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  2. CompTIA Certification
  3. DA0-001 Exam
  4. CompTIA.DA0-001.v2026-02-06.q156 Dumps
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Question 101

A data analyst must separate the column shown below into multiple columns for each component of the name:

Which of the following data manipulation techniques should the analyst perform?

Correct Answer: C
Parsing is the data manipulation technique that should be used to separate the column into multiple columns for each component of the name. Parsing is the process of breaking down a string of text into smaller units, such as words, symbols, or numbers. Parsing can be used to extract specific information from a text column, such as names, addresses, phone numbers, etc. Parsing can also be used to split a text column into multiple columns based on a delimiter, such as a comma, space, or dash1. In this case, the analyst can use parsing to split the column by the comma delimiter and create three new columns: one for the last name, one for the first name, and one for the middle initial. This will make the data more organized and easier to analyze.
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Question 102

Given the following data:
CustomerID
ItemBought
Date
Tre_234
Sofa
2022-09-08
216_Tre
Shoes
08/02/2021
215/Tre
Blanket
2021/06/20
045/Tre
Mug
12-26-2021
Tre-345
Lamp
31/08/2022
TREJD19
Bucket
2022'08/01
Which of the following best describes the main issue in the data set?

Correct Answer: A
Comprehensive and Detailed In-Depth Explanation:
The dataset exhibits inconsistencies in both the CustomerID and Date columns:
* CustomerID Column: The identifiers use various formats, including underscores (Tre_234), slashes (215
/Tre), hyphens (Tre-345), and combinations of letters and numbers (TREJD19). This inconsistency can lead to difficulties in data retrieval and analysis.
* Date Column: Dates are presented in multiple formats, such as YYYY-MM-DD (2022-09-08), MM/DD
/YYYY (08/02/2021), YYYY/MM/DD (2021/06/20), MM-DD-YYYY (12-26-2021), DD/MM/YYYY (31/08/2022), and an unconventional format (2022'08/01). Such variability can cause errors in date computations and analyses.
Addressing these inconsistencies is essential to ensure data quality and reliability.
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Question 103

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?

Correct Answer: B
Explanation
The best chart to use to identify the composition between the categories of the survey response data set is a pie chart. A pie chart is a circular chart that shows the relative proportions of different categories in a whole. A pie chart is divided into slices that represent the percentage or frequency of each category. A pie chart is suitable for displaying categorical data that has a few categories and does not have any hierarchical or temporal relationship. In this case, a pie chart can show the composition of the favorite colors among the survey respondents, as well as the percentage of each color. The other options are not as good as a pie chart for this purpose, as they are more suitable for displaying numerical data that has some kind of distribution, trend, correlation, or comparison. A histogram is a bar chart that shows the frequency distribution of a single numerical variable. A line chart is a chart that shows the change of one or more numerical variables over time or another continuous variable. A scatter plot is a chart that shows the relationship between two numerical variables by plotting them as points on a Cartesian plane. A waterfall chart is a chart that shows how an initial value is increased or decreased by a series of intermediate values, resulting in a final value. Reference:
[Choosing the Right Chart Type - DataCamp]
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Question 104

Refer to the exhibit.
A customer list from a financial services company is shown below:

A data analyst wants to create a likely-to-buy score on a scale from 0 to 100, based on an average of the three numerical variables: number of credit cards, age, and income. Which of the following should the analyst do to the variables to ensure they all have the same weight in the score calculation?

Correct Answer: D
Normalizing the variables means scaling them to a common range, such as 0 to 1 or -1 to 1, so that they have the same weight in the score calculation. Recoding the variables means changing their values or categories, which would alter their meaning and distribution. Calculating the percentiles of the variables means ranking them relative to each other, which would not account for their actual magnitudes. Calculating the standard deviations of the variables means measuring their variability, which would not make them comparable. Reference: CompTIA Data+ Certification Exam Objectives, page 10
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Question 105

Randy scored 76 on a math test, Katie scored 86 on a science test, Ralph scored 80 on a history test, and Jean scored 80 on an English test. The table below contains the mean and standard deviation of the scores for each of the courses:

Using this information, which of the following students had the BEST score?

Correct Answer: B
Explanation
To compare the students' scores, we need to standardize them by using the z-score formula, which is:
z = (x - ) /
where x is the raw score, is the mean, and is the standard deviation. The z-score tells us how many standard deviations a score is above or below the mean. A higher z-score means a better score relative to the average.
Using the table, we can calculate the z-scores for each student as follows:
Randy: z = (76 - 70) / 2 = 3 Katie: z = (86 - 80) / 3 = 2 Ralph: z = (80 - 75) / 2 = 2.5 Jean: z = (80 - 90) / 1 =
-10
The student with the highest z-score is Randy, with a z-score of 3. This means that Randy scored 3 standard deviations above the mean in math, which is the best performance among the four students. Therefore, the correct answer is A.
References: Comparing with z-scores (video) | Z-scores | Khan Academy, 17 Important Data Visualization Techniques | HBS Online
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