Knowledge Mining Workloads

The video provides a high-level understanding of knowledge mining, emphasizing its role in extracting valuable insights from unstructured data. It outlines three main steps: ingesting data from various sources, enriching it using cognitive services, and exploring the indexed data. The video also highlights the use of AI services to uncover hidden relationships and insights, and it stresses the importance of knowledge mining in both structured and unstructured data contexts.

What percentage of organizational data is typically unstructured?

• 70%

• 80%

• 60%

• 50%

Which of the following is NOT a step in the knowledge mining process?

• Enrich

• Explore

• Ingest

• Analyze

What types of data can be ingested in the knowledge mining process?

• Only images

• Only structured data

• Only unstructured data

• Both structured and unstructured data

Which Azure service is mentioned as a source for pulling data in the knowledge mining process?

• Azure Blob Storage

• Azure Machine Learning

• Azure DevOps

• Azure Kubernetes Service

What is the primary goal of using AI services in knowledge mining?

• To delete unnecessary data

• To create new data

• To extract meaning and relationships from data

• To store data