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Microsoft DP-900 Exam - Topic 1 Question 121 Discussion

Posted by Stephaine on May 05, 2026 at 03:28 PM

Which statement is an example of Data Definition Language (DDL)?

Suggested Answer: D, D

https://www.geeksforgeeks.org/difference-between-ddl-and-dml-in-dbms/

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24 comments · newest first
NA
Nana 5 days ago
I hope everyone gets this one right!
LY
Lynelle 10 days ago
Right! CREATE is used to make tables.
ME
Melvin 15 days ago
MERGE is more about data manipulation, not definition.
SE
Serina 20 days ago
Exactly! DDL is about defining structures.
YE
Yen 25 days ago
SELECT and JOIN are not DDL, right?
LI
Ligia 1 month ago
I feel confident about this question.
NA
Nana 1 month ago
Yeah, D) CREATE is definitely DDL.
LY
Lynelle 1 month ago
I think the answer is D) CREATE.
BE
Becky 2 months ago
Yes! DDL is essential for database management.
KA
Kallie 2 months ago
I feel confident about this one. CREATE is clear.
CH
Charolette 2 months ago
Right! DDL focuses on database schema.
MA
Magdalene 2 months ago
SELECT and JOIN are not DDL. They’re more for querying.
MA
Margot 2 months ago
Definitely, CREATE is used to set up tables.
GL
Glen 2 months ago
Agreed! DDL is all about defining structures.
VI
Vincenza 3 months ago
I think D) CREATE is the answer.
VA
Valda 3 months ago
I thought MERGE was part of DDL too, interesting!
JU
Justine 3 months ago
SELECT and JOIN are not DDL, just saying.
MI
Micaela 3 months ago
Wait, are we sure? What about MERGE?
RO
Rodolfo 3 months ago
Totally agree, CREATE is the right choice!
LA
Latanya 3 months ago
D) CREATE is definitely DDL.
GA
Gail 4 months ago
I thought MERGE was part of DML, but now I'm confused about the definitions. Is CREATE definitely DDL?
AR
Arlette 5 months ago
I practiced a similar question last week, and I believe D) CREATE was the example they used for DDL.
AD
Adolph 5 months ago
I'm not entirely sure, but I remember DDL is about creating and modifying database schemas, so maybe it's D?
LE
Leota 6 months ago
I think D) CREATE is the right answer since it relates to defining database structures.
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