MLS-C01 · Question #33
A Data Scientist needs to migrate an existing on-premises ETL process to the cloud. The current process runs at regular time intervals and uses PySpark to combine and format multiple large data source
Sign in or unlock MLS-C01 to reveal the answer and full explanation for question #33. The question stem and answer options stay visible for context.
Question
A Data Scientist needs to migrate an existing on-premises ETL process to the cloud. The current process runs at regular time intervals and uses PySpark to combine and format multiple large data sources into a single consolidated output for downstream processing. The Data Scientist has been given the following requirements to the cloud solution:
- Combine multiple data sources.
- Reuse existing PySpark logic.
- Run the solution on the existing schedule.
- Minimize the number of servers that will need to be managed.
Which architecture should the Data Scientist use to build this solution?
Options
- AWrite the raw data to Amazon S3. Schedule an AWS Lambda function to submit a Spark step to a
- BWrite the raw data to Amazon S3. Create an AWS Glue ETL job to perform the ETL processing
- CWrite the raw data to Amazon S3. Schedule an AWS Lambda function to run on the existing
- DUse Amazon Kinesis Data Analytics to stream the input data and perform real-time SQL queries
Unlock MLS-C01 to see the answer
You've previewed enough free MLS-C01 questions. Unlock MLS-C01 for full answers, explanations, the timed quiz mode, progress tracking, and the master PDF. Question stem and options stay visible so you can still see what's on the exam.