hardMultiple Select
Generative AI Leader Practice Question: A government agency is procuring a generative AI…
A government agency is procuring a generative AI solution for public service information. They require that the system can provide explanations for its answers, protect citizen privacy, and comply with data residency laws. Which three capabilities should they mandate? (Choose three.)
⚠ Common exam trap
The trap is selecting irrelevant capabilities like social media integration or image generation, which do not address the core requirements of explainability, privacy, and data residency.
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
✓
Support for grounding with citations to source documents
Option C (Support for grounding with citations to source documents) is correct because grounding ties generated answers to verifiable source documents and returns citations, which directly satisfies the requirement that the system can explain the basis of its answers and lets citizens and auditors trace claims back to authoritative public-service content. Option D (Differential privacy during model training or fine-tuning) is correct because differential privacy adds calibrated noise so that the model learns statistical patterns without memorizing or leaking any individual citizen's data, which is the standard technical mechanism for protecting citizen privacy in AI systems. Option E (Configurable data residency controls to keep data within specific regions) is correct because data residency laws require that data be stored and processed within designated jurisdictions, and configurable regional controls (for example, pinning storage, training, and inference to in-country regions) are how that legal constraint is enforced. Option A (Integration with social media APIs) is not required for explainability, privacy, or residency and would in fact broaden data collection and privacy risk, so it does not belong. Option B (Ability to generate images from text descriptions) is an unrelated multimodal feature that addresses none of the stated requirements for explanations, privacy, or data residency.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Integration with social media APIs
Why it's wrong here
Social media API integration adds external content channels; it delivers no explainability, privacy protection or data-residency guarantees. It is tempting because agencies often publish service updates through social platforms, but that is a distribution concern, not one of the three mandated governance capabilities the stem requires.
- ✗
Ability to generate images from text descriptions
Why it's wrong here
Text-to-image generation produces visual content and addresses none of the stated requirements: answer explanations, citizen privacy protection or data residency compliance. It is tempting because generative AI solutions frequently advertise multimodal output, but that capability is irrelevant to a public information system's governance obligations.
- ✓
Support for grounding with citations to source documents
Why this is correct
Grounding with citations ties each generated answer to verifiable source documents, giving the explanation capability the agency demands. Reviewers can trace claims back to authoritative public-service content, satisfying the transparency requirement without exposing personal data.
- ✓
Differential privacy during model training or fine-tuning
Why this is correct
Differential privacy adds calibrated noise during training or fine-tuning, so the model cannot memorise or reveal any individual citizen's records. This satisfies the privacy protection requirement by bounding what can be inferred about any single person in the dataset.
- ✓
Configurable data residency controls to keep data within specific regions
Why this is correct
Configurable data residency controls let the agency pin storage and processing to approved jurisdictions, satisfying the legal requirement that citizen data remain within specified regions. This directly addresses the data residency constraint rather than relying on contractual assurances alone.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
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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 Google Cloud exam blueprint
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