[Q163-Q182] Verified DA0-001 dumps Q&As – Pass Guarantee Exam Dumps Test Engine [2025]

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Verified DA0-001 dumps Q&As – Pass Guarantee Exam Dumps Test Engine [2025]

DA0-001 dumps and 365 unique questions

CompTIA Data+ Certification Exam is a valuable credential for IT professionals who work with data. It demonstrates that the candidate has the knowledge and skills required to manage and analyze data effectively and securely. Employers may require or prefer candidates who hold this certification for roles such as data analyst, data scientist, database administrator, or business intelligence analyst. CompTIA Data+ Certification Exam certification can also help professionals advance their career by improving their job prospects and earning potential.

NO.163 A data analyst has been asked to organize the table below in the following ways:
By sales from high to low –
By state in alphabetic order –

Which of the following functions will allow the data analyst to organize the table in this manner?

Conditional formatting

Grouping

Filtering

Sorting

NO.164 Refer to the exhibit.
A development company is constructing a new Init in its apartment complex. The complex has the following floor plans:

Using the average cost per square foot of the original floor plans. which of the following should be the price of the Rose Init?

$640,900

$690,000

$705,200

$702,500

NO.165 An analyst needs to join two data sets that compare vehicle weights. One data set is in pounds, and the other has various units of measure. Which of the following should the analyst do first to the data prior to any type of join?

Blend

Reduce

Concatenate

Normalize

NO.166 An analyst needs to provide a chart to identify the composition between the categories of the survey response data set:

Which of the following charts would be BEST to use?

Histogram

Pie

Line

Scatter pot

Waterfall

NO.167 You are working with a dataset and need to swap the values in rows with those in columns.
What action do you need to perform?

Recording

Filtering.

Aggregation.

Transposition.

NO.168 An analyst develops an IT document and needs to describe the technical terms used in the document. Which of the following is where the analyst should include descriptions of the technical terms?

Glossary

System diagram

User requirements

Index

NO.169 What R package makes it easy to work with dates?

Lubridate.

Datemath.

Stringr.

ggplot.

NO.170 While reviewing survey data, a research analyst notices data is missing from all the responses to a single question. Which of the following methods would BEST address this issue?

Replace missing data.

Remove duplicate data.

Replace redundant data.

Remove invalid data.

NO.171 Which of the following should be accomplished NEXT after understanding a business requirement for a data analysis report?

Rephrase the business requirement.

Determine the data necessary for the analysis

Build a mock dashboard/presentation layout.

Perform exploratory data analysis.

NO.172 A data analyst is creating a dashboard and trying to identify the type of information that should be included.
Which of the following should the analyst consider first?

Data refresh rate

Consumer types

Access permissions

Data sources and attributes

NO.173 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 histogram

A scatter plot

A heat map

A bar chart

This is because a scatter plot is a type of chart that shows the relationship between two variables for each observation or unit in a data set, such as study hours and exam scores for each student in this case. A scatter plot can be used to display and analyze the correlation, trend, or pattern among the variables, as well as identify any outliers or clusters in the data. For example, a scatter plot can show if there is a positive, negative, or no correlation between study hours and exam scores, as well as show if there are any students who have unusually high or low exam scores compared to their study hours. The other charts are not the best charts to represent the relationship between the variables. Here is why:
A histogram is a type of chart that shows the frequency or the count of values in a single variable for different intervals or bins, such as exam scores for different ranges in this case. A histogram can be used to display and analyze the distribution, shape, or spread of the variable, as well as identify any gaps, peaks, or skewness in the data. For example, a histogram can show if most students have high, low, or average exam scores, as well as show if there are any intervals that have no students at all.
A heat map is a type of chart that shows the intensity or the magnitude of values in two variables for different categories or groups, such as exam scores and study hours for different student names in this case. A heat map can be used to display and analyze the variation, contrast, or comparison among the categories or groups, as well as identify any hot spots, cold spots, or gradients in the data. For example, a heat map can show which students have higher or lower exam scores and study hours than others, as well as show if there is a color pattern that indicates a relationship between exam scores and study hours.
A bar chart is a type of chart that shows the value or the amount of a single variable for different categories or groups, such as exam scores for different student names in this case. A bar chart can be used to display and analyze the comparison, ranking, or proportion among the categories or groups, as well as identify any differences, similarities, or outliers in the data. For example, a bar chart can show which students have higher or lower exam scores than others, as well as show if there are any students who have exceptionally high or low exam scores.

NO.174 Given the below:

Which of the following numbers represents a Type I error?

NO.175 A data analyst for a media company needs to determine the most popular movie genre. Given the table below:

Which of the following must be done to the Genre column before this task can be completed?

