VCE Data Analytics U4O2 Word Scramble: Why data security matters and types of threats and Data integrity and its consequences (Modules 1–25)
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Word scramble
Unscramble the letters and write each key term on the line.
1
USSIBSEN NNTTUIICOY
Keeping systems and data working so daily business can carry on. Security limits downtime so services keep running when a threat or failure occurs.
2
INMOIIATTG
Using strong security to cut the money lost (fines, recovery costs, lost customers, falling share price) and the damage to brand and public trust after a data incident.
3
TCEANIDACL RTTHAE
Harm to data caused by a mistake with no intent to cause damage, such as emailing the wrong person, deleting files by accident, misconfiguring sharing or losing a device.
4
BEERETLDAI ARTTEH
An intentional action by an attacker or malicious insider to steal, damage, alter or block access to data, usually for profit or revenge.
5
ANESSE-BDEVT EHTTAR
An event outside anyone's control, such as fire, flood, storm or power failure, that damages data or systems or blocks access to them.
6
ITCAYHITNTUE
Data is authentic when it genuinely comes from the source it claims and has not been forged or spoofed. Verifying its origin shows it can be trusted.
7
SRNEESRCTOC
Data is correct when it is in the right form and follows set rules, such as the right data type, format, valid values and calculation. It is not the same as accuracy.
8
SSEEOBLANENASR
Data is reasonable when its value is sensible and believable in its context, so impossible values or odd outliers (like an age of 250) are flagged by ______ checks.
9
MTESELSNII
Data is timely when it is up to date and available when needed. Out-of-date records or delayed updates can lead to poor time-critical decisions.
Answer Key
VCE Data Analytics U4O2 · Modules 1–25
1USSIBSEN NNTTUIICOY → business continuity — Keeping systems and data working so daily business can carry on. Security limits downtime so services keep running when a threat or failure occurs.
2INMOIIATTG → Mitigation — Using strong security to cut the money lost (fines, recovery costs, lost customers, falling share price) and the damage to brand and public trust after a data incident.
3TCEANIDACL RTTHAE → accidental threat — Harm to data caused by a mistake with no intent to cause damage, such as emailing the wrong person, deleting files by accident, misconfiguring sharing or losing a device.
4BEERETLDAI ARTTEH → deliberate threat — An intentional action by an attacker or malicious insider to steal, damage, alter or block access to data, usually for profit or revenge.
5ANESSE-BDEVT EHTTAR → events-based threat — An event outside anyone's control, such as fire, flood, storm or power failure, that damages data or systems or blocks access to them.
6ITCAYHITNTUE → Authenticity — Data is authentic when it genuinely comes from the source it claims and has not been forged or spoofed. Verifying its origin shows it can be trusted.
7SRNEESRCTOC → Correctness — Data is correct when it is in the right form and follows set rules, such as the right data type, format, valid values and calculation. It is not the same as accuracy.
8SSEEOBLANENASR → reasonableness — Data is reasonable when its value is sensible and believable in its context, so impossible values or odd outliers (like an age of 250) are flagged by reasonableness checks.
9MTESELSNII → timeliness — Data is timely when it is up to date and available when needed. Out-of-date records or delayed updates can lead to poor time-critical decisions.