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UiPath-ADAv1 Files, Folders, and Data Manipulation Practice Question

You are developing an automation that processes thousands of small CSV files located in a local directory. Which approach provides the best performance while ensuring file integrity during the read operation?

⚠ Common exam trap

Candidates often use the 'Read Range' activity inside a loop for thousands of files, which causes massive overhead by repeatedly opening and closing the Excel application process for every file.

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

✓

Utilize the Read CSV activity with 'Has Headers' enabled and default buffering.

Using the Read CSV activity within a For Each File In Folder loop is standard, but memory efficiency is key when processing large volumes. Streaming data or using the proper DataTable configuration prevents memory bottlenecks. Understanding file locking and stream management is critical for robust automation, as improper handling leads to read-write conflicts or resource exhaustion in high-throughput enterprise environments.

Answer analysis

Option-by-option breakdown

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

  • ✗

    Use the Read Text File activity and manual splitting to parse the data.

    Why it's wrong here

    Manual parsing of CSV files is error-prone and inefficient compared to built-in activities. The overhead of splitting strings and handling delimiters manually increases development time and introduces risks regarding data types and edge cases like quoted fields containing commas, which built-in activities handle natively.

  • ✗

    Move files to a subfolder named 'Processed' immediately after reading.

    Why it's wrong here

    While moving files is a best practice for tracking, doing it immediately after reading does not optimize the read operation itself. It helps with state management but provides no performance benefit during the data extraction phase, which is the primary bottleneck when dealing with thousands of small files.

  • ✓

    Utilize the Read CSV activity with 'Has Headers' enabled and default buffering.

    Why this is correct

    The Read CSV activity is highly optimized for performance and handles common CSV edge cases automatically. Using its built-in buffering mechanisms ensures that system resources are managed effectively without manually loading the entire file into memory before processing, which is essential for maintaining stability during bulk file operations.

  • ✗

    Read all files into a single master DataTable using an Invoke Code activity.

    Why it's wrong here

    Loading thousands of files into one giant DataTable can lead to significant memory consumption and potential crashes. It is generally better to process files individually or in manageable batches. Invoke Code adds unnecessary complexity for a task that UiPath native activities handle more safely and efficiently.

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JA

Written and reviewed by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

Last reviewed September 2026 · checked against the official UiPath exam blueprint

This UiPath-ADAv1 practice question is part of Courseiva's free UiPath 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 UiPath-ADAv1 exam.