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The CompTIA DA0-001 Exam consists of 90 multiple-choice questions and has a time limit of 90 minutes. It covers a wide range of topics, including data storage, data analysis, data visualization, and data security. DA0-001 exam is available in multiple languages, including English, Japanese, and Portuguese, and is administered at Pearson VUE testing centers around the world.

CompTIA DA0-001 exam is a valuable certification exam for those who work with data and database technologies. It is designed to test the candidate's understanding of key concepts related to data management, data analysis, and database technologies, and it is highly valued by employers in the IT industry. With the right resources and preparation, candidates can successfully pass the exam and earn their CompTIA Data+ certification.

The benefits of obtaining the CompTIA Data+ Certification include increased job opportunities, higher earning potential, and the ability to work in a variety of industries, including healthcare, finance, and government. CompTIA Data+ Certification Exam certification is also a prerequisite for higher-level certifications, such as the CompTIA Cybersecurity Analyst (CySA+) and the CompTIA Advanced Security Practitioner (CASP+).

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CompTIA Data+ Certification Exam Sample Questions (Q262-Q267):

NEW QUESTION # 262
Which of the following is the best description of the term "data governance"?

A. Data governance is the process of analyzing, manipulating, and reporting data in an organization.
B. Data governance governs the development of a data visualization dashboard in an organization.
C. Data governance is the availability, usability, integrity, and security of data in an enterprise.
D. Data governance is the policy that protects against data breaches by cybercriminals.

Answer: C

Explanation:
Data governance refers to the overarching management of data's availability, usability, integrity, and security within an organization. It involves setting policies and standards that govern data usage, determining data ownership, implementing data security measures, and ensuring that data is accessible for business insights while maintaining its quality. The goal of data governance is to ensure that data is consistent, trustworthy, and not misused, supporting compliance with data privacy regulations and enabling effective data analytics to optimize operations and drive business decision-making.
Reference:
Understanding Data Governance and Its Importance1.
The Role of Data Governance in Data Management2.
Defining Data Governance and Its Business Value3.

NEW QUESTION # 263
Which of the following best describes a difference between JSON and XML?

A. JSON strings are longer
B. JSON is much more difficult to parse.
C. JSON has to use an end tag.
D. JSON is quicker to read and write.

Answer: D

Explanation:
The best answer is A. JSON is quicker to read and write.
JSON (JavaScript Object Notation) is a lightweight data-interchange format that is based on the JavaScript programming language and easy to understand and generate. JSON uses a simple syntax that consists of name- value pairs and arrays, and does not require any end tags or attributes. JSON is quicker to read and write than XML (Extensible Markup Language), which is a markup language that uses a tag structure to represent data items. XML has a more complex and verbose syntax that requires end tags, attributes, and namespaces123

NEW QUESTION # 264
Taylor wants to investigate how manufacturing, marketing, and sales expenditures impact overall profitability for her company.
Which of the following systems is the most appropriate?

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

Answer: A

Explanation:
A Data mart is too narrow, because Taylor needs data from across multiple divisions.
OLAP is a broad term for analytical processing, and OLTP systems are transactional and not ideal for the task. Since Taylor is working with data across multiple different divisions, she will work with a Data warehouse.

NEW QUESTION # 265
A data analyst has received a data set that contains actual and projected sales for the fourth quarter of 2019. Which of the following statistical methods should the analyst use to find the measure of dispersion?

A. Variance
B. Confidence interval
C. Correlation
D. Mean

Answer: A

Explanation:
The measure of dispersion is used to describe the spread of data around a central value. In the context of a data set containing actual and projected sales, the measure of dispersion will help to understand the variability or consistency of sales figures. The variance is themost appropriate statistical method for finding the measure of dispersion because it calculates the average of the squared differences from the Mean, providing a clear picture of data spread. It is especially useful in comparing the spread between different data sets and understanding the distribution of data points.
Mean is a measure of central tendency, not dispersion.
Correlation measures the relationship between two variables, not the spread of a single variable.
Confidence intervals are used to estimate the range within which a population parameter will fall, but they do not measure dispersion within the data set itself.
Reference:
Measures of Dispersion in Statistics1
Measures of Dispersion - Definition, Formulas, Examples2
Statistical dispersion - Wikipedia3

NEW QUESTION # 266
Given the table below:

Which of the following boxes indicates that a Type Il error has occurred?

A. 0
B. 1
C. 2
D. 3

Answer: D

Explanation:
Explanation
A Type II error is a false negative conclusion, which means failing to reject a null hypothesis that is actually false. In the table, box 3 indicates that a Type II error has occurred, because it shows that the null hypothesis is accepted when it is false in reality. This means that the statistical test failed to detect a significant difference or relationship that actually exists. References: Type I & Type II Errors | Differences, Examples, Visualizations - Scribbr, Type I and type II errors - Wikipedia

NEW QUESTION # 267
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