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Question 31/57
A company stores 10 to 15 TB of uncompressed .csv files in Amazon S3. The company is evaluating Amazon Athena as a one-time query engine.
The company wants to transform the data to optimize query runtime and storage costs.
Which file format and compression solution will meet these requirements for Athena queries?
The company wants to transform the data to optimize query runtime and storage costs.
Which file format and compression solution will meet these requirements for Athena queries?
Correct Answer: C
Parquet provides efficient columnar storage, enabling Athena to read only the necessary data for queries, which reduces scan times and speeds up query performance.
Snappy compression offers a good balance between compression speed and efficiency, reducing storage costs without significantly impacting query times.
Snappy compression offers a good balance between compression speed and efficiency, reducing storage costs without significantly impacting query times.
- Question List (57q)
- Question 1: A data engineer needs to debug an AWS Glue job that reads fr...
- Question 2: A company is planning to upgrade its Amazon Elastic Block St...
- Question 3: A media company wants to improve a system that recommends me...
- Question 4: A company uses an on-premises Microsoft SQL Server database ...
- Question 5: A data engineer needs to join data from multiple sources to ...
- Question 6: A company's data engineer needs to optimize the performance ...
- Question 7: A marketing company collects clickstream data. The company s...
- Question 8: An online retail company has an application that runs on Ama...
- Question 9: An ecommerce company wants to use AWS to migrate data pipeli...
- Question 10: A banking company uses an application to collect large volum...
- Question 11: A data engineer needs Amazon Athena queries to finish faster...
- Question 12: A company wants to implement real-time analytics capabilitie...
- Question 13: A data engineer has a one-time task to read data from object...
- Question 14: A company maintains multiple extract, transform, and load (E...
- Question 15: A company has multiple applications that use datasets that a...
- Question 16: What is the primary purpose of data lineage in data engineer...
- Question 17: A data engineer must build an extract, transform, and load (...
- Question 18: A data engineer finished testing an Amazon Redshift stored p...
- Question 19: A data engineer needs to use AWS Step Functions to design an...
- Question 20: A company stores data from an application in an Amazon Dynam...
- Question 21: A financial services company stores financial data in Amazon...
- Question 22: A data engineer must orchestrate a data pipeline that consis...
- Question 23: A data engineer notices that Amazon Athena queries are held ...
- Question 24: During a security review, a company identified a vulnerabili...
- Question 25: A data engineer runs Amazon Athena queries on data that is i...
- Question 26: A company plans to provision a log delivery stream within a ...
- Question 27: A lab uses IoT sensors to monitor humidity, temperature, and...
- Question 28: A data engineer needs to securely transfer 5 TB of data from...
- Question 29: A data engineer must orchestrate a series of Amazon Athena q...
- Question 30: A data engineer must ingest a source of structured data that...
- Question 31: A company stores 10 to 15 TB of uncompressed .csv files in A...
- Question 32: An airline company is collecting metrics about flight activi...
- Question 33: A company receives .csv files that contain physical address ...
- Question 34: A company stores data in a data lake that is in Amazon S3. S...
- Question 35: A company is planning to use a provisioned Amazon EMR cluste...
- Question 36: A financial company wants to implement a data mesh. The data...
- Question 37: A retail company uses AWS Glue for extract, transform, and l...
- Question 38: A company needs to partition the Amazon S3 storage that the ...
- Question 39: A company uses Amazon Athena for one-time queries against da...
- Question 40: You have been tasked with migrating an on-premises MySQL dat...
- Question 41: A company is planning to migrate on-premises Apache Hadoop c...
- Question 42: A company is designing a data lake on Amazon S3. To ensure h...
- Question 43: A company stores petabytes of data in thousands of Amazon S3...
- Question 44: A company uses an on-premises Microsoft SQL Server database ...
- Question 45: A data engineer is using Amazon Athena to analyze sales data...
- Question 46: A data engineer is building a data pipeline on AWS by using ...
- Question 47: A company uses Amazon Athena to run SQL queries for extract,...
- Question 48: A company is migrating on-premises workloads to AWS. The com...
- Question 49: A company extracts approximately 1 TB of data every day from...
- Question 50: A data engineering team is using an Amazon Redshift data war...
- Question 51: A company is building an analytics solution. The solution us...
- Question 52: A media company uses software as a service (SaaS) applicatio...
- Question 53: A company has a business intelligence platform on AWS. The c...
- Question 54: A company stores datasets in JSON format and .csv format in ...
- Question 55: A company stores details about transactions in an Amazon S3 ...
- Question 56: An insurance company stores transaction data that the compan...
- Question 57: A data engineer wants to improve the performance of SQL quer...
