#1
What is the first stage in the Data Life Cycle Management process?
Data creation
ExplanationInitiating data existence.
#2
Which of the following is NOT a key aspect of data governance?
Data storage
ExplanationExclusion of data housing from governance considerations.
#3
What does ETL stand for in the context of Data Life Cycle Management?
Extract, Transform, Load
ExplanationData processing phases in the management cycle.
#4
Which of the following is a benefit of data classification?
Improved data governance
ExplanationEnhancing control and oversight through systematic categorization.
#5
What is the role of metadata in Data Life Cycle Management?
To provide context and information about data
ExplanationOffering contextual details for effective data understanding.
#6
Which of the following is NOT a data disposal method?
Data masking
ExplanationExclusion of data masking as a disposal technique.
#7
What is the purpose of data masking?
To protect sensitive data by replacing it with similar, but fictitious data
ExplanationShielding sensitive information through substitution.
#8
Which of the following is NOT a stage in the Data Life Cycle Management process?
Data transmission
ExplanationExclusion of data transmission as a management stage.
#9
What is the purpose of data governance?
To manage and control data assets
ExplanationOverseeing and controlling organizational data assets.
#10
Which of the following is NOT a common challenge in Data Life Cycle Management?
Data encryption
ExplanationExclusion of data encryption as a common challenge.
#11
What is the primary goal of data archival?
To free up space on production systems
ExplanationCreating storage efficiency by relocating data.
#12
Which of the following is NOT a commonly used data storage technology?
Hierarchical databases
ExplanationExclusion of hierarchical databases as a prevalent storage technology.
#13
What is data obfuscation?
A technique used to obscure sensitive data
ExplanationConcealing sensitive information through manipulation.
#14
What is the primary purpose of a data retention policy?
To manage the lifecycle of data
ExplanationGuiding data existence from creation to disposal.
#15
What is the purpose of data deduplication?
To reduce data redundancy
ExplanationEliminating duplicate instances for storage efficiency.
#16
What is the significance of data versioning?
To track changes over time
ExplanationMonitoring and recording alterations in data.
#17
What is the purpose of a data dictionary?
To describe the structure and content of data
ExplanationProviding details on data structure and contents.
#18
What is the primary function of a data lake?
To store vast amounts of raw data in its native format
ExplanationStoring massive raw data in its original form.
#19
What does the acronym ACID stand for in the context of data management?
Atomicity, Consistency, Isolation, Durability
ExplanationPrinciples governing reliable data processing and storage.
#20
What is the role of a data steward?
To ensure data compliance with regulations
ExplanationEnsuring adherence to data-related regulations.
#21
What is a data warehouse?
A storage facility for large amounts of structured, unstructured, and semi-structured data
ExplanationStructured data repository for diverse data types.
#22
What is the concept of 'data lineage'?
The history and transformation of data from its origin to its current state
ExplanationTracing the evolution and changes in data.
#23
Which of the following is a characteristic of data archival?
Low-cost storage
ExplanationUtilizing cost-effective storage solutions for archived data.
#24
Which of the following is a key consideration in data retention policies?
Data freshness
ExplanationConsidering the timeliness of data in retention decisions.
#25
What is the primary goal of data archiving?
To maintain data for historical purposes
ExplanationPreserving data for historical significance.