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Exam AWS Certified Data Engineer - Associate DEA-C01 All Questions

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Exam AWS Certified Data Engineer - Associate DEA-C01 topic 1 question 3 discussion

A media company wants to improve a system that recommends media content to customer based on user behavior and preferences. To improve the recommendation system, the company needs to incorporate insights from third-party datasets into the company's existing analytics platform.
The company wants to minimize the effort and time required to incorporate third-party datasets.
Which solution will meet these requirements with the LEAST operational overhead?

  • A. Use API calls to access and integrate third-party datasets from AWS Data Exchange.
  • B. Use API calls to access and integrate third-party datasets from AWS DataSync.
  • C. Use Amazon Kinesis Data Streams to access and integrate third-party datasets from AWS CodeCommit repositories.
  • D. Use Amazon Kinesis Data Streams to access and integrate third-party datasets from Amazon Elastic Container Registry (Amazon ECR).
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Suggested Answer: A 🗳️

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KelvinPun
Highly Voted 7 months, 2 weeks ago
Selected Answer: A
AWS DataSync is primarily used for data transfer services designed to simplify, automate, and accelerate moving data between on-premises storage systems and AWS storage services, as well as between different AWS storage services. Its primary role is not for accessing third-party datasets but for efficiently transferring large volumes of data. In contrast, AWS Data Exchange is designed specifically for discovering and subscribing to third-party data in the cloud, providing direct API access to these datasets, which aligns perfectly with the company's need to integrate this data into their recommendation systems with minimal overhead.
upvoted 13 times
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ttpro1995
Most Recent 4 months, 1 week ago
Selected Answer: A
Yeah, AWS want people to buy data from their marketplace. So, ... you know.
upvoted 3 times
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Shubham1989
7 months, 1 week ago
Should be AWS Data Exchange.
upvoted 1 times
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lunachi4
9 months, 3 weeks ago
Selected Answer: A
I will go with A. Kinesis Data Stram is more operational overhead.
upvoted 1 times
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Manohar24
9 months, 4 weeks ago
Selected Answer: A
A is correct
upvoted 1 times
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sudohogan
11 months ago
A is correct, DataSync doesn't really rely on API calls.
upvoted 2 times
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nanaw770
11 months ago
Selected Answer: A
A is correct answer.
upvoted 1 times
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0060594
11 months, 2 weeks ago
Selected Answer: A
AWS DataExchange
upvoted 1 times
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k350Secops
12 months ago
Selected Answer: A
options B, C, and D involve using Amazon Kinesis Data Streams or other services that may not be directly suited for integrating third-party datasets from external sources like AWS Data Exchange. These options might require additional configurations, data processing steps, or infrastructure management, resulting in higher operational overhead compared to directly leveraging AWS Data Exchange's capabilities through API calls (Option A).
upvoted 1 times
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hsnin
1 year, 1 month ago
Selected Answer: A
AWS Data Exchange is a service that makes it easy to share and manage data permissions from other organizations
upvoted 4 times
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kj07
1 year, 1 month ago
I will go with A.
upvoted 1 times
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Josa2
1 year, 1 month ago
Selected Answer: B
There is no info or guarantee this third-party dataset is available in AWS to be part of a data-share, hence the more assertive answer is B
upvoted 2 times
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GiorgioGss
1 year, 1 month ago
Selected Answer: A
A for me. "You can also discover and subscribe to new third-party data sets available through AWS Data Exchange" https://docs.aws.amazon.com/data-exchange/latest/userguide/what-is.html
upvoted 3 times
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ceramem
1 year, 2 months ago
A Data exchange is primarily designed for this purpose.
upvoted 2 times
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TonyStark0122
1 year, 3 months ago
A Data exchange is primarily designed for this purpose.
upvoted 3 times
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lalitjhawar
1 year, 3 months ago
A Data Exchange is the AWS official third-party datasets repository: https://aws.amazon.com/data-exchange
upvoted 3 times
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Community vote distribution
A (35%)
C (25%)
B (20%)
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