UiPath-ADPv1 Advanced Data Manipulation Practice Question
You are processing a large DataTable named 'dt_Inventory' and need to filter it to include only rows where the 'Status' column is 'Active' and 'Stock' is greater than 50. Which method is most efficient for a performance-optimized workflow?
⚠ Common exam trap
Candidates often use a For Each row loop combined with an If activity to filter large DataTables, severely degrading workflow performance compared to in-memory LINQ queries.
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
✓
Apply the .AsEnumerable().Where(Function(r) r("Status").ToString = "Active" AndAlso CInt(r("Stock")) > 50).CopyToDataTable() method.
Using LINQ with the .Where() method is the standard for high-performance filtering in UiPath. It executes in memory, avoiding the overhead of iterating through rows using a For Each loop. This approach is critical when dealing with datasets containing thousands of records, as it reduces automation execution time and memory consumption significantly, ensuring the process remains responsive under load.
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 a For Each Row activity and an If condition to add items to a new DataTable.
Why it's wrong here
Iterating through rows using For Each Row is computationally expensive for large datasets. Each iteration adds unnecessary overhead compared to LINQ operations. While readable for small tables, it is considered an anti-pattern for high-volume data manipulation tasks where performance and scalability are key requirements for the automation.
- ✗
Use the Filter Data Table activity with the 'Remove' mode to delete unwanted rows.
Why it's wrong here
Filter Data Table is functional but often slower than LINQ expressions for complex conditions. While easy to configure, it creates a new DataTable object every time, which can lead to excessive memory allocation during high-frequency cycles. LINQ offers better granular control and performance efficiency for complex data filtering requirements.
- ✓
Apply the .AsEnumerable().Where(Function(r) r("Status").ToString = "Active" AndAlso CInt(r("Stock")) > 50).CopyToDataTable() method.
Why this is correct
This LINQ expression efficiently filters the DataTable in-memory without row-by-row iteration. Using .AsEnumerable() converts the table to a queryable format, while .Where() applies the logic concurrently. This method is the industry standard for performance-critical data manipulation in UiPath, providing a clean, concise, and highly performant way to handle large datasets.
- ✗
Use a Select method with a SQL query syntax string directly on the DataTable object.
Why it's wrong here
The DataTable.Select method is an older .NET approach that is less flexible than modern LINQ expressions. While it supports filtering strings, it lacks the type-safe capabilities and expressive power of LINQ. Relying on legacy methods can limit the developer's ability to perform complex transformations or handle null values gracefully.
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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-ADPv1 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-ADPv1 exam.