CBDA Data Management & Lifecycle 3

Question 1

What does data provenance refer to in the context of data management?

Accepted Answer

The documented history of data's origin, custody, and any changes made to it

Answer

The geographic location where data is physically stored

Answer

The method used to encrypt data during transmission

Answer

The process of converting data from one format to another

Question 2

A data governance committee has flagged a dataset as 'sensitive PII'. What should the data lifecycle management plan prioritize for this dataset?

Accepted Answer

Strict access controls, data minimization, and defined disposal procedures compliant with privacy regulations

Answer

Longer retention periods to support future analytics

Answer

Immediate migration to a public cloud storage bucket

Answer

Consolidation with all other organizational datasets for efficiency

Question 3

Which of the following best describes the difference between a data warehouse and a data lake?

Accepted Answer

A data warehouse stores structured, processed data optimized for querying, while a data lake stores raw data in its native format

Answer

A data warehouse stores only real-time streaming data while a data lake stores batch data

Answer

A data warehouse is cloud-based while a data lake is always on-premises

Answer

A data warehouse uses NoSQL storage while a data lake uses relational storage

Question 4

What is the purpose of a data disposal policy?

Accepted Answer

To establish rules for securely and permanently removing data that has reached the end of its retention period

Answer

To determine which analytics tools should be decommissioned

Answer

To define backup frequency for critical production databases

Answer

To assign ownership of datasets to business units

Question 5

In data lifecycle management, which activity ensures that data quality standards are maintained as data moves through its stages?

Accepted Answer

Data profiling and quality monitoring

Answer

Data compression

Answer

Data partitioning

Answer

Data serialization

Question 6

Which of the following is a key principle of data minimization?

Accepted Answer

Collecting only the data that is necessary for the specified purpose and no more

Answer

Collecting and storing as much data as possible to support future analytics needs

Answer

Migrating all historical data to the cheapest available storage tier

Answer

Combining multiple datasets to create a comprehensive unified repository

Question 7

A data analyst notices that a critical business report is using data from three different systems that frequently show conflicting values. Which data management solution would most directly address this problem?

Accepted Answer

Implementing a master data management (MDM) solution to create a single authoritative version of shared data entities

Answer

Increasing the frequency of database backups

Answer

Switching from a relational to a NoSQL database

Answer

Adding more indexes to improve query performance