Append

Merge

Concatenate

Delimit

NO.176 A research analyst collects ten data points from 1.000 specimens. The analyst will not need any additional data to complete the analysis and will not need to retrieve information by specifier. Which of the following is the best data structure for the analyst to use?

NoSQL

Flat file

JSON

Relational database

NO.177 An analyst has been asked to validate data quality. Which of the following are the BEST reasons to validate data for quality control purposes? (Choose two.)

Retention

Integrity

Transmission

Consistency

Encryption

Deletion

Integrity and D. Consistency. This is because integrity and consistency are two of the best reasons to validate data for quality control purposes, which means to check and ensure that the data is accurate, complete, reliable, and usable for the intended analysis or purpose. By validating data for integrity and consistency, the analyst can prevent or correct any errors or issues in the data that could affect the validity or reliability of the analysis or the results. Here is what integrity and consistency mean in terms of data quality:
Integrity refers to the completeness and validity of the data, which means that the data has no missing, incomplete, or invalid values that could compromise its meaning or usefulness. For example, validating data for integrity could involve checking for null values, outliers, or incorrect data types in the data set.
Consistency refers to the uniformity and standardization of the data, which means that the data follows a common format, structure, or rule across different sources or systems. For example, validating data for consistency could involve checking for spelling, punctuation, or capitalization errors in the data set.
The other reasons are not the best reasons to validate data for quality control purposes. Here is why:
Retention refers to the storage and preservation of the data, which means that the data is kept and maintained in a secure and accessible way for future use or reference. Retention does not need to be validated for quality control purposes, because it does not affect the accuracy or reliability of the data itself.
Transmission refers to the transfer and exchange of the data, which means that the data is moved or shared between different sources or systems in a fast and efficient way. Transmission does not need to be validated for quality control purposes, because it does not affect the completeness or validity of the data itself.
Encryption refers to the protection and security of the data, which means that the data is encoded or scrambled in a way that prevents unauthorized access or use. Encryption does not need to be validated for quality control purposes, because it does not affect the uniformity or standardization of the data itself.
Deletion refers to the removal and disposal of the data, which means that the data is erased or destroyed in a way that prevents recovery or retrieval. Deletion does not need to be validated for quality control purposes, because it does not affect the meaning or usefulness of the data itself.

NO.178 Which of the following best describes an exploratory analysis?

Involves the use of descriptive statistics to understand observations

Involves analysis of exploring data sets for performance tracking

Involves the testing of specific hypotheses

Involves the use of arithmetic algebra to determine the distribution

NO.179 Given the following data:

Which of the following BEST describes the data set?

There is data bias.

The data is incomplete.

The data is inconsistent.

The data is outliers.

Explanation
This is because inconsistency is a type of data quality issue that occurs when the data does not follow a common format, structure, or rule across different sources or systems, which can affect the efficiency and performance of the analysis or process. Inconsistency can be caused by having different spellings, punctuations, capitalizations, or abbreviations for the same or similar values in a data set, such as “M”, “m”,
“Male”, or “male” for gender in this case. Inconsistency can be eliminated or reduced by using data cleansing techniques, such as standardizing or normalizing the data values. The other options are not correct descriptions of the data set. Here is why:
Data bias is a type of data quality issue that occurs when the data is not representative or proportional of the population or the parameter, which can affect the validity and reliability of the analysis or process.
Data bias can be caused by having a sample that is too small, too large, or too skewed for the population or the parameter, such as having only male customers for a product that targets both genders in this case.
Data bias can be eliminated or reduced by using sampling techniques, such as stratified or cluster sampling.
The data is incomplete is a type of data quality issue that occurs when the data is absent or missing in a data set, which can affect the accuracy and reliability of the analysis or process. The data is incomplete can be caused by various factors, such as human error, system error, or non-response. The data is incomplete can be addressed by using various methods, such as replacing or imputing the missing values with some reasonable estimates, such as mean, median, mode, or regression.
The data is outliers is a type of data quality issue that occurs when the data has values that are unusually high or low compared to the rest of the data set, which can affect the quality and validity of the analysis or process. The data is outliers can be caused by various factors, such as measurement error, natural variation, or extreme events. The data is outliers can be addressed by using various methods, such as removing or filtering out the outliers, or using robust statistics that are less sensitive to outliers, such as median, interquartile range, or box plot.

NO.180 Which of the following contains alphanumeric values?

10.1E2

13.6

1347

A3J7

NO.181 A data analyst for a media company needs to determine the most popular movie genre. Given the table below:

Which of the following must be done to the Genre column before this task can be completed?