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Exam AWS Certified Data Analytics - Specialty All Questions

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Exam AWS Certified Data Analytics - Specialty topic 1 question 144 discussion

A real estate company maintains data about all properties listed in a market. The company receives data about new property listings from vendors who upload the data daily as compressed files into Amazon S3. The company's leadership team wants to see the most up-to-date listings as soon as the data is uploaded to
Amazon S3. The data analytics team must automate and orchestrate the data processing workflow of the listings to feed a dashboard. The team also must provide the ability to perform one-time queries and analytical reporting in a scalable manner.
Which solution meets these requirements MOST cost-effectively?

  • A. Use Amazon EMR for processing incoming data. Use AWS Step Functions for workflow orchestration. Use Apache Hive for one-time queries and analytical reporting. Bulk ingest the data in Amazon OpenSearch Service (Amazon Elasticsearch Service). Use OpenSearch Dashboards (Kibana) on Amazon OpenSearch Service (Amazon Elasticsearch Service) for the dashboard.
  • B. Use Amazon EMR for processing incoming data. Use AWS Step Functions for workflow orchestration. Use Amazon Athena for one-time queries and analytical reporting. Use Amazon QuickSight for the dashboard.
  • C. Use AWS Glue for processing incoming data. Use AWS Step Functions for workflow orchestration. Use Amazon Redshift Spectrum for one-time queries and analytical reporting. Use OpenSearch Dashboards (Kibana) on Amazon OpenSearch Service (Amazon Elasticsearch Service) for the dashboard.
  • D. Use AWS Glue for processing incoming data. Use AWS Lambda and S3 Event Notifications for workflow orchestration. Use Amazon Athena for one-time queries and analytical reporting. Use Amazon QuickSight for the dashboard.
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Suggested Answer: D 🗳️

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fl0resi3nsis
Highly Voted 2 years, 12 months ago
C seems correct cost-effective rules out emr [A&B] scalable reporting suggests redshift spectrum instead of athena immediate access to updated dashboards suggests kibana instead of quicksight d may appear less expensive than c, but does not quite meet the criteria
upvoted 13 times
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rb39
Highly Voted 3 years ago
Selected Answer: D
S3 Event Notifications to react to S3 updates
upvoted 9 times
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zanhsieh
Most Recent 1 year, 8 months ago
Selected Answer: D
Vote D. AWS Step Function vs Lambda+S3 Events do not have much price difference. Although Redshift Spectrum charge very less money, to use Redshift Spectrum the customer needs to have an existed Redshift cluster (AWS did have serverless around $260; around $180 per month for dense compute), which definitely beat Athena for "one-time" query. Quicksight cost $18 per user per month whereas Opensearch charge $43 per month (serverless one even more expensive; any combination indexing+searching-n-query would give $172.8 per month). https://aws.amazon.com/quicksight/pricing/ https://aws.amazon.com/opensearch-service/pricing/ https://aws.amazon.com/redshift/pricing/
upvoted 2 times
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rookiee1111
1 year, 10 months ago
It is D Cost effective With Lambda + S3 event notification, Latest data will be picked up Athena can help with ad hoc queries perfect for that QuickSight with Direct Query can handle real time refresh https://docs.aws.amazon.com/quicksight/latest/user/refreshing-data.html
upvoted 1 times
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Menyawy
1 year, 10 months ago
Selected Answer: C
I think its C due to the fact that Kibana provides real time dash board capabilities and glue is cheaper than emr.
upvoted 2 times
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pk349
2 years ago
D: I passed the test
upvoted 1 times
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murali12180
2 years, 3 months ago
Selected Answer: D
The question says "cost effective", so answer is D.
upvoted 4 times
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hughnguyen
2 years, 3 months ago
I would think it was C
upvoted 1 times
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rocky48
2 years, 5 months ago
Selected Answer: D
D is a better option. Lambda and S3 notifications make so much sense if the data is already uploaded to S3 everyday and you want to trigger the process upon the upload event.
upvoted 5 times
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silvaa360
2 years, 5 months ago
I would go for D, only in doubt regarding Athena. But I think that if we compare creating a OpenSearch cluster and a Redshift cluster vs having Athena and Quicksight it is more cost efectively.
upvoted 2 times
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pgf909
2 years, 5 months ago
Selected Answer: C
D is more cost-effective, however it can't meeting a must request "must provide the ability to perform one-time queries and analytical reporting in a scalable manner." as athena is not scalable
upvoted 1 times
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rav009
2 years, 5 months ago
Selected Answer: D
D for sure. Not C because you need a redshift to use redshift spectrum and Opensearch+Kibana is used in near-realtime scenario but here the data is uploaded "daily"
upvoted 4 times
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b33f
2 years, 6 months ago
Selected Answer: C
I vote for C because they want to see the up-to-date listings as soon as the data is uploaded to Amazon S3. OpenSearch Dashboards allows them to refresh and display the most up-to-date dashboard automatically right away. C may not be as cost-effective as D, but D does not meet the requirement of delivering the listings as soon as the data is uploaded.
upvoted 4 times
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MultiCloudIronMan
2 years, 7 months ago
D because its most cost effective
upvoted 3 times
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jazzok
2 years, 7 months ago
Answer:D EMR is not cost-effective, AB is out; OpenSearch is also expensive compared to QuickSight. C is out. D is perfectly cost-effective.
upvoted 1 times
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rocky48
2 years, 9 months ago
Selected Answer: C
C seems correct cost-effective rules out emr [A&B]
upvoted 2 times
rocky48
2 years, 9 months ago
Maybe D is better in this solution. Lambda and S3 notifications make so much sense if the data is already uploaded to S3 everyday and you want to trigger the process upon the upload event.
upvoted 3 times
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girish123456
2 years, 9 months ago
Selected Answer: D
Most cost effective solution
upvoted 1 times
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