- A
Preprocess the transcripts with Cloud DLP API to redact PII before sending to Gemini
Redacting PII upstream ensures the model never receives sensitive data, providing a robust solution for compliance.
- B
Use a carefully engineered prompt instructing Gemini not to include PII
Why wrong: Prompt instructions can be ignored or fail; they are not a reliable safeguard for sensitive data.
- C
Post‑process the generated summaries with a regex filter to remove PII
Why wrong: Post‑processing is unreliable because patterns vary and regex may miss or incorrectly remove data.
- D
Fine‑tune Gemini to avoid generating PII
Why wrong: Fine‑tuning may reduce but cannot guarantee the model will never produce PII; it also requires significant effort.
Question 54 of 997
Generative AI Leader Generative AI Concepts and Technologies Practice Question
This Generative AI Leader practice question tests your understanding of generative ai concepts and technologies. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A financial institution wants to use Gemini to analyze customer support transcripts and generate summaries. They need to ensure that personally identifiable information (PII) is not included in the summaries. Which approach should they take?
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
✓
Preprocess the transcripts with Cloud DLP API to redact PII before sending to Gemini
Option A is correct because the Cloud Data Loss Prevention (DLP) API provides a purpose-built, scalable service to detect and redact PII from text before it reaches the Gemini model. This ensures that sensitive data is removed at the source, preventing any possibility of leakage in the generated summary, regardless of model behavior or prompt engineering.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Preprocess the transcripts with Cloud DLP API to redact PII before sending to Gemini
Why this is correct
Redacting PII upstream ensures the model never receives sensitive data, providing a robust solution for compliance.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use a carefully engineered prompt instructing Gemini not to include PII
Why it's wrong here
Prompt instructions can be ignored or fail; they are not a reliable safeguard for sensitive data.
- ✗
Post‑process the generated summaries with a regex filter to remove PII
Why it's wrong here
Post‑processing is unreliable because patterns vary and regex may miss or incorrectly remove data.
- ✗
Fine‑tune Gemini to avoid generating PII
Why it's wrong here
Fine‑tuning may reduce but cannot guarantee the model will never produce PII; it also requires significant effort.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google often tests the misconception that prompt engineering or post-processing can reliably handle security requirements, when in fact a dedicated data loss prevention service like Cloud DLP is the only robust approach for guaranteed PII redaction before model inference.
Detailed technical explanation
How to think about this question
Cloud DLP API uses over 150 built-in infoType detectors (e.g., EMAIL_ADDRESS, CREDIT_CARD_NUMBER) and supports custom regex patterns, context-based inspection, and statistical likelihood scoring. It can redact, mask, or tokenize PII before the text is sent to Gemini, ensuring the model never processes sensitive data. In a real-world scenario, a financial institution might combine DLP with a data loss prevention pipeline to audit and log redaction actions for compliance with regulations like GDPR or PCI DSS.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this Generative AI Leader question test?
Generative AI Concepts and Technologies — This question tests Generative AI Concepts and Technologies — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Preprocess the transcripts with Cloud DLP API to redact PII before sending to Gemini — Option A is correct because the Cloud Data Loss Prevention (DLP) API provides a purpose-built, scalable service to detect and redact PII from text before it reaches the Gemini model. This ensures that sensitive data is removed at the source, preventing any possibility of leakage in the generated summary, regardless of model behavior or prompt engineering.
What should I do if I get this Generative AI Leader question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jul 4, 2026
This Generative AI Leader practice question is part of Courseiva's free Google Cloud 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 Generative AI Leader exam.
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