Practice Quiz

Which of the following is NOT the method to reduce data complexity?

• Map Reduce

• Data Shrinking

• Metadata

• Categorization

Following are the benefits of Metadata EXCEPT:

• Help to understand the structure, nature and context of the data.

• Help to make data looks presentable

• Facilitates easy search and fast retrieval of data.

• Keep a check on the quality and reliability of data.

Which of the following type of data helps in providing controls on how the files can be used, who can use them, and for what purpose?

• Structural Metadata

• Business Metadata

• Process Metadata

• Administrative Metadata

Which of the following IS NOT Metadata Standards?

• Metadata.io

• RDF/RDFa

• Dublin Core

• Schema.org

Which of the following fits the description: "Inventory of data assets across all data sources in the organization"?

• Data Dictionary

• Metadata

• Data Warehouse

• Data Catalog

Which of the term best described the following?

"It comprises the actual hardware, software, apps, APIs, middleware, etc. that need for executing / supporting Big Data Management".

• Blueprint

• Infrastructure

• Architecture

• Framework

This type of analytic is ideal for processing data from sources that continuously generate small amounts of data.

• Operational Analytics

• Stream Analytics

• Real-time Analytics

• Batch Analytics

Which of the following type of Cloud Service Model best described the situation whereby the main computing power such as servers, storage, networking, and virtualization are provided by the Service Provider?

• Infrastructure-as-a-service

• Platform-as-a-service

• Private/On-Premise

• Software-as-a-service

Negative consequences of lax cybersecurity that companies tend to face include all of the following except:

• Damaged brands and reputations

• Financial penalties

• Criminal charges

• Customer backlash

The method by which companies analyze customer data or other types of information in an effort to identify patterns and discover relationships between different data elements is often referred to as:

• Data Analysis

• Data Slicing

• Data Digging

• Data Mining