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CompTIA DA0-001 Exam Questions

CompTIA DA0-001 Exam Questions Answers

CompTIA Data+ Certification Exam

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CompTIA DA0-001 Sample Questions – Free Practice Test & Real Exam Prep

Question #1

Angela is aggregating data from CRM system with data from an employee system.While performing an initial quality check, she realizes that her employee ID is not associated with heridentifier in the CRM system.What kind of issues is Angela facing?Choose the best answer.

  • A. ETL process.
  • B. Record linkage.
  • C. ELT process.
  • D. System integration.
Answer: B
Explanation:
While this scenario describes a system integration challenge that can be solved with ETL or ELT,
Angela is facing a Record linkage issue
Question #2

A data analyst wants to create "Income Categories" that would be calculated based on the existingvariable "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 "IncomeCategories"?

  • A. Data merge
  • B. Derived variables
  • C. Data blending
  • D. Data append
Answer: B
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.
Question #3

A data scientist wants to see which products make the most money and which products attract themost customer purchasing interest in their company.Which of the following data manipulation techniques would he use to obtain this information?

  • A. Data append
  • B. Data blending
  • C. Normalize data
  • D. Data merge
Answer: B
Explanation:
The correct answer is B: Data blending.
Data blending is combining multiple data sources to create a single, new dataset, which can be
presented visually in a dashboard or other visualization and can then be processed or analyzed.
Enterprises get their data from a variety of sources, and users may want to temporarily bring
together different datasets to compare data relationships or answer a specific question. Data append
is incorrect. Data append is a process that involves adding new data elements to an existing
database. An example of a common data append would be the enhancement of a company's
customer files. A data append takes the information they have, matches it against a larger database
of business data, allowing the desired missing data fields to be added. Normalize data is incorrect.
Data normalization is the process of structuring your relational customer database, following a series
of normal forms. This improves the accuracy and integrity of your data while ensuring that your
database is easier to navigate. Data merge is incorrect. Data merging is the process of combining two
or more data sets into a single data set.

Question #4

Which of the following value is the measure of dispersion "range" between the scores of tenstudents in a test.The scores of ten students in a test are 17, 23, 30, 36, 45, 51, 58, 66, 72, 77.

  • A. 90
  • B. 60
  • C. 70
  • D. 80
Answer: B
Explanation:
The correct answer is: 60
Range is the interval between the highest and the lowest score.
Range is a measure of variability or scatteredness of the varieties or observations among themselves
and does not give an idea about the spread of the observations around some central value.
Symbolically R = Hs - Ls.
Where R = Range; Hs is the 'Highest score' and Ls is the Lowest Score.
The scores of ten students in a test are: 17, 23, 30, 36, 45, 51, 58, 66, 72, 77.
The highest score is 77 and the lowest score is 17.
So the range is the difference between these two scores Range = 77 - 17 = 60
Question #5

The ACME Corporation hired an analyst to detect data quality issues in their Excel documents. Whichof the following are the most common issues? (Select TWO)

  • A. Apostrophe.
  • B. Commas.
  • C. Symbols.
  • D. Duplicates.
  • E. Misspellings.
Answer: D, E
Explanation:
1. Duplicates
2. Misspellings
The most common data quality issues are difficult to resolve in Excel because of their rigidity. It
forces analysts to do a ton of manual work, which results in a high probability of an error being
introduced to the data set. Those common issues include:
- Blanks
- Nulls
- Outliers
- Duplicates
- Extra spaces
- Misspellings
- Abbreviations and domain-specific variations
- Formula error codes
When introduced, these errors can skew or even invalidate the resulting analysis. A smart tool would
minimize the possibility of error by automating the manual work. In Excel, you might look for data
quality issues in one of two ways. First, you might use auto filters on specific columns to scan for
anomalies and blanks or you might use a pivot table to find gaps and discrepancies.
In either case, you're scanning for the anomalies yourself. Suffice it to say that's not a very efficient
process. It also means accuracy is only as good as the analyst's eye, so the probability of error varies
throughout the day.

Question #6

A web developer wants to ensure that malicious users can't type SQL statements when they askedfor input, like their username/userid.Which of the following query optimization techniques would effectively prevent SQL Injectionattacks?

