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Exam DA0-001 Pattern, DA0-001 Actual Dumps

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CompTIA DA0-001 exam covers a wide range of topics related to data management, including data quality, database design, data warehousing, and data governance. DA0-001 exam is divided into two parts, where the first part covers the fundamentals of data management, while the second part focuses on advanced data management concepts. DA0-001 exam is designed to test the knowledge and skills of individuals who have experience working with different types of databases, data models, and data analysis tools.

CompTIA Data+ Certification Exam covers a wide range of topics, including data storage and management, security, privacy, and ethics. Candidates who Pass DA0-001 Exam demonstrate their ability to work with different types of data, such as structured and unstructured data, and their understanding of data management best practices.

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2025 DA0-001: Trustable Exam CompTIA Data+ Certification Exam Pattern

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The primary aim of the CompTIA DA0-001 (CompTIA Data+) Certification Exam is to validate an individual's fundamental understanding of data principles and data management solutions. The successful completion of DA0-001 exam validates that one has the fundamental data knowledge and skills necessary for an entry-level data analyst, data technician, or data operator role. Many IT hiring managers look for the CompTIA Data+ certification as evidence of a candidate's baseline data competencies, making it an excellent starting point for those pursuing a broader career in data science.

CompTIA Data+ Certification Exam Sample Questions (Q136-Q141):

NEW QUESTION # 136
Which of the following are reasons to create and maintain a data dictionary? (Choose two.)

A. To improve data acquisition
B. To remember specifics about data fields
C. To reduce processing power requirements
D. To specify user groups for databases
E. To provide continuity through personnel turnover
F. To confine breaches of PHI data

Answer: B,E

Explanation:
A data dictionary is a collection of metadata that describes the data elements in a database or dataset. It can help improve data acquisition by providing information about the data sources, formats, quality, and usage. It can also help remember specifics about data fields, such as their names, definitions, types, sizes, and relationships. Therefore, options B and D are correct.
Option A is incorrect because it is not a reason to create and maintain a data dictionary, but a benefit of doing so.
Option C is incorrect because specifying user groups for databases is not a function of a data dictionary, but a function of a database management system or a security policy.
Option E is incorrect because confining breaches of PHI data is not a function of a data dictionary, but a function of a data protection or encryption system.
Option F is incorrect because reducing processing power requirements is not a function of a data dictionary, but a function of a data compression or optimization system.

NEW QUESTION # 137
A data analyst wants to create "Income Categories" that would be calculated based on the existing variable "Income". The "Income Categories" would be as follows:
Income category 1: less than $1.
Income category 2: more than $1 and less than $20,000.
Income category 3: more than $20,001 and less than $40,000.
Income category 4: more than $40,001.
Which of the following data manipulation techniques should the data analyst use to create "Income Categories"?

A. Data blending
B. Data append
C. Data merge
D. Derived variables

Answer: D

Explanation:
The correct answer is B: Derived variables Derived variables are variables that you create by calculating or categorizing variables that already exist in your data set.
Data merge is incorrect. Data merging is the process of combining two or more data sets into a single data set. Data blending is incorrect.
Data blending involves pulling data from different sources and creating a single, unique, dataset for visualization and analysis.
Data append is incorrect. A data append is a process that involves adding new data elements to an existing database.

NEW QUESTION # 138
The number of phone calls that call center receives in a day is an example of:

A. continuous data.
B. discrete data.
C. ordinal data.
D. categorical data.

Answer: B

NEW QUESTION # 139
During data profiling, an analyst decides to recode the status column in the following data set:

Which of the following data concerns explains why the analyst wants to take this action?

A. Duplication
B. Invalidity
C. Inconsistency
D. Redundancy

Answer: C

NEW QUESTION # 140
A data analyst was asked to create a chart that shows the relationship between study hours and exam scores for each student using the data sets in the table below:

Which of the following charts would BEST represent the relationship between the variables?

A. A heat map
B. A histogram
C. A bar chart
D. A scatter plot

Answer: D

NEW QUESTION # 141
......

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