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Data Concepts and EnvironmentsmediumMultiple SelectObjective-mapped

DA0-002 Data Concepts and Environments Practice Question

A data analyst is extracting data from a web page using web scraping techniques. The data will be used for market research. Which TWO of the following are common challenges associated with web scraping?

⚠ Common exam trap

CompTIA Data+ often tests the distinction between API-related challenges (rate limits, authentication) and web-scraping-specific challenges (structure changes, legal/ethical issues), so candidates mistakenly select 'Limited API rate limits' because they confuse web scraping with API consumption.

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

Legal and ethical restrictions

Web scraping often involves accessing data that may be protected by copyright, terms of service, or privacy regulations such as GDPR or the Computer Fraud and Abuse Act (CFAA). Even if data is publicly accessible, repurposing it for market research without permission can lead to legal liability or ethical violations, making this a fundamental challenge.

Answer analysis

Option-by-option breakdown

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

  • Limited API rate limits

    Why it's wrong here

    Rate limits apply to APIs, not web scraping.

  • Legal and ethical restrictions

    Why this is correct

    Many websites prohibit scraping in their terms of service, and legal issues may arise.

  • Website structure changes

    Why this is correct

    Websites frequently update their layout, breaking scrapers that rely on specific HTML elements.

  • High latency of data transfer

    Why it's wrong here

    Latency is not a typical challenge specific to web scraping.

  • Inconsistent data formatting

    Why it's wrong here

    While possible, formatting issues are often handled by data cleaning; not a primary challenge.

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