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DA0-001 Exam
CompTIA.DA0-001.v2024-11-18.q219 Dumps

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Question 146

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?

A.Append
B.Merge
C.Concatenate
D.Delimit

Correct Answer: D

Explanation
Delimiting is the process of splitting a column of data into multiple columns based on a separator or delimiter character. Delimiting can help separate data that is combined or concatenated in one column into distinct values or categories. For example, if a column contains text values that are separated by commas, such as
"Comedy, Suspense", delimiting can split this column into two columns, one for "Comedy" and one for
"Suspense". Delimiting is different from other options, such as appending, merging, or concatenating, which are methods of combining or joining data from multiple columns or sources. In this case, the data analyst needs to determine the most popular movie genre based on the Genre column in the table. However, this column contains multiple genres for each movie, separated by commas. Therefore, the data analyst must delimit this column before this task can be completed. Therefore, the correct answer is D. References: Split text into different columns with functions - Office Support, How to Split Text in Excel (Using Formulas & Split Function)

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Question 147

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?

A.NoSQL
B.Flat file
C.JSON
D.Relational database

Correct Answer: B

A flat file is a type of data structure that stores data in a plain text format, such as CSV, TSV, or TXT. A flat file consists of one or more records, each containing one or more fields, separated by a delimiter, such as a comma, tab, or space. A flat file does not have any hierarchical or relational structure, and does not support any complex queries or operations1.
A flat file may be the best data structure for the analyst to use in this scenario, because:
The analyst collects ten data points from 1,000 specimens, which means the data is relatively small and simple, and can be easily stored and processed in a flat file.
The analyst will not need any additional data to complete the analysis, which means the data is static and does not require any updates or modifications.
The analyst will not need to retrieve information by specifier, which means the data does not require any indexing or searching by key or value.

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Question 148

Which of the following techniques is used to quantify data?

A.Decoding
B.Enumeration
C.Coding
D.Structure

Correct Answer: C

Explanation
answer: C. Coding
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.

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Question 149

While reviewing survey data, an analyst notices respondents entered "Jan," "January," and "01" as responses for the month of January. Which of the following steps should be taken to ensure data consistency?

A.Delete any of the responses that do not have "January" written out.
B.Replace any of the responses that have "01".
C.Filter on any of the responses that do not say "January" and update them to "January".
D.Sort any of the responses that say "Jan" and update them to "01".

Correct Answer: C

Filter on any of the responses that do not say "January" and update them to "January". This is because filtering and updating are data cleansing techniques that can be used to ensure data consistency, which means that the data is uniform and follows a standard format. By filtering on any of the responses that do not say "January" and updating them to "January", the analyst can make sure that all the responses for the month of January are written in the same way. The other steps are not appropriate for ensuring data consistency. Here is why:
Deleting any of the responses that do not have "January" written out would result in data loss, which means that some information would be missing from the data set. This could affect the accuracy and reliability of the analysis.
Replacing any of the responses that have "01" would not solve the problem of data inconsistency, because there would still be two different ways of writing the month of January: "Jan" and "January". This could cause confusion and errors in the analysis.
Sorting any of the responses that say "Jan" and updating them to "01" would also not solve the problem of data inconsistency, because there would still be two different ways of writing the month of January: "01" and "January". This could also cause confusion and errors in the analysis.

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Question 150

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?

A.Randy
B.Katie
C.Ralph
D.Jean

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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