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Amazon Exam Amazon-DEA-C01 Topic 4 Question 1 Discussion

Actual exam question for Amazon's Amazon-DEA-C01 exam
Question #: 1
Topic #: 4
[All Amazon-DEA-C01 Questions]

A data engineer needs to use Amazon Neptune to develop graph applications.

Which programming languages should the engineer use to develop the graph applications? (Select TWO.)

Show Suggested Answer Hide Answer
Suggested Answer: A, D

Amazon Neptune supports graph applications using Gremlin and SPARQL as query languages. Neptune is a fully managed graph database service that supports both property graph and RDF graph models.

Option A: Gremlin Gremlin is a query language for property graph databases, which is supported by Amazon Neptune. It allows the traversal and manipulation of graph data in the property graph model.

Option D: SPARQL SPARQL is a query language for querying RDF graph data in Neptune. It is used to query, manipulate, and retrieve information stored in RDF format.

Other options:

SQL (Option B) and ANSI SQL (Option C) are traditional relational database query languages and are not used for graph databases.

Spark SQL (Option E) is related to Apache Spark for big data processing, not for querying graph databases.


Amazon Neptune Documentation

Gremlin Documentation

SPARQL Documentation

by Lauran at Oct 19, 2024, 12:03 AM

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Janey
2 months ago
As a data engineer, I'd have to say A (Gremlin) and D (SPARQL) are the correct choices. Anything else would be like trying to slam a square peg into a round hole.
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Derrick
15 days ago
Gremlin and SPARQL are specifically designed for working with graph databases like Amazon Neptune.
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Kenneth
16 days ago
Using Spark SQL might not be the best choice for developing graph applications.
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Cherelle
25 days ago
SQL and ANSI SQL are not really suited for graph applications.
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Amos
29 days ago
I agree, Gremlin and SPARQL are the way to go for developing graph applications.
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Virgina
2 months ago
A (Gremlin) and D (SPARQL) are the way to go here. Trying to use SQL for a graph database would be like trying to herd cats - it's just not going to work.
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Glory
2 months ago
I'm going with A (Gremlin) and D (SPARQL). It's like trying to use a hammer to screw in a lightbulb if you try to use SQL-based languages for a graph database.
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Isidra
24 days ago
It's important to use the right tools for the job when working with graph applications.
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Kati
29 days ago
Gremlin and SPARQL are specifically designed for working with graph databases like Amazon Neptune.
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Terrilyn
1 months ago
Using SQL for a graph database would definitely be like using a hammer to screw in a lightbulb.
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Michell
1 months ago
I agree, A (Gremlin) and D (SPARQL) are the best choices for developing graph applications.
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Della
2 months ago
Definitely A (Gremlin) and D (SPARQL). Those are the standard query languages for graph databases like Amazon Neptune. Anything else would be like trying to use a fork to eat soup.
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Brett
1 months ago
Spark SQL is more suitable for processing large-scale data in Apache Spark, not for graph applications.
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Leonida
1 months ago
Using SQL or ANSI SQL wouldn't be as effective for graph databases.
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Ranee
1 months ago
I agree, Gremlin and SPARQL are essential for developing graph applications on Amazon Neptune.
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Jenelle
2 months ago
I agree with Joni. Gremlin and SPARQL are specifically designed for graph applications.
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Tanja
2 months ago
I think A (Gremlin) and D (SPARQL) are the correct choices for developing graph applications on Amazon Neptune. Gremlin is a graph traversal language specifically designed for working with graph databases.
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Dexter
1 months ago
Spark SQL might be useful for other types of applications.
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Pamela
1 months ago
I'm not sure about SQL and ANSI SQL for graph applications.
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Dawne
2 months ago
I think SPARQL is also important for developing graph applications.
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Claribel
2 months ago
I agree, Gremlin is great for working with graph databases.
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Joni
2 months ago
I think the engineer should use Gremlin and SPARQL.
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