Question 284 of 509
Mining and Acquiring DataeasyMultiple ChoiceObjective-mapped

Quick Answer

The answer is web scraping. This method is the correct choice because it enables a data analyst to programmatically extract unstructured customer sentiment data—such as posts, comments, and reviews—directly from social media platforms using HTTP requests and HTML parsing, making it ideal for capturing large volumes of real-time, publicly available opinions without relying on self-reported or curated responses. On the CompTIA Data+ DA0-001 exam, this question tests your understanding of data acquisition methods and their appropriate use cases, often contrasting web scraping with APIs, surveys, or focus groups; a common trap is assuming an API is always better, but many social platforms lack public APIs for sentiment data or restrict access, while scraping works on publicly visible content. To remember this, think of the mnemonic “Scrape the Surface” — web scraping is your go-to when you need to pull unstructured, surface-level public data from websites that don’t offer a direct API feed.

DA0-001 Mining and Acquiring Data Practice Question

This DA0-001 practice question tests your understanding of mining and acquiring data. Compare every option against the stated constraints before choosing — the best answer satisfies all requirements, not just the most obvious one. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

A data analyst needs to collect customer sentiment data from social media platforms. Which data acquisition method is most appropriate?

Question 1easymultiple choice
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Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Use web scraping

Web scraping is the most appropriate method because it allows the data analyst to programmatically extract unstructured customer sentiment data (e.g., posts, comments, reviews) directly from social media platforms using HTTP requests and HTML parsing. Unlike surveys or focus groups, scraping can collect large volumes of real-time, publicly available data without relying on self-reported or curated responses.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Conduct a survey

    Why it's wrong here

    Surveys are useful for direct feedback but not for passive social media data.

  • Organize focus groups

    Why it's wrong here

    Focus groups are qualitative and small-scale, not suitable for large-scale social media collection.

  • Use web scraping

    Why this is correct

    Web scraping automates extraction of data from social media platforms.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Query the internal CRM

    Why it's wrong here

    CRM contains internal customer data, not external social media sentiment.

Common exam traps

Common exam trap: answer the scenario, not the keyword

CompTIA often tests the distinction between primary data collection (surveys, focus groups) and secondary data acquisition (web scraping, APIs), where candidates mistakenly choose a primary method for a task that requires large-scale, unsolicited external data.

Detailed technical explanation

How to think about this question

Web scraping for social media sentiment typically involves sending HTTP GET requests to platform endpoints (e.g., Twitter API v2 or scraping public pages with BeautifulSoup/Scrapy), then parsing HTML or JSON responses to extract text, timestamps, and user metadata. A subtle challenge is handling rate limits (e.g., 450 requests per 15-minute window on Twitter) and dynamic content loaded via JavaScript, which may require headless browsers like Selenium or Puppeteer. In a real-world scenario, a data analyst scraping Reddit for product sentiment must respect robots.txt directives and implement polite delays to avoid IP bans.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.

TExam Day Tips

  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

A practitioner preparing for the DA0-001 exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

Related practice questions

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FAQ

Questions learners often ask

What does this DA0-001 question test?

Mining and Acquiring Data — This question tests Mining and Acquiring Data — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Use web scraping — Web scraping is the most appropriate method because it allows the data analyst to programmatically extract unstructured customer sentiment data (e.g., posts, comments, reviews) directly from social media platforms using HTTP requests and HTML parsing. Unlike surveys or focus groups, scraping can collect large volumes of real-time, publicly available data without relying on self-reported or curated responses.

What should I do if I get this DA0-001 question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

About these practice questions

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Same concept, more angles

1 more ways this is tested on DA0-001

These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.

Variation 1. Which TWO are valid data acquisition methods? (Select two.)

medium
  • A.Web scraping
  • B.Data normalization
  • C.API calls
  • D.Data encryption
  • E.Data profiling

Why A: Web scraping and API calls are direct methods to acquire data from external sources. Data profiling and data normalization are data preparation techniques, not acquisition. Data encryption is a security measure.

Last reviewed: Jun 30, 2026

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This DA0-001 practice question is part of Courseiva's free CompTIA certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DA0-001 exam.