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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.)

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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

Contribute your Thoughts:

Della
1 days 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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Jenelle
10 days ago
I agree with Joni. Gremlin and SPARQL are specifically designed for graph applications.
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Tanja
12 days 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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Joni
12 days ago
I think the engineer should use Gremlin and SPARQL.
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