Analytics y1 Data Lifecycle Mastery: DLM Essentials

Yes or No

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Assess your DLM knowledge with true/false statements.

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Muhammad Asif

United Kingdom

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Analytics y1 Data Lifecycle Mastery: DLM Essentials


Analytics y1 Data Lifecycle Mastery: DLM EssentialsOnline version Assess your DLM knowledge with true/false statements. by Muhammad Asif 1 Data Lifecycle Management is a policy-driven framework governing data from inception to final disposition. Yes No 2 DLM aims to ensure data security, integrity, and availability throughout its lifespan. Yes No 3 DLM addresses data in various states, including at rest, in transit, and in use. Yes No 4 A primary goal of DLM is to eliminate the need for any data backups. Yes No 5 DLM applies exclusively to structured data stored in relational databases. Yes No 6 DLM focuses mainly on hardware life cycles rather than data policies and retention. Yes No 7 Automation and monitoring help enforce DLM policies across data activities. Yes No 8 DLM guarantees instant data recovery without any performance or cost trade-offs. Yes No 9 Classification and retention policies are core components of a DLM strategy. Yes No 10 The data lifecycle ends once data is created, with no further actions or reviews. Yes No 11 Confidentiality in DLM uses encryption at rest and in transit. Yes No 12 Data classification helps determine appropriate confidentiality measures. Yes No 13 Data integrity uses checksums and hash functions to detect corruption. Yes No 14 The CIA triad is Confidentiality, Integrity, and Availability. Yes No 15 Integrity relies solely on manual record-keeping without automation. Yes No 16 RAID arrays do not contribute to availability. Yes No 17 Encryption keys are unnecessary if the data is considered public. Yes No 18 Immutable audit trails can be deleted after compliance reviews. Yes No 19 An immutable audit trail is crucial for forensic analysis and compliance. Yes No 20 Data classification is optional for applying confidentiality measures. Yes No 21 In the Creation & Collection phase, data ingestion pipelines should use schema validation to reject malformed records. Yes No 22 Destruction includes data sanitization and, for physical media, certified destruction like shredding or degaussing. Yes No 23 The DLM framework has five phases: Creation & Collection, Storage, Usage, Archival, and Destruction. Yes No 24 RBAC is used in the Usage phase to control access based on role. Yes No 25 Storage uses data tiering to place hot data on high-performance storage and cold data on archival storage. Yes No 26 The Usage phase bypasses RBAC and allows unrestricted access to all datasets. Yes No 27 Destruction procedures may delete data without an audit log or verification. Yes No 28 In the Archival phase, data must always be kept on magnetic tape with no digital storage options. Yes No 29 Storage policies ignore data retention and never move data to a lower tier. Yes No 30 The Creation & Collection phase requires no data quality checks or validation. Yes No

Analytics y1 Data Lifecycle Mastery: DLM Essentials

Yes or No

About this activity

Created by

Download the paper version to play

Top Games

Yes or No

Grammys for best song/record

Yes or No

Foot and Ankle Anatomy Quiz

Yes or No

Adjective Checker

Yes or No

Is it created with Artificial Intelligence? - Complete game

Yes or No

Is it true?

Analytics y1 Data Lifecycle Mastery: DLM EssentialsOnline version

by Muhammad Asif

Data Lifecycle Management is a policy-driven framework governing data from inception to final disposition.

DLM aims to ensure data security, integrity, and availability throughout its lifespan.

DLM addresses data in various states, including at rest, in transit, and in use.

A primary goal of DLM is to eliminate the need for any data backups.

DLM applies exclusively to structured data stored in relational databases.

DLM focuses mainly on hardware life cycles rather than data policies and retention.

Automation and monitoring help enforce DLM policies across data activities.

DLM guarantees instant data recovery without any performance or cost trade-offs.

Classification and retention policies are core components of a DLM strategy.

The data lifecycle ends once data is created, with no further actions or reviews.

Confidentiality in DLM uses encryption at rest and in transit.

Data classification helps determine appropriate confidentiality measures.

Data integrity uses checksums and hash functions to detect corruption.

The CIA triad is Confidentiality, Integrity, and Availability.

Integrity relies solely on manual record-keeping without automation.

RAID arrays do not contribute to availability.

Encryption keys are unnecessary if the data is considered public.

Immutable audit trails can be deleted after compliance reviews.

An immutable audit trail is crucial for forensic analysis and compliance.

Data classification is optional for applying confidentiality measures.

In the Creation & Collection phase, data ingestion pipelines should use schema validation to reject malformed records.

Destruction includes data sanitization and, for physical media, certified destruction like shredding or degaussing.

The DLM framework has five phases: Creation & Collection, Storage, Usage, Archival, and Destruction.

RBAC is used in the Usage phase to control access based on role.

Storage uses data tiering to place hot data on high-performance storage and cold data on archival storage.

The Usage phase bypasses RBAC and allows unrestricted access to all datasets.

Destruction procedures may delete data without an audit log or verification.

In the Archival phase, data must always be kept on magnetic tape with no digital storage options.

Storage policies ignore data retention and never move data to a lower tier.

The Creation & Collection phase requires no data quality checks or validation.