mediumMultiple Choice
PMLE Explanation metadata Practice Question
Exhibit
Refer to the exhibit.
```yaml
deploymentResourcePool: projects/my-project/locations/us-central1/deploymentResourcePools/my-pool
disableContainerLogging: false
enableAccessLogging: true
explanationSpec:
parameters:
examples:
exampleGcsSource:
dataFormat: jsonl
gcsSource:
uris:
- gs://my-bucket/examples/*.jsonl
neighborCount: 10
neighborCount: 10
presampling: true
metadata:
inputs:
input:
inputTensor: input
modality: numeric
name: input
outputs:
output:
outputTensor: output
modality: numeric
name: output
machineSpec:
machineType: n1-standard-2
acceleratorCount: 1
acceleratorType: NVIDIA_TESLA_T4
minReplicaCount: 1
maxReplicaCount: 3
model: projects/my-project/locations/us-central1/models/123
trafficSplit:
'0': 100
```Refer to the exhibit. A machine learning engineer deployed a model on Vertex AI using this configuration. When testing the endpoint, the engineer receives a 400 error with the message: 'Invalid argument: Explanation metadata missing required field: `outputs`.' What is the most likely cause?
⚠ Common exam trap
Candidates often focus on the subfields like displayName, but the error indicates the top-level outputs field is missing.
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 explanation metadata outputs field is missing the required 'displayName' attribute.
The error message 'Invalid argument: Explanation metadata missing required field: `outputs`' indicates that the `outputs` field is entirely absent from the explanation metadata configuration. None of the provided options correctly identifies this issue. Option A incorrectly attributes the error to a missing 'displayName' attribute within an existing outputs field, which is not the cause.
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 explanation metadata outputs field is missing the required 'displayName' attribute.
Why this is correct
Incorrect. The error is about missing outputs field, not just missing displayName.
- ✗
The explanation metadata needs a 'baseline' configuration for the input.
Why it's wrong here
Incorrect. Missing baseline is a different error.
- ✗
The explanation metadata inputs field should be wrapped inside a 'visualization' block.
Why it's wrong here
Incorrect. Visualization block is not relevant.
- ✗
The explainability method chosen is not supported for the model type.
Why it's wrong here
Incorrect. Unsupported method would give a different error.
Go deeper
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This PMLE 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 PMLE exam.