Generative AI Leader Practice Question: Business Strategies for Generative AI Solutions
A company deployed a Gemini model on Vertex AI for real-time inference. After a week, they notice that some requests return 500 Internal Server Error, and the endpoint is occasionally unreachable. The endpoint is configured with minReplicaCount=1 and maxReplicaCount=2. What is the most likely cause?
⚠ Common exam trap
A common mix-up: candidates assume autoscaling instantly handles spikes, but they overlook the provisioning delay and the fact that a single replica can be overwhelmed before the second replica is ready.
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
✓
The endpoint is under-provisioned: minReplicaCount=1 is too low for peak load, causing the single replica to become saturated.
With minReplicaCount=1 and maxReplicaCount=2, the endpoint starts with a single replica. Under peak load, that single replica can become saturated (CPU/memory exhaustion), causing 500 errors and unreachability. Autoscaling can add a second replica, but if the traffic spike is sudden or the scaling metric takes time to trigger, the single replica is overwhelmed before the second instance is provisioned.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Autoscaling is disabled, so the endpoint cannot handle traffic spikes.
Why it's wrong here
A is wrong because autoscaling is already enabled with maxReplicaCount, but min is only 1.
- ✗
The model was updated while the endpoint was serving requests.
Why it's wrong here
B is wrong because model updates cause a brief rolling restart but not persistent 500s.
- ✓
The endpoint is under-provisioned: minReplicaCount=1 is too low for peak load, causing the single replica to become saturated.
Why this is correct
C is correct because the single replica cannot handle bursts, leading to errors.
- ✗
The project has reached its Vertex AI endpoint quota.
Why it's wrong here
D is wrong because quota exceeded would return a 429 or 403, not 500.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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