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Data Acquisition and PreparationhardMultiple ChoiceObjective-mapped

DA0-002 Data Acquisition and Preparation Practice Question

A financial analyst is integrating data from multiple stock exchanges. One exchange provides trade timestamps in UTC, another in Eastern Time. The analyst needs accurate time synchronization for time-series analysis. What is the best approach?

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

Convert all timestamps to a single timezone (e.g., UTC) during ETL

(convert to UTC) is the standard. Option A (keep original with offset) adds complexity. Option B (local time) is inconsistent. Option D (ignore) leads to errors.

Answer analysis

Option-by-option breakdown

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

  • Keep original timezones and add a timezone offset column

    Why it's wrong here

    This complicates analysis as offsets must be applied each time.

  • Use the local time of the analyst's location

    Why it's wrong here

    Local time is arbitrary and not consistent across datasets.

  • Convert all timestamps to a single timezone (e.g., UTC) during ETL

    Why this is correct

    Converting to a common timezone ensures consistent timestamps for analysis.

  • Ignore timezone differences if analysis is intraday

    Why it's wrong here

    Ignoring timezone differences can cause misalignment even intraday.

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