data warehousing, data governance, data quality, and data security. CompTIA Data+ Certification Exam certification exam is vendor-neutral, which means that it is not specific to any particular technology or product. CompTIA Data+ Certification Exam certification is recognized globally and is a valuable asset for individuals who are seeking to advance their careers in the field of data management. CompTIA Data+ Certification Exam certification exam consists of 90 multiple-choice questions, and candidates are required to score a minimum of 675 out of 900 to pass the exam.

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CompTIA Data+ Certification Exam Sample Questions (Q77-Q82):

NEW QUESTION # 77
A data analyst is designing a dashboard that will provide a story of sales and determine which site is providing the highest sales volume per customer 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?

A. Include a pie chart using the site and sales to average sales per customer.
B. Include a line chart using the site and average sales per customer.
C. Include a column chart using the site and sales to average sales per customer.
D. Include a scatter chart using sales volume and average sales per customer.

Answer: C

Explanation:
Explanation
The best type of chart to display the data is D. Include a column chart using the site and sales to average sales per customer.
A column chart is a good choice for comparing categorical data with numerical data, such as the site and sales to average sales per customer. A column chart can show the relative differences between the sites and highlight the site with the highest sales volume per customer. A column 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 sales to average sales per customer 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 sales to average sales per customer. A pie chart would also not be able to show the exact values of the sales to average sales per customer, 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 sales to average sales per customer.

NEW QUESTION # 78
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. Public databases
B. Weather surveys
C. Web scraping
D. Observations

Answer: A

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.
References:
* The systematic review on Big Data Analytics in Weather Forecasting suggests that big data techniques and technologies can manage and analyze the huge volume of weather data from different resources, which supports the use of public databases1.
* NOAA's approach to detecting severe weather events using instruments and receiving information from storm spotters indicates the importance of reliable, collected data, which is typically stored in public databases2.
* The National Weather Service's use of observational data collected by various instruments, which are then fed into forecast models, further emphasizes the value of established data collection methods over individual observations or surveys3.

NEW QUESTION # 79
Jenny wants to study the academic performance of undergraduate sophomores and wants to determine the average grade point average at different points during an academic year.
What best describes the data set she needs?

A. Observation.
B. Sample.
C. Population.
D. Variable.

Answer: B

Explanation:
Correct answer A. Sample.
Jenny does not have data for the entire population of all undergraduate sophomores. While a specific grade point average is an observation of variable, jenny needs sample data.

NEW QUESTION # 80
Which of the following best describes the process of examining data for statistics and information about the data?
Cleansing

A. Governance
B. Profiling
C. search

Answer: A

Explanation:
Explanation
Data profiling is the process of examining data for statistics and information about the data, such as the structure, format, quality, and content of the data. Data profiling can help to understand the characteristics, patterns, relationships, and anomalies of the data, as well as to identify and resolve any errors, inconsistencies, or missing values in the data. Data profiling can be done using various tools and methods, such as spreadsheets, databases, or programming languages12.

NEW QUESTION # 81
Which of the following is a best practice when updating a legacy data source?

A. Creating a codebook to document field changes
B. Removing the data source from production
C. Placing old data in new fields
D. Keeping only the most recent data

Answer: A

Explanation:
When updating a legacy data source, it is a best practice to create a codebook to document field changes. A codebook serves as a detailed guide and record of the data structure, definitions, and any transformations or modifications made to the data fields. This documentation is crucial for maintaining data integrity, ensuring consistency, and facilitating future data use and understanding. It provides a reference that can be invaluable for data analysts, developers, and any stakeholders who need to work with the data.
Creating a codebook is preferred over placing old data in new fields, which can lead to confusion and data integrity issues. Keeping only the most recent data may result in the loss of valuable historical information. Removing the data source from production is not a practice related to updating data but rather to retiring a data source1234.
Reference:
Legacy Data Migration: A Comprehensive Guide | OpenGeeksLab
How to Successfully Complete Legacy Database Migration
Methods for Saving and Integrating Legacy Data - DATAVERSITY
Legacy Data Digitization - Learn The Best Practices

NEW QUESTION # 82
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