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Databricks Certified Data Engineer Associate Exam - Topic 3 Question 40 Discussion

A data engineer needs to create a table in Databricks using data from their organization's existing SQLite database. They run the following command:CREATE TABLE jdbc_customer360USINGOPTIONS (url "jdbc:sqlite:/customers.db", dbtable "customer360")Which line of code fills in the above blank to successfully complete the task?
B) org.apache.spark.sql.jdbc
A) autoloader
C) sqlite
D) org.apache.spark.sql.sqlite

Databricks Certified Data Engineer Associate Exam - Topic 3 Question 40 Discussion

Actual exam question for Databricks's Databricks Certified Data Engineer Associate exam
Question #: 40
Topic #: 3
[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:

CREATE TABLE jdbc_customer360

USING

OPTIONS (

url "jdbc:sqlite:/customers.db", dbtable "customer360"

)

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

Show Suggested Answer Hide Answer
Suggested Answer: B

To create a table in Databricks using data from an SQLite database, the correct syntax involves specifying the format of the data source. The format in the case of using JDBC (Java Database Connectivity) with SQLite is specified by the org.apache.spark.sql.jdbc format. This format allows Spark to interface with various relational databases through JDBC. Here is how the command should be structured:

CREATE TABLE jdbc_customer360

USING org.apache.spark.sql.jdbc

OPTIONS (

url 'jdbc:sqlite:/customers.db',

dbtable 'customer360'

)

The USING org.apache.spark.sql.jdbc line specifies that the JDBC data source is being used, enabling Spark to interact with the SQLite database via JDBC.

Reference: Databricks documentation on JDBC: Connecting to SQL Databases using JDBC


by Beatriz at Oct 23, 2024, 12:21 PM

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Lennie
7 months ago
A doesn't make sense for this context at all.
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Edna
8 months ago
Wait, is sqlite even a valid option here?
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Bette
8 months ago
I thought it might be D, but now I'm not so sure.
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Arminda
8 months ago
Totally agree, B is the right choice!
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Veta
8 months ago
It's definitely B, org.apache.spark.sql.jdbc!
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Ilene
9 months ago
D sounds familiar too, but I can't recall if we specifically covered that package for SQLite in our sessions.
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Leah
9 months ago
I feel like C could be a possibility since it mentions SQLite directly, but it doesn't seem like the typical format we used in class.
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Vilma
9 months ago
I remember practicing a similar question where we had to specify the JDBC driver, and I think it was org.apache.spark.sql.jdbc.
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India
9 months ago
I think the answer might be B, but I'm not entirely sure if that's the right package for SQLite.
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Paulina
9 months ago
This is a good test of our knowledge of Spark SQL and JDBC connections. I'm pretty confident that the "sqlite" option is the right answer here, as it's the specific package we need to use for a SQLite database.
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Jarod
9 months ago
Okay, I think I've got this. Based on the code snippet, we need to use the "org.apache.spark.sql.jdbc" package to create the JDBC connection to the SQLite database. The "sqlite" option should fill in the blank correctly.
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Talia
9 months ago
Hmm, I'm a bit unsure about this one. I know we need to use the JDBC connector to connect to the SQLite database, but I'm not sure which specific package or class we should use. I'll have to think this through carefully.
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Viva
9 months ago
This looks like a straightforward question about creating a table in Databricks using data from a SQLite database. I think the key is to identify the correct Spark SQL package to use for the SQLite connection.
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Cristal
2 years ago
I've heard of Databricks, but I thought it was a company that makes fireplace tools. Guess I've been living under a rock.
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Rebecka
2 years ago
D) org.apache.spark.sql.sqlite
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Clarence
2 years ago
C) sqlite
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Margurite
2 years ago
B) org.apache.spark.sql.jdbc
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Layla
2 years ago
A) autoloader
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Britt
2 years ago
Wait, I thought we were supposed to create a table using a Ouija board and some tarot cards. Where's the fun in SQL?
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Ressie
2 years ago
Hmm, I'm leaning towards A) autoloader. Isn't that the Spark function used to load data from various sources?
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Carin
2 years ago
I agree with you, A) autoloader doesn't seem to be the correct option for creating a table in Databricks.
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Jesse
2 years ago
I'm not sure, but D) org.apache.spark.sql.sqlite might be the right choice for this task.
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Brandee
2 years ago
No, I believe it's C) sqlite, since we are working with a SQLite database in this case.
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Isadora
2 years ago
I think it's actually B) org.apache.spark.sql.jdbc, that's the correct library for JDBC connections.
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Delila
2 years ago
Hold on, I think the answer is D) org.apache.spark.sql.sqlite. Isn't that the Spark package specifically for working with SQLite databases?
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Hyun
2 years ago
Got it. I'll remember that for next time. Thanks for the help!
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Malissa
2 years ago
Exactly. Using org.apache.spark.sql.jdbc will allow the data engineer to create a table in Databricks using data from the SQLite database.
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Malcolm
2 years ago
Oh, I see. Thanks for clarifying. So, the code should be using org.apache.spark.sql.jdbc to connect to the SQLite database.
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Una
2 years ago
No, the correct answer is B) org.apache.spark.sql.jdbc. That is the package needed to work with JDBC connections in Databricks.
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Dana
2 years ago
I agree with Vilma, using org.apache.spark.sql.jdbc makes sense for connecting to a SQLite database.
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Vernice
2 years ago
I'm pretty sure the answer is C) sqlite. That's the standard SQL dialect for SQLite databases, right?
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Charisse
2 years ago
The correct answer is B) org.apache.spark.sql.jdbc. This package is used to read data from a SQLite database using Spark.
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Viva
2 years ago
You're welcome!
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Makeda
2 years ago
Good to know, thanks for the information!
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Kristofer
2 years ago
Yes, that's correct. This package is used to read data from a SQLite database using Spark.
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Lashandra
2 years ago
I think the answer is B) org.apache.spark.sql.jdbc
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Vilma
2 years ago
I think the correct answer is B) org.apache.spark.sql.jdbc.
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