Databricks-ML-Assoc Model Deployment Practice Question
A team queries a Databricks Model Serving endpoint through the serving client and receives an error indicating the endpoint is not ready. They confirmed the endpoint exists. Which condition most directly explains why requests fail until it clears?
⚠ Common exam trap
The trap here is attributing a not-ready response to an authentication or registry problem, when it actually reflects the endpoint's own lifecycle state while replicas are still being provisioned.
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 in a state such as Updating or Not Ready while its configuration is being applied or a replica is still building.
When an endpoint is being created or its configuration is being applied, it passes through transitional states and cannot serve requests until at least one replica is ready. A not-ready error for an endpoint known to exist points to that provisioning or updating state, which resolves on its own once the deployment completes and the endpoint reports Ready.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
The endpoint is in a state such as Updating or Not Ready while its configuration is being applied or a replica is still building.
Why this is correct
Endpoints move through provisioning and updating states, and during those transitions the service may reject requests because no ready replica can serve them. Once the endpoint reaches Ready, traffic is accepted. This is the most direct explanation for an existing endpoint returning a not-ready error, and it clears without any client-side change.
- ✗
The caller's personal access token has expired.
Why it's wrong here
An expired token yields an authentication error, usually a 401, because the request cannot be attributed to a valid identity. It does not manifest as a not-ready response for an endpoint that exists. Refreshing the token resolves authentication, but it would not address an endpoint that is still provisioning replicas.
- ✗
The model version referenced by the endpoint has been deleted from the registry.
Why it's wrong here
Deleting the served model version generally causes model loading to fail and the endpoint to report an error state tied to the missing artifact, rather than a transient not-ready condition. It would also persist until the endpoint configuration is fixed or a new version is supplied, which does not match a state that simply clears on its own.
- ✗
The serving client is using the wrong workspace URL for the endpoint.
Why it's wrong here
An incorrect workspace URL typically produces a connection or authentication failure rather than a not-ready signal for an endpoint the user believes exists. Since the team already confirmed the endpoint is present in the workspace, a URL mismatch would more likely surface as a 404 or an authorization error, not a readiness state.
Visual reference
About these practice questions
This Databricks-ML-Assoc question is part of Courseiva's 319-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 Databricks exam blueprint
This Databricks-ML-Assoc practice question is part of Courseiva's free Databricks 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 Databricks-ML-Assoc exam.