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CompTIA Data+ Exam Sample Questions (Q12-Q17):

NEW QUESTION # 12
A manager needs a report to be sent by email every Monday for the next six months. Which of the following is the best way to accomplish this task?

Answer: A

Explanation:
This question falls under theVisualization and Reportingdomain, focusing on report delivery methods. The task requires a report to be emailed every Monday for six months, indicating a scheduled, repeating process.
* Building self-service access (Option A): Self-service allows users to generate reports on-demand, but the manager wants automatic delivery.
* Creating a data snapshot (Option B): A snapshot captures data at a specific point, not suitable for recurring delivery over six months.
* Developing a recurring process (Option C): A recurring process schedules the report to be generated and emailed every Monday, meeting the requirement for automated delivery over six months.
* Waiting for the request each week (Option D): This is manual and inefficient, not suitable for a six- month schedule.
The DA0-002 Visualization and Reporting domain includes "the appropriate visualization in the form of a report" with delivery methods, and a recurring process is ideal for scheduled email delivery.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.


NEW QUESTION # 13
A data analyst is querying a database. However, the analyst is unfamiliar with the table names, field names, data types, and field definitions. Which of the following is the best place to look for this information?

Answer: A

Explanation:
A data dictionary provides detailed information about database structures, including table names, field names, data types, and definitions, making it the primary reference for understanding the schema.


NEW QUESTION # 14
Which of the following best describes the semi-structured data that is gathered when web scraping?

Answer: B

Explanation:
This question pertains to theData Acquisition and Preparationdomain, which in DA0-002 includes understanding data acquisition concepts and the types of data gathered from varioussources, such as web scraping. Web scraping involves extracting data from websites, and the data gathered is often semi-structured, meaning it has some organizational structure but isn't fully relational like a database table.
* JSON (Option A): JSON (JavaScript Object Notation) is a semi-structured data format commonly used in web applications. Web scraping often retrieves data in JSON format via APIs or embedded scripts, as it's lightweight and structured with key-value pairs, making it ideal for semi-structured data.
* CSV (Option B): CSV (Comma-Separated Values) is a structured format typically used for tabular data. It's not commonly the direct output of web scraping, though scraped data might be converted to CSV later.
* CSS (Option C): CSS (Cascading Style Sheets) is used for styling web pages and isn't a data format, making it irrelevant for describing scraped data.
* HTML (Option D): HTML (HyperText Markup Language) is the structure of web pages and is often the raw format scraped during web scraping. While HTML is semi-structured due to its tag-based hierarchy, it's primarily a markup language, not a data format, and the actual data extracted is often parsed into formats like JSON.
The DA0-002 Data Acquisition and Preparation domain aligns with the DA0-001 focus on "data acquisition concepts" (web ID: 14), which includes identifying formats like JSON as semi-structured data commonly acquired through web scraping. JSON is the best fit here due to its prevalence in web data exchange.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 2.0 Data Acquisition and Preparation


NEW QUESTION # 15
An engineer needs to build an ETL process to calculate the average sales of individual stores.
Each store sends their sales data as .csv files. Which of the following would the engineer most likely do to the data?

Answer: D

Explanation:
Because each store provides sales data as CSV files, the engineer must first parse the files to extract and structure the data into usable datasets. This step is necessary before the ETL process can aggregate the sales data and calculate average sales for individual stores.


NEW QUESTION # 16
Which of the following makes data unreadable without a required key?

Answer: B

Explanation:
Encryption transforms data into an unreadable format using a cryptographic algorithm, and it can only be restored to its original form with the correct key.


NEW QUESTION # 17
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