(2026) PASS DA0-001 Exam Free Practice Test with 100% Accurate Answers [Q87-Q108]

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(2026) PASS DA0-001 Exam Free Practice Test with 100% Accurate Answers

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CompTIA DA0-001, also known as the CompTIA Data+ Certification exam, is a vendor-neutral certification exam that validates the knowledge and skills of professionals who work with data. CompTIA Data+ Certification Exam certification exam is designed to test the candidate’s ability to manage and secure data, analyze data, and understand data storage technologies. The CompTIA Data+ Certification is an excellent choice for professionals who want to enhance their career prospects in the data management field.

CompTIA DA0-001, also known as the CompTIA Data+ Certification Exam, is a certification exam that measures an individual’s knowledge and skills in data management. CompTIA Data+ Certification Exam certification exam is designed for individuals who want to demonstrate their expertise in data management, data analysis, and data governance. DA0-001 exam covers a wide range of topics such as data storage, data security, data analysis, and data governance.

NEW QUESTION 87
A marketing analytics team received customer transaction data from two different sources. The data is complete and accurate; however, the field names appear to be inconsistent. Given the following tables:

Which of the following is considered best practice if the team wants to consolidate the files and conduct further analysis?

Standardize the field names.

Recode the data values.

Overwrite the field names in one of the tables.

Edit the field names in the data dictionary.

NEW QUESTION 88
A data analyst needs to create a dashboard using the company’s yearly revenue data sets. Which of the following would be the best way to plot the information to show the top-performing region?

A line chart

A waterfall chart

A heat map

A stacked bar chart

NEW QUESTION 89
Which of the following is a KPI metric for tracking sales performance?

Order status percentage

Customer acquisition percentage

Gross profit percentage

Click-through rate percentage

NEW QUESTION 90
Which of the following is the best description of the term “data governance”?

Data governance governs the development of a data visualization dashboard in an organization.

Data governance is the policy that protects against data breaches by cybercriminals.

Data governance is the process of analyzing, manipulating, and reporting data in an organization.

Data governance is the availability, usability, integrity, and security of data in an enterprise.

NEW QUESTION 91
Given the following data sample:

Which of the following best describes the data quality issue?

Data outlier

Consistent data

Duplicate data

Invalid data

NEW QUESTION 92
A data analyst has been asked to derive a new variable labeled “Promotion_flag” based on the total quantity sold by each salesperson. Given the table below:

Which of the following functions would the analyst consider appropriate to flag “Yes” for every salesperson who has a number above 1,000,000 in the Quantity_sold column?

Date

Mathematical

Logical

Aggregate

NEW QUESTION 93
A data analyst is attempting to understand how ice cream consumption is affected by different attributes. such as cost, temperature. and income level. Which of the following regression analyses should the data analyst perform to understand this relationship?

Logistic

Ordinary least squares

Cox

Polynomial

Answer B) Ordinary least squares
Ordinary least squares (OLS) is a type of linear regression that is used to fit a regression model that describes the relationship between one or more predictor variables and a numeric response variable. Use when: The relationship between the predictor variable(s) and the response variable is reasonably linear. The response variable is a continuous numeric variable1.
In this case, the data analyst is interested in understanding how ice cream consumption (the response variable) is affected by different attributes, such as cost, temperature, and income level (the predictor variables). Assuming that these variables have a linear relationship, OLS can be used to estimate the coefficients of the regression equation that best fits the dat a. OLS can also provide measures of goodness-of-fit, such as R-squared and adjusted R-squared, and test the significance of the coefficients using t-tests and F-tests2.
Option A is incorrect, as logistic regression is used to fit a regression model that describes the relationship between one or more predictor variables and a binary response variable. Use when: The response variable is binary – it can only take on two values1. Ice cream consumption is not a binary variable, but rather a continuous numeric variable.
Option C is incorrect, as Cox regression is used to fit a regression model that describes the relationship between one or more predictor variables and a survival time response variable. Use when: The response variable is the time until an event of interest occurs, such as death, failure, or recovery3. Ice cream consumption is not a survival time variable, but rather a continuous numeric variable.
Option D is incorrect, as polynomial regression is used to fit a regression model that describes the relationship between one or more predictor variables and a numeric response variable. Use when: The relationship between the predictor variable(s) and the response variable is non-linear1. If there is no evidence of non-linearity in the data, polynomial regression may not be appropriate, as it may overfit the data and produce unreliable estimates.

NEW QUESTION 94
An analyst has generated a report that includes the number of months in the first two quarters of 2019 when sales exceeded $50,000:

Which of the following functions did the analyst use to generate the data in the Sales_indicator column?

Aggregate

Logical

Date

Sort

NEW QUESTION 95
Which one of the following is not a good example of discrete data type?

