New Year Sale 2026! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions

VMware 2V0-72.22 Exam - Topic 3 Question 49 Discussion

Actual exam question for VMware's 2V0-72.22 exam
Question #: 49
Topic #: 3
[All 2V0-72.22 Questions]

Which following statements are true about Spring Data? (Choose two.)

Show Suggested Answer Hide Answer

Contribute your Thoughts:

0/2000 characters
Lindsay
3 months ago
D sounds too limiting, I doubt Spring Data is only for relational databases.
upvoted 0 times
...
Staci
3 months ago
Wait, E can't be true, right? Spring Data works with MVC!
upvoted 0 times
...
Micheline
3 months ago
B seems off, JPA is more for relational databases, not NoSQL.
upvoted 0 times
...
Vicki
4 months ago
C is spot on, it really cuts down on boilerplate code.
upvoted 0 times
...
Dulce
4 months ago
A is definitely true, Spring Data supports multiple data stores!
upvoted 0 times
...
Sylvia
4 months ago
I feel like D is misleading because Spring Data is not limited to just JPA and relational databases. It supports NoSQL too, right?
upvoted 0 times
...
Barbra
4 months ago
C sounds right to me. I practiced a question about how Spring Data reduces boilerplate code, and it really does help with that.
upvoted 0 times
...
Norah
4 months ago
I'm not sure about B; I thought Spring Data uses its own repository interfaces rather than just applying JPA annotations.
upvoted 0 times
...
Edward
5 months ago
I remember that Spring Data supports various data storage types, so I think A is definitely true.
upvoted 0 times
...
Carol
5 months ago
The key thing to remember is that Spring Data simplifies data access, so C is definitely true. I'll go with that and A.
upvoted 0 times
...
Lorriane
5 months ago
I'm a little confused about the relationship between Spring Data and Spring MVC. I'll have to think more about E before deciding.
upvoted 0 times
...
Vanda
5 months ago
Hmm, I'm a bit unsure about B. I don't think Spring Data uses JPA annotations for non-relational databases like MongoDB and Redis.
upvoted 0 times
...
Vallie
5 months ago
I'm pretty confident about this one. I know Spring Data supports a variety of data stores, so A and C seem like the obvious choices.
upvoted 0 times
...
Kati
5 months ago
Ah, I remember learning that Spring Data is not just for relational databases, so D is definitely false. I'll go with A and C.
upvoted 0 times
...
Lezlie
5 months ago
This seems like a straightforward make or buy decision question. I'll need to think through the key factors that would lead a company to buy out rather than make something in-house.
upvoted 0 times
...
Essie
5 months ago
Okay, let's think this through step-by-step. The key is providing session protection for the core loopback IP addresses and keeping the LDP session up for an hour when the WAN link fails. I think I know the right configuration to implement.
upvoted 0 times
...
An
5 months ago
This question seems straightforward, but I want to make sure I understand the key differences between a placing and a rights issue before selecting an answer.
upvoted 0 times
...
Brittani
5 months ago
Okay, I remember learning about Cisco AnyConnect, DMVPN, Clientless SSLVPN, and GETVPN. I'll review the details of each one to determine the best match.
upvoted 0 times
...
Ernie
9 months ago
I heard Spring Data can even work with my grandma's recipe book. Talk about versatile!
upvoted 0 times
Frederick
8 months ago
C) Spring Data can greatly reduce the amount of ''boilerplate'' code typically needed for data access.
upvoted 0 times
...
Marti
8 months ago
A) Spring Data implementations exist for many data storage types, such as MongoDB, Neo4j, and Redis.
upvoted 0 times
...
...
Tula
9 months ago
Wait, option E? Spring Data and Spring MVC? That's like peanut butter and jelly, they go together perfectly!
upvoted 0 times
Jackie
9 months ago
Yes, they are a perfect match! Spring Data and Spring MVC work seamlessly together.
upvoted 0 times
...
Gladis
9 months ago
C) Spring Data can greatly reduce the amount of ''boilerplate'' code typically needed for data access.
upvoted 0 times
...
Micaela
9 months ago
A) Spring Data implementations exist for many data storage types, such as MongoDB, Neo4j, and Redis.
upvoted 0 times
...
...
Rutha
10 months ago
Option B is wrong, Spring Data doesn't use JPA annotations for non-relational databases. It has its own set of abstractions.
upvoted 0 times
Tandra
8 months ago
E) Spring Data cannot be used together with Spring MVC.
upvoted 0 times
...
Sarah
9 months ago
That's correct. Spring Data provides its own abstractions for non-relational databases.
upvoted 0 times
...
Freida
9 months ago
C) Spring Data can greatly reduce the amount of ''boilerplate'' code typically needed for data access.
upvoted 0 times
...
Shaniqua
10 months ago
A) Spring Data implementations exist for many data storage types, such as MongoDB, Neo4j, and Redis.
upvoted 0 times
...
...
Luis
10 months ago
Definitely agree with A and C. Spring Data has been a game-changer for me, it saves so much time on boilerplate code.
upvoted 0 times
Cristal
10 months ago
C) Spring Data can greatly reduce the amount of 'boilerplate' code typically needed for data access.
upvoted 0 times
...
Cristal
10 months ago
A) Spring Data implementations exist for many data storage types, such as MongoDB, Neo4j, and Redis.
upvoted 0 times
...
...
Sarah
10 months ago
I disagree with D. Spring Data is not limited to JPA, JDBC, and relational databases only.
upvoted 0 times
...
Lashawn
10 months ago
I think options A and C are the correct answers. Spring Data really does simplify data access across different types of data stores, not just relational databases.
upvoted 0 times
...
Nieves
11 months ago
I think B is also true. Spring Data applies JPA annotations to various data stores.
upvoted 0 times
...
Angella
11 months ago
A and C are true. Spring Data supports multiple data storage types and reduces boilerplate code.
upvoted 0 times
...

Save Cancel