Which statement describes quality in Al models?

Quality of decisions in an Al model is not so significant for multi-classification models.

A drop in quality does not cause any harm to the business decisions made.

Small variations in quality may cause the wrong decision to be made.

The Al algorithm itself will compensate for the drop in quality of the data at runtime.

An energy company is creating an ML model to predict when there will be extra demand on the energy grid so preventative action can be taken to reduce usage leading up to the predicted event. The model is being monitored using OpenScale in Watson Studio. Which action can be taken to ensure that they can identify when the model negatively affects certain locations based on the input data?

Obtain an understanding of the model predictions

Ensure quality in the feedback data

Mitigate bias, including implicit bias, that humans may have

When choosing the size and number of worker and master nodes for the OpenShift environment running Cloud Pak for Data in production, which factor is the most important?

The overhead of the bedrock components and OpenShift infrastructure services.

The cloud platform provider on which the cluster is running.

Only the services that are planned to run, the nature of the workloads are not relevant.

The shared components, services, and workloads.

What are two event severity levels within Cloud Pak for Data?

Warning - Monitored resources have reached a warning threshold

Critical - Monitored resources are unstable

Minor - Monitored resources sometimes behave as expected

Major - Monitored resources always created warnings

Exception - Monitored resources are experience periodic warnings

Free IBM C1000-136 Exam Practice Questions & Explanations

Last updated on: Nov 13, 2026
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