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IBM Cloud Pak for Data v4.x Solution Architecture Sample Questions (Q16-Q21):

NEW QUESTION # 16
With limited data science training and staff, which Cloud Pak for Data feature provides the most expedited path to developing data science models?

  • A. Watson Machine Learning with AutoAl
  • B. Database Monitoring
  • C. Data Governance
  • D. Data Lineage

Answer: C


NEW QUESTION # 17
What does it mean when a project in the Data Quality Dashboard shows a low quality percentage of 50%?

  • A. The data assets have failed data quality analysis along half of the quality dimensions.
  • B. Half of the data assets contained in the project have fallen below the configured threshold during quality analysis.
  • C. 50% of the data contained in the examined assets is bad.
  • D. Only 50% of the data in each asset has been reviewed for data quality.

Answer: B


NEW QUESTION # 18
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?

  • A. The overhead of the bedrock components and OpenShift infrastructure services.
  • B. The cloud platform provider on which the cluster is running.
  • C. The shared components, services, and workloads.
  • D. Only the services that are planned to run, the nature of the workloads are not relevant.

Answer: A


NEW QUESTION # 19
Which does Cloud Pak for Data provide to display key performance, usage, and other system statistics?

  • A. Interface to SDK custom code
  • B. Custom templates for Cognos reports that report log data from each pod
  • C. CLI scripts created during installation
  • D. Custom Cards API

Answer: A


NEW QUESTION # 20
Which two types of custom workflows are supported by Watson Knowledge Catalog?

  • A. Code Review workflows
  • B. Governance Artifact workflows
  • C. Request workflows
  • D. New Employee workflows
  • E. Security workflows

Answer: B,E


NEW QUESTION # 21
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