Search Header Logo

2.1 Data Lifecycle Management and Analytics Pipeline

Authored by Mr Masimba

Information Technology (IT)

12th Grade

Used 1+ times

2.1 Data Lifecycle Management and Analytics Pipeline
AI

AI Actions

Add similar questions

Adjust reading levels

Convert to real-world scenario

Translate activity

More...

    Content View

    Student View

15 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which phase of data lifecycle management focuses on moving infrequently used data to a separate location to free up live system resources?

Destruction phase for secure disposal

Creation phase for capturing initial entries

Storage phase for primary data placement

Archival phase for long-term retention

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A company processes sales data, saves transformed results, performs statistical analysis, and then creates charts for managers. Identify the correct sequence of stages in the data analytics pipeline for this scenario.

Analysis → Process → Storage → Capture → Visualisation

Process → Capture → Analysis → Storage → Visualisation

Capture → Process → Storage → Analysis → Visualisation

Capture → Storage → Analysis → Process → Visualisation

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which statement best defines data accuracy in a business system?

Being close to true real‑world values

Arriving quickly to the processing unit

Containing rich metadata and tags

Being stored in multiple secure locations

4.

OPEN ENDED QUESTION

3 mins • 1 pt

A delivery robot’s GPS provides only an approximate location within 100 metres. Explain one impact this could have and why higher data quality is needed.

Evaluate responses using AI:

OFF

5.

FILL IN THE BLANKS QUESTION

30 sec • 1 pt

Fit for purpose data means it is

(a)  

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which scenario best illustrates data redundancy for assurance?

Using faster sensors for updates

Keeping copies in different locations

Allowing approximate values for speed

Deleting old entries to save space

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which statement best distinguishes validation from verification in data handling?

Validation checks format and ranges at data entry

Validation compares to a trusted source after collection

Validation removes duplicates during data cleaning

Validation confirms accuracy by contacting an email owner

Access all questions and much more by creating a free account

Create resources

Host any resource

Get auto-graded reports

Google

Continue with Google

Email

Continue with Email

Classlink

Continue with Classlink

Clever

Continue with Clever

or continue with

Microsoft

Microsoft

Apple

Apple

Others

Others

Already have an account?