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

Databricks Certified Data Engineer Associate Exam - Topic 5 Question 56 Discussion

Actual exam question for Databricks's Databricks Certified Data Engineer Associate exam
Question #: 56
Topic #: 5
[All Databricks Certified Data Engineer Associate Questions]

A data engineer needs to create a table in Databricks using data from their organization's existing SQLite database.

They run the following command:

Which of the following lines of code fills in the above blank to successfully complete the task?

Show Suggested Answer Hide Answer
Suggested Answer: D

: In the given command, a data engineer is trying to create a table in Databricks using data from an SQLite database. The correct option to fill in the blank is ''sqlite'' because it specifies the type of database being connected to in a JDBC connection string. TheUSINGclause should be followed by the format of the data, and since we are connecting to an SQLite database, ''sqlite'' would be appropriate here.Reference:

Create a table using JDBC

JDBC connection string

SQLite JDBC driver


Contribute your Thoughts:

0/2000 characters
Meaghan
9 hours ago
D) sqlite makes the most sense to me. Can't go wrong with the classics!
upvoted 0 times
...
Lawrence
6 days ago
B) autoloader sounds like a fun option, but I doubt that's the right answer.
upvoted 0 times
...
Vincenza
11 days ago
I'm pretty sure it's D) sqlite. That's the way to go!
upvoted 0 times
...
Junita
16 days ago
E) org.apache.spark.sql.sqlite
upvoted 0 times
...
Tanja
21 days ago
D) sqlite
upvoted 0 times
...
Lashaun
26 days ago
I vaguely recall that DELTA is more about storage formats, so I don't think C) is the right choice for this question.
upvoted 0 times
...
Yaeko
1 month ago
I’m leaning towards E) org.apache.spark.sql.sqlite because it specifically mentions SQLite, but I’m not confident about the syntax.
upvoted 0 times
...
Amie
1 month ago
I remember practicing a similar question where we had to connect to a database, and I feel like sqlite could be relevant here, but it seems too simple.
upvoted 0 times
...
Gracie
1 month ago
I think the answer might be A) org.apache.spark.sql.jdbc since it relates to JDBC connections, but I'm not entirely sure.
upvoted 0 times
...
Eugene
2 months ago
I'm not entirely sure about this one. The options seem a bit mixed, and I'm not familiar with all of the Spark SQL libraries. I'll need to review my notes and maybe look up some examples to figure out the best approach.
upvoted 0 times
...
Mitsue
2 months ago
I've got this! The answer is option E, "org.apache.spark.sql.sqlite". That's the Spark SQL library for working with SQLite databases, so that's what I'll use to fill in the blank and complete the task.
upvoted 0 times
...
Blossom
2 months ago
Okay, let's see. The question mentions a SQLite database, so I'm guessing the answer has something to do with that. Maybe it's option D or E? I'll have to double-check the Spark SQL documentation to be sure.
upvoted 0 times
...
Remedios
2 months ago
I agree, A) makes sense for JDBC connections.
upvoted 0 times
...
Emilio
2 months ago
I think it's A) org.apache.spark.sql.jdbc. Seems like the right choice.
upvoted 0 times
...
Ernie
3 months ago
I think it's E) org.apache.spark.sql.sqlite, not A.
upvoted 0 times
...
Lavina
3 months ago
Hmm, I'm a bit confused. The code snippet shows a blank that needs to be filled in, but I'm not sure which of the options is the correct one. I'll need to think this through carefully.
upvoted 0 times
...
Dick
3 months ago
I think I know how to approach this. The question is asking about creating a table in Databricks using data from a SQLite database, so I'll need to use the appropriate Spark SQL library to connect to the SQLite database.
upvoted 1 times
Gail
2 months ago
I believe the right choice is E) org.apache.spark.sql.sqlite.
upvoted 0 times
...
Derrick
3 months ago
I thought about A) org.apache.spark.sql.jdbc too.
upvoted 1 times
...
...

Save Cancel