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Exam AWS Certified Solutions Architect - Associate SAA-C03 All Questions

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Exam AWS Certified Solutions Architect - Associate SAA-C03 topic 1 question 718 discussion

Exam question from Amazon's AWS Certified Solutions Architect - Associate SAA-C03
Question #: 718
Topic #: 1
[All AWS Certified Solutions Architect - Associate SAA-C03 Questions]

A company’s applications use Apache Hadoop and Apache Spark to process data on premises. The existing infrastructure is not scalable and is complex to manage.

A solutions architect must design a scalable solution that reduces operational complexity. The solution must keep the data processing on premises.

Which solution will meet these requirements?

  • A. Use AWS Site-to-Site VPN to access the on-premises Hadoop Distributed File System (HDFS) data and application. Use an Amazon EMR cluster to process the data.
  • B. Use AWS DataSync to connect to the on-premises Hadoop Distributed File System (HDFS) cluster. Create an Amazon EMR cluster to process the data.
  • C. Migrate the Apache Hadoop application and the Apache Spark application to Amazon EMR clusters on AWS Outposts. Use the EMR clusters to process the data.
  • D. Use an AWS Snowball device to migrate the data to an Amazon S3 bucket. Create an Amazon EMR cluster to process the data.
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Suggested Answer: C 🗳️
by Andy_09 at Feb. 5, 2024, 6:24 p.m.
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anikolov
Highly Voted 1 year, 1 month ago
Selected Answer: C
C cover requirement: The solution must keep the data processing on premises
upvoted 14 times
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Andy_09
Highly Voted 1 year, 1 month ago
I would go for option C, as data processing has to be done on premise.
upvoted 9 times
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Scheldon
Most Recent 9 months ago
Selected Answer: C
Answer C
upvoted 2 times
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sandordini
11 months, 1 week ago
Selected Answer: C
Only solution to keep the processing on-prem.
upvoted 2 times
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Hung23
12 months ago
Selected Answer: B
Create an Amazon EMR Cluster: With the data now available in Amazon S3, the company can create an Amazon EMR cluster for data processing. EMR provides scalable Hadoop and Spark clusters that can process data stored in S3, enabling the company to leverage cloud-based processing resources while still keeping the data processing on premises.
upvoted 3 times
example_
8 months, 2 weeks ago
Selected response : C
upvoted 2 times
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