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CompTIA DA0-001 certification exam, also known as the CompTIA Data+ certification, is a vendor-neutral credential that validates the skills and knowledge of IT professionals in data management, analysis, and interpretation. CompTIA Data+ Certification Exam certification is ideal for individuals who want to demonstrate their proficiency in working with data to their employers and enhance their career prospects in the field of data analysis.

CompTIA DA0-001 (CompTIA Data+ Certification) Certification Exam is a vendor-neutral certification that is designed to test and validate the knowledge and skills of professionals who are involved in data management. CompTIA Data+ Certification Exam certification is ideal for individuals who are looking to pursue a career in data management, data analysis, and data administration. DA0-001 Exam covers a wide range of topics such as data storage, data security, data privacy, and data analysis.

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CompTIA Data+ Certification Exam Sample Questions (Q92-Q97):

NEW QUESTION # 92
Given the diagram below:

Which of the following types of sampling is depicted in the image?

Answer: B

Explanation:
Explanation
Systematic sampling is a type of sampling where the sample is selected by following a fixed interval. For example, every 10th person in a list is chosen for the sample. In the image, the sample is selected by choosing every 3rd person in the line, starting from person number 1. This is an example of systematic sampling.
References: Types of Sampling Techniques in Data Analytics You Should Know, Sampling Methods | Types, Techniques & Examples - Scribbr


NEW QUESTION # 93
Which of the following describes the method of sampling in which elements of data are selected randomly from each of the small subgroups within a population?

Answer: C


NEW QUESTION # 94
Which of the following techniques is used to quantify data?

Answer: B

Explanation:
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 # 95
Which of the following best describes the process of examining data for statistics and information about the data?
* Cleansing

Answer: A

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 # 96
Which of the following roles is responsible for ensuring an organization's data quality, security, privacy, and regulatory compliance?

Answer: C

Explanation:
Explanation
Correct answer B. Data steward.
A data steward is responsible for leading an organization's data governance activities, which include data quality, security, privacy, and regulatory compliance.


NEW QUESTION # 97
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