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Question 46/57
A data engineer is building a data pipeline on AWS by using AWS Glue extract, transform, and load (ETL) jobs. The data engineer needs to process data from Amazon RDS and MongoDB, perform transformations, and load the transformed data into Amazon Redshift for analytics. The data updates must occur every hour.
Which combination of tasks will meet these requirements with the LEAST operational overhead?
(Choose two.)
Which combination of tasks will meet these requirements with the LEAST operational overhead?
(Choose two.)
Correct Answer: A,D
AWS Glue triggers provide a simple and integrated way to schedule ETL jobs. By configuring these triggers to run hourly, the data engineer can ensure that the data processing and updates occur as required without the need for external scheduling tools or custom scripts. This approach is directly integrated with AWS Glue, reducing the complexity and operational overhead.
AWS Glue supports connections to various data sources, including Amazon RDS and MongoDB.
By using AWS Glue connections, the data engineer can easily configure and manage the connectivity between these data sources and Amazon Redshift. This method leverages AWS Glue's built-in capabilities for data source integration, thus minimizing operational complexity and ensuring a seamless data flow from the sources to the destination (Amazon Redshift).
AWS Glue supports connections to various data sources, including Amazon RDS and MongoDB.
By using AWS Glue connections, the data engineer can easily configure and manage the connectivity between these data sources and Amazon Redshift. This method leverages AWS Glue's built-in capabilities for data source integration, thus minimizing operational complexity and ensuring a seamless data flow from the sources to the destination (Amazon Redshift).
- 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...
