Knowledge Mining Workloads

The video provides a high-level understanding of knowledge mining, emphasizing its importance in extracting meaningful information from unstructured data, which constitutes 80% of organizational 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 exam perspective, focusing on the ability to extract insights from both structured and unstructured data using AI services.

What percentage of organizational data is estimated to be unstructured?

• 50%

• 60%

• 70%

• 80%

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

• Ingest

• Enrich

• Explore

• Analyze

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

• Azure Kubernetes Service

• Azure Machine Learning

• Azure Blob Storage

• Azure DevOps

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

• To visualize data

• To secure data

• To extract meaning and relationships from data

• To store data efficiently

From an exam perspective, what is the key takeaway about knowledge mining?

• It is used to delete unnecessary data

• It is used to create new data

• It is used to encrypt data

• It is used to extract insights from structured and unstructured data