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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
21 days 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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Virgina
23 days 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
25 days 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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Michell
5 days ago
I agree, A (Gremlin) and D (SPARQL) are the best choices for developing graph applications.
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Della
1 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
2 days ago
Spark SQL is more suitable for processing large-scale data in Apache Spark, not for graph applications.
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Leonida
3 days ago
Using SQL or ANSI SQL wouldn't be as effective for graph databases.
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Ranee
6 days ago
I agree, Gremlin and SPARQL are essential for developing graph applications on Amazon Neptune.
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Jenelle
1 months ago
I agree with Joni. Gremlin and SPARQL are specifically designed for graph applications.
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Tanja
1 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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Pamela
6 days ago
I'm not sure about SQL and ANSI SQL for graph applications.
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Dawne
20 days ago
I think SPARQL is also important for developing graph applications.
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Claribel
25 days ago
I agree, Gremlin is great for working with graph databases.
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Joni
1 months ago
I think the engineer should use Gremlin and SPARQL.
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