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What does Watson OpenScale require to generate statistics?
Answer : C
Training Data Statistics: Watson OpenScale needs to understand the characteristics of the data the model was trained on. This includes things like the distribution of features, sensitive attributes (for fairness monitoring), and how the model performed on this initial data. These 'training data statistics' are crucial for:
Fairness Configuration: Recommending fairness attributes, reference, and monitored groups.
Bias Detection: Calculating fairness metrics (like disparate impact) by comparing runtime behavior to the learned training data distribution.
Explainability: Generating explanations by understanding the distribution of values in the training data to create meaningful perturbations.
Drift Detection: Building a drift detection model that compares runtime data to the training data to identify shifts.
While Watson OpenScale also consumes payload data (the data sent to the deployed model for predictions) at runtime to calculate various metrics and perform monitoring, the initial setup and the ability to generate meaningful statistics for things like fairness and drift fundamentally rely on understanding the training data
Which two Cloud Pak for Data services support storage class NFS?
Answer : B, D
IBM Cloud Pak for Data supports NFS-backed persistent volumes (RWX storage class) for services that require access to shared file storage. Among the available services, IBM Knowledge Catalog and Watson Discovery are known to support NFS storage classes in installation configuration (e.g. ''managed-nfs-storage'') for persistent metadata and document storage. Other services like watsonx Assistant, Watson Knowledge Studio, and Planning Analytics use different storage mechanisms and do not necessarily support NFS shared storage in the standard CP4D 4.7 deployment.
If a Cloud Pak for Data cluster is air-gapped, it is unable to reach the internet, and a private registry must be configured for installations and upgrades. Beyond container images, what other components need to be addressed?
Answer : A
In air-gapped (offline) environments, it's not just the container images that require preparation. Package managers like pip (for Python) and other utilities commonly attempt to pull dependencies from public internet repositories. These must be redirected to internal mirrors or handled via offline bundles. If left unaddressed, certain operations within components like Jupyter notebooks, Watson Studio, or pipelines may fail. License validation and monitoring do not inherently require internet access, and data movement between nodes is part of normal cluster function---not something to be blocked.
What are two considerations when choosing the type of storage for Cloud Pak for Data?
Answer : C, D
When selecting storage for Cloud Pak for Data, two critical considerations are:
Ensuring the storage supports the specific services being deployed. Not all services are compatible with every storage type (e.g., some services require block storage, others may support NFS).
The storage must provide sufficient I/O performance to meet the operational demands of the workloads.
Transmission speeds and throughput metrics are useful but not directly required as standalone criteria. Additionally, NFS is not universally supported by all services; some services specifically require RWO (ReadWriteOnce) or RWX (ReadWriteMany) access modes.
Which statement is true about governing data lakes in IBM Knowledge Catalog?
Answer : B
Within IBM Knowledge Catalog as part of IBM Cloud Pak for Data, governing data lakes is enabled via integration with Data Virtualization. This approach supports automated data discovery, cataloging, tagging, and virtualization, allowing users to access enterprise data virtually---without physical movement. Policies and governance metadata are applied automatically to virtualized assets, enabling secure and efficient data consumption. Manual processes are not required for discovery, and data is masked selectively based on policies---not completely masked without user intervention. Thus automation and virtualization are central, making statement B correct.
