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CompTIA Data+ Exam (2025) Sample Questions (Q22-Q27):

NEW QUESTION # 22
A data analyst receives the following sales data for a convenience store:
Item
Quantity
Price
Chocolate Bars
7
$1.99
Vanilla Ice Bars
2
$4.99
Chocolate Wafers
6
$0.99
Peanut Butter
2
$2.99
Cups
3
$4.99
Strawberry Jam
3
$4.99
Chocolate Cake
9
$6.99
Milk Chocolate
2
$2.99
Almonds
5
$2.99
The analyst needs to provide information on the products that contain chocolate. Which of the following RegEx should the analyst use to filter the chocolate products?

A. %Chocolate&
B. #Chocolate#$
C. Chocolate$
D. Chocolate!

Answer: C

Explanation:
This question falls under theData Acquisition and Preparationdomain, which includes techniques for manipulating and filtering data, such as using regular expressions (RegEx) to identify specific patterns in text data. The task is to filter items containing the word "Chocolate."
* Chocolate! (Option A): In RegEx, "!" is not a valid pattern for matching a word like "Chocolate." It typically denotes negation in some contexts, but here it's incorrect.
* Chocolate$ (Option B): The "$" in RegEx anchors the pattern to the end of the string, meaning it matches "Chocolate" at the end of an item name (e.g., "Milk Chocolate"). This is the most appropriate pattern for identifying items ending with "Chocolate," which applies to the relevant items in the list.
* %Chocolate& (Option C): "%" and "&" are not standard RegEx anchors; they're often used in SQL LIKE patterns, not RegEx, making this incorrect.
* #Chocolate#$ (Option D): "#" is not a standard RegEx anchor, and this pattern would look for
"Chocolate" surrounded by "#", which doesn't match the data.
The DA0-002 Data Acquisition and Preparation domain includes "executing data manipulation" , and RegEx is a common technique for filtering text data. The pattern "Chocolate$" correctly identifies items like
"Chocolate Bars," "Chocolate Wafers," "Chocolate Cake," and "Milk Chocolate." Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 2.0 Data Acquisition and Preparation

NEW QUESTION # 23
A data analyst needs to remove all duplicate values between two tables, "Employees" and "Managers," using SQL SELECT statements. Which of the following should the analyst use for this task?

A. SELECT * FROM Employees UNION ALL SELECT * FROM Managers
B. SELECT * FROM Employees JOIN SELECT * FROM Managers
C. SELECT * FROM Employees UNION SELECT * FROM Managers
D. SELECT * FROM Employees CROSS JOIN SELECT * FROM Managers

Answer: C

Explanation:
This question pertains to theData Acquisition and Preparationdomain, focusing on combining and deduplicating data using SQL. The task is to remove duplicates between two tables, meaning the analyst needs a unique set of records from both.
* SELECT * FROM Employees UNION ALL SELECT * FROM Managers (Option A): UNION ALL combines all rows from both tables, including duplicates, which doesn't meet the requirement.
* SELECT * FROM Employees UNION SELECT * FROM Managers (Option B): UNION combines rows from both tables and automatically removes duplicates, providing a unique set of records, which fits the task.
* SELECT * FROM Employees JOIN SELECT * FROM Managers (Option C): This syntax is incorrect; a JOIN requires an ON clause, and it wouldn't remove duplicates.
* SELECT * FROM Employees CROSS JOIN SELECT * FROM Managers (Option D): A CROSS JOIN creates a Cartesian product, resulting in all possible combinations, not removing duplicates.
The DA0-002 Data Acquisition and Preparation domain includes "executing data manipulation," and UNION is the correct SQL operation for combining tables while removing duplicates.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 2.0 Data Acquisition and Preparation.

NEW QUESTION # 24
A data analyst needs to provide a weekly sales report for the Chief Financial Officer. Which of the following delivery methods is the most appropriate?

A. A high-level email
B. A granular daily report in a dashboard
C. A detailed text document
D. A spreadsheet with raw data

Answer: A

Explanation:
This question pertains to theVisualization and Reportingdomain, focusing on report delivery methods for a specific audience. The Chief Financial Officer (CFO) needs a weekly sales report,suggesting a concise, executive-level summary.
* A granular daily report in a dashboard (Option A): Daily granularity is too frequent for a weekly report, and a dashboard might be too interactive for a CFO's needs.
* A detailed text document (Option B): A detailed document is too lengthy for a CFO, who typically needs a summary.
* A spreadsheet with raw data (Option C): Raw data requires further analysis, which isn't appropriate for an executive-level report.
* A high-level email (Option D): A high-level email provides a concise summary of weekly sales, tailored for an executive like a CFO, making it the most appropriate delivery method.
The DA0-002 Visualization and Reporting domain emphasizes "translating business requirements to form the appropriate visualization," and a high-level email is best for delivering a weekly summary to a CFO.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.

NEW QUESTION # 25
Which of the following data sources makes online data consumption easier?

A. Web scraping
B. Application programming interface
C. Data mart
D. Database

Answer: B

Explanation:
This question pertains to theData Concepts and Environmentsdomain, focusing on data sources that facilitate online data access. The task is to identify a source that simplifies online data consumption.
* Data mart (Option A): A data mart stores structured data for specific business areas, typically accessed internally, not designed for online consumption.
* Web scraping (Option B): Web scraping extracts data from websites but requires parsing and cleaning, which isn't necessarily "easier."
* Database (Option C): Databases store data but aren't inherently designed for online consumption without an interface.
* Application programming interface (Option D): An API provides a structured way to access data online, often in formats like JSON, making data consumption easier for applications and users.
The DA0-002 Data Concepts and Environments domain includes understanding "data sources," and APIs are specifically designed to simplify online data access.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.

NEW QUESTION # 26
A sales manager wants to understand how sales are trending year over year. Which of the following chart types is the most appropriate to display the information?

A. Bubble
B. Line
C. Donut
D. Hierarchy

Answer: B

Explanation:
This question falls under theVisualization and Reportingdomain, focusing on selecting the appropriate visualization for a specific data trend. The task is to show sales trends over time (year over year).
* Line (Option A): Line charts are ideal for displaying trends over time, such as year-over-year sales, as they clearly show changes and patterns across a continuous time axis.
* Donut (Option B): Donut charts show proportions or percentages of a whole, not suitable for time- based trends.
* Bubble (Option C): Bubble charts display three dimensions of data (e.g., size, x-axis, y-axis), not ideal for simple time trends.
* Hierarchy (Option D): Hierarchy charts (e.g., treemaps) show nested relationships, not time-based trends.
The DA0-002 Visualization and Reporting domain emphasizes "translating business requirements to form the appropriate visualization," and a line chart is best for time-series trends.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.

NEW QUESTION # 27
......

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