Number of children.

Years of experience.

Attendees at a meeting.

Temperature of a room.

NEW QUESTION 96
An analyst is reviewing the following data:
Car IDSpeed
123155
566436
564418
650567
546436
645638
Which of the following should the analyst include in the measures of central tendency for speed?

Mode = 38 Range = 31 Mean = 42.5

Range = 49 Max = 67 Min = 18

Mode = 36 Max = 67 Min = 18

Mode = 36 Median = 37 Mean = 41.5

NEW QUESTION 97
Which of the following activities occurs during the ETL process?

Reviewing and addressing missing values

Creating a dashboard

Inserting a pivot table and pivot chart

Multiplying unique data

NEW QUESTION 98
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”?

Data merge

Derived variables

Data blending

Data append

NEW QUESTION 99
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

NEW QUESTION 100
Given the following data sample:

Which of the following best describes the data quality issue?

Data outlier

Consistent data

Duplicate data

Invalid data

NEW QUESTION 101
Ellen is a 17-year old student enrolled in her first year of college. Under Family Educational Rights and Privacy Act FERPA, who has the right to control disclosure of her educational records to third parties?

Ellen’s parents or guardians have this right.

In this situation, nobody is eligible to assert rights under FERPA.

The school exercises this right on Ellen’s behalf.

Ellen retains this right herself.

NEW QUESTION 102
After the daily ETL jobs are completed, the data in the reports does not appear complete, and a lot of data seems to be missing. Which of the following concepts should be used to assess and investigate further?

Cross-validation

Data profiling

Data integrity

Data consistency

Comprehensive and Detailed In-Depth
When encountering issues where reports are incomplete or data appears to be missing after ETL (Extract, Transform, Load) processes, it’s essential to assess the quality and structure of the data.Data profilingis the process of examining the data available in an existing data source and collecting statistics and information about that data. This practice helps in understanding the data’s condition, identifying anomalies, and ensuring that the data conforms to the expected patterns.
Option A:Cross-validation
Rationale:Cross-validation is a statistical method used to estimate the skill of machine learning models. It is primarily used in predictive modeling to assess how the results of a statistical analysis will generalize to an independent dataset. While valuable in model evaluation, it doesn’t address issues related to missing or incomplete data in ETL processes.
Option B:Data profiling
Rationale:Data profiling involves analyzing the data for accuracy and completeness. By performing data profiling, analysts can identify missing values, inconsistencies, and anomalies within the dataset. This process is crucial for diagnosing issues that arise during ETL operations, such as incomplete data loads or transformation errors.
Reference:
partners.comptia.org
Option C:Data integrity
Rationale:Data integrity refers to the accuracy and consistency of data over its lifecycle. While maintaining data integrity is crucial, identifying issues with missing or incomplete data requires an initial assessment through data profiling to pinpoint where integrity may have been compromised.
Option D:Data consistency
Rationale:Data consistency ensures that data remains uniform across different databases and systems. While consistency is vital, the immediate step in addressing missing data post-ETL is to profile the data to understand the scope and nature of the inconsistencies.
In summary, when faced with incomplete or missing data after ETL jobs, initiating an investigation with data profiling is the most effective approach. This process will provide insights into the data’s current state, allowing for targeted actions to resolve any identified issues.

NEW QUESTION 103
Given the image below:

Which of the following file formats is depicted?

JSON

CSV

XML

HTML

NEW QUESTION 104
A customer survey reveals 90% positive feedback. Which of the following statistical methods would be best to utilize to determine the reliability of a data set and predict how a larger sample of customers over the same time period might respond?

Calculate a high variance on survey responses.

Calculate the maximum range of the survey responses.

Calculate a low standard deviation on survey responses.

Remove any data more than 4 standard deviation from the mean.

NEW QUESTION 105
Which of the following is an example of a discrete variable?

The temperature of a hot tub

The height of a horse

The time to complete a task

The number of people in an office

NEW QUESTION 106
Given the table below:

Which of the following variable types BEST describes the “Year” column?

Numeric

Date

Alphanumeric

Text

NEW QUESTION 107
Different people manually type a series of handwritten surveys into an online database. Which of the following issues will MOST likely arise with this data? (Choose two.)

Data accuracy

Data constraints

Data attribute limitations

Data bias

Data consistency

Data manipulation

NEW QUESTION 108
Andy is a pricing analyst for a retailer. Using a hypothesis test, he wants to assess whether people who receive electronic coupons spend more on average.
What should Andy’s null hypothesis be?

People who receive electronic coupons spend more on average.

People who receive electronic coupons spend less on average.

People who receive electronic coupons do not spend more on average.

People who do not receive electronic coupons spend more on average.