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?

Aorg.apache.spark.sql.jdbc

Bautoloader

CDELTA

Dsqlite

Eorg.apache.spark.sql.sqlite

Show Suggested 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

by Virgie at Nov 20, 2025, 05:24 AM

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Paola

1 day ago

Not sure about A). What about E) org.apache.spark.sql.sqlite?

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Earlean

6 days ago

Not sure if A is the best choice... could be wrong.

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Glen

12 days ago

I agree with A, it's the right way to connect!

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Charlie

17 days ago

Wait, is it really that straightforward?

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German

22 days ago

Definitely A) org.apache.spark.sql.jdbc!

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Jodi

27 days ago

I'd go with D) sqlite. Gotta love that good old SQLite database!

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Meaghan

2 months ago

D) sqlite makes the most sense to me. Can't go wrong with the classics!

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Lawrence

2 months ago

B) autoloader sounds like a fun option, but I doubt that's the right answer.

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Vincenza

2 months ago

I'm pretty sure it's D) sqlite. That's the way to go!

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Junita

2 months ago

E) org.apache.spark.sql.sqlite

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Tanja

2 months ago

D) sqlite

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Lashaun

2 months ago

I vaguely recall that DELTA is more about storage formats, so I don't think C) is the right choice for this question.

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Yaeko

3 months ago

I’m leaning towards E) org.apache.spark.sql.sqlite because it specifically mentions SQLite, but I’m not confident about the syntax.

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Amie

3 months 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.

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Gracie

3 months 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.

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Eugene

3 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.

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Mitsue

3 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.

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Blossom

3 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.

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Remedios

4 months ago

I agree, A) makes sense for JDBC connections.

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Emilio

4 months ago

I think it's A) org.apache.spark.sql.jdbc. Seems like the right choice.

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Ernie

4 months ago

I think it's E) org.apache.spark.sql.sqlite, not A.

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Lavina

5 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.

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Dick

5 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.

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Gail

4 months ago

I believe the right choice is E) org.apache.spark.sql.sqlite.

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Derrick

4 months ago

I thought about A) org.apache.spark.sql.jdbc too.

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