UiPath-ADPv1 API Automation Practice Question
An automation developer is building an integration with a third-party REST API that returns a JSON payload containing over 50,000 transaction records per request. The process frequently throws an OutOfMemoryException inside UiPath Studio when attempting to parse the entire response string using standard string manipulation. Which approach should the developer use to handle this large response efficiently?
⚠ Common exam trap
Candidates choose standard string deserialization methods for massive payloads, forgetting this loads the entire structure into memory and triggers OutOfMemoryExceptions.
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
✓
Configure the HTTP Request activity to stream the response directly into a JsonTextReader instance for token-based processing.
Deserializing large JSON payloads entirely into memory is a primary cause of resource exhaustion in automation workflows. By utilizing Newtonsoft.Json with JsonTextReader, developers can stream the JSON data token by token instead of loading the complete document structure into memory simultaneously. This memory-efficient architecture ensures long-running unattended processes remain stable and scale effectively when consuming massive external payloads from enterprise REST endpoints.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Increase the available RAM on the Orchestrator robot machine to accommodate larger string allocations during the deserialization phase.
Why it's wrong here
Scaling hardware resources is a reactive workaround rather than a robust architectural fix for inefficient memory consumption patterns. Large payloads will eventually exhaust any arbitrary RAM limit as data volumes grow over time, leading to recurring production failures.
- ✗
Wrap the HTTP Request activity inside a Parallel For Each activity to divide the response string into concurrent processing threads.
Why it's wrong here
Splitting a raw response string arbitrarily across parallel threads does not resolve the root memory allocation issue caused by loading the massive string into memory initially. Furthermore, unstructured string slicing typically corrupts valid JSON syntax, causing parsing exceptions.
- ✓
Configure the HTTP Request activity to stream the response directly into a JsonTextReader instance for token-based processing.
Why this is correct
Streaming the response avoids loading the entire payload into memory by reading tokens sequentially, dramatically reducing the memory footprint of the automation process. This approach is essential for handling massive enterprise payloads reliably in production environments without resource crashes.
- ✗
Disable the SSL verification properties on the HTTP Request activity to bypass encryption overhead during the large data transfer.
Why it's wrong here
Bypassing SSL verification compromises network security protocols and does not reduce the memory footprint required to parse massive JSON strings. Encryption overhead affects CPU utilization rather than the managed heap memory consumed by large string objects.
About these practice questions
This UiPath-ADPv1 question is part of Courseiva's 276-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
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-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.