  • A. Indexing.
  • B. Subset of records.
  • C. Temporary table in the query set.
  • D. Parametrization.
Answer: D
Explanation:
The correct answer is D: Parametrization. Parameterized SQL queries allow you to place parameters
in an SQL query instead of a constant value. A parameter takes a value only when the query is
executed, allowing the query to be reused with different values and purposes. Parameterized SQL
statements are available in some analysis clients, and are also available through the Historian SDK.
For example, you could create the following conditional SQL query, which contains a parameter for
the collector's name: SELECT* FROM ExamsDigest WHERE coursename=? ORDER BY tagname SQL
Injection is best prevented through the use of parameterized queries.

Question #7

A junior web developer is developing a new application where users can upload short videos. Thefirst task is to create a homepage that shows the headline "Upload Your Short Videos" and a clickablebutton that says "upload now".Which of the following HTML commands would help the developer to complete the tasksuccessfully?

  • A. < span >Upload Your Short Videos< /span >< button >upload now< /button >
  • B. < p >Upload Your Short Videos< /p >< p >upload now< /p >
  • C. < hl >Upload Your Short Videos< /h1 >< button >upload now< /button >
  • D. < hl >Upload Your Short Videos< /h1 >< hl >upload now< /h1 >
Answer: C
Explanation:
The HTML commands that would help the developer to complete the task successfully are
<h1>Upload Your Short Videos</h1> and <button>upload now</button>. The <h1> tag defines a
heading level 1, which is the largest and most important heading on a webpage. The <button> tag
defines a clickable button that can perform some action when clicked. The other options are not
suitable for the task, as they either use the wrong tags or do not create a clickable button. The
<span> tag defines a section of text with no specific meaning or formatting. The <p> tag defines a
paragraph of text. The <hl> tag does not exist in HTML. Reference: HTML Tags - W3Schools
Question #8

A junior web developer is developing a new application where users can upload short videos. Thefirst task is to create a homepage that shows the headline "Upload Your Short Videos" and a clickablebutton that says "upload now".Which of the following HTML commands would help the developer to complete the tasksuccessfully?

  • A. < span >Upload Your Short Videos< /span >< button >upload now< /button >
  • B. < p >Upload Your Short Videos< /p >< p >upload now< /p >
  • C. < hl >Upload Your Short Videos< /h1 >< button >upload now< /button >
  • D. < hl >Upload Your Short Videos< /h1 >< hl >upload now< /h1 >
Answer: C
Explanation:
The HTML commands that would help the developer to complete the task successfully are
<h1>Upload Your Short Videos</h1> and <button>upload now</button>. The <h1> tag defines a
heading level 1, which is the largest and most important heading on a webpage. The <button> tag
defines a clickable button that can perform some action when clicked. The other options are not
suitable for the task, as they either use the wrong tags or do not create a clickable button. The
<span> tag defines a section of text with no specific meaning or formatting. The <p> tag defines a
paragraph of text. The <hl> tag does not exist in HTML. Reference: HTML Tags - W3Schools
Question #9

Which of the following contains alphanumeric values?

  • A. 10.1Ε²
  • B. 13.6
  • C. 1347
  • D. A3J7
Answer: D
Explanation:
Alphanumeric values are values that contain both letters and numbers, such as A3J7. The other
options are numeric values, as they contain only numbers, such as 10.1E2, 13.6, and 1347.
Reference: Guide to CompTIA Data+ and Practice Questions - Pass Your Cert
Question #10

Which of the following is an example of a discrete data type?

  • A. 8in (20cm)
  • B. 5 kids
  • C. 2.5mi (4km)
  • D. 10.7lbs (4.9kg)
Answer: B
Explanation:
A discrete data type is a data type that can only take on a finite number of values, such as integers or
categories. An example of a discrete data type is the number of kids, as it can only be a whole
number. The other options are examples of continuous data types, as they can take on any value
within a range. The length in inches or centimeters, the distance in miles or kilometers, and the
weight in pounds or kilograms are all continuous data types. Reference: CompTIA Data+ (DA0-001)
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