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The DA0-001 Certification is ideal for professionals who are looking to advance their careers in the field of data management. CompTIA Data+ Certification Exam certification is recognized by many leading organizations, including Microsoft, Oracle, and IBM. It is also aligned with the best practices and standards of the industry, ensuring that certified professionals have the skills and knowledge required to meet the demands of the modern data-driven world.

CompTIA Data+ Certification exam is ideal for professionals who are interested in data analytics, including data analysts, data scientists, business analysts, and database administrators. CompTIA Data+ Certification Exam certification can help professionals gain a competitive edge in the job market as it validates their expertise in data analytics.

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CompTIA Data+ Certification Exam Sample Questions (Q81-Q86):

NEW QUESTION # 81
Which one of the following values would not be appropriately stored in integer data type?

A. 0
B. 1
C. 1.2
D. 2

Answer: C

NEW QUESTION # 82
Which of the following statistical methods requires two or more categorical variables?

A. Chi-squared test
B. Simple linear regression
C. Two-sample t-test
D. Z-test

Answer: A

Explanation:
Explanation
This is because a chi-squared test is a type of statistical method that tests the association or independence between two or more categorical variables, such as gender, race, or occupation. A chi-squared test can be used to compare the observed frequencies of the categories with the expected frequencies under the null hypothesis of no association or independence. For example, a chi-squared test can be used to determine if there is a relationship between smoking and lung cancer. The other statistical methods do not require two or more categorical variables. Here is why:
Simple linear regression is a type of statistical method that models the relationship between a continuous dependent variable and a continuous or categorical independent variable, such as height, weight, or education level. A simple linear regression can be used to estimate the slope and intercept of the best-fitting line that describes how the dependent variable changes with the independent variable. For example, a simple linear regression can be used to predict the weight of a person based on their height.
Z-test is a type of statistical method that tests the significance of the difference between a sample mean and a population mean, or between two sample means, when the population standard deviation or the sample sizes are large enough. A z-test can be used to compare the average scores of two groups of students on a standardized test.
Two-sample t-test is a type of statistical method that tests the significance of the difference between two sample means when the population standard deviation is unknown or the sample sizes are small. A two-sample t-test can be used to compare the average salaries of two groups of employees in different departments.

NEW QUESTION # 83
Which of the following techniques is used to quantify data?

A. Enumeration
B. Decoding
C. Coding
D. Structure

Answer: C

Explanation:
Explanation
answer: C. Coding
Coding is a technique that is used to quantify data, especially qualitative data that are not expressed numerically. Coding involves assigning codes, such as numbers, letters, symbols, or colors, to different categories or themes that emerge from the data. For example, if you have a set of survey responses that ask about the satisfaction level of customers, you can code them as follows:
Very satisfied = 5
Satisfied = 4
Neutral = 3
Dissatisfied = 2
Very dissatisfied = 1
By coding the data, you can convert them into quantitative data that can be analyzed using statistical methods, such as calculating the mean, median, mode, frequency, or percentage of each category12.
Option A is incorrect, as decoding is not a technique that is used to quantify data, but rather a process of interpreting or translating data from one form to another. For example, decoding can involve converting binary codes into text or images, or decrypting ciphertext into plaintext3.
Option B is incorrect, as enumeration is not a technique that is used to quantify data, but rather a process of listing or naming data in a specific order. For example, enumeration can involve listing the names of the states in alphabetical order, or naming the planets in order of their distance from the sun4.
Option D is incorrect, as structure is not a technique that is used to quantify data, but rather a property or characteristic of data that describes how they are organized or arranged. For example, structure can refer to the format, type, or schema of data, such as structured, semi-structured, or unstructured data.

NEW QUESTION # 84
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 static report with a different page for every filtered view
B. A daily email with snapshots of regional summaries
C. A workbook with multiple tabs for each region
D. A dashboard with filters at the top that the user can toggle

Answer: D

Explanation:
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 report2 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 dashboard3 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.

NEW QUESTION # 85
Which of the following is most likely to be used as a data-mining ETL tool?

A. Stata
B. SPSS
C. Cognos
D. SSIS

Answer: D

NEW QUESTION # 86
......

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Pass Guaranteed DA0-001 - Professional Latest CompTIA Data+ Certification Exam Exam Format

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CompTIA Data+ Certification Exam Sample Questions (Q81-Q86):

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