Databricks Certified Data Engineer - Associate
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As a data engineer working on a data lake in a multi-cloud environment, you are tasked with optimizing data ingestion processes. Your team is considering using Auto Loader for efficient and scalable data loading from cloud storage into Delta Lake. You come across the following Python code snippet that specifies a source location:
source_location = "s3://my-bucket/data/"
Given this scenario, and considering the need for cost-effectiveness, compliance with data governance policies, and scalability, which of the following statements accurately assesses the use of Auto Loader based on the provided code snippet? Choose the best option.
As a data engineer working on a data lake in a multi-cloud environment, you are tasked with optimizing data ingestion processes. Your team is considering using Auto Loader for efficient and scalable data loading from cloud storage into Delta Lake. You come across the following Python code snippet that specifies a source location:
source_location = "s3://my-bucket/data/"
Given this scenario, and considering the need for cost-effectiveness, compliance with data governance policies, and scalability, which of the following statements accurately assesses the use of Auto Loader based on the provided code snippet? Choose the best option.
Explanation:
The code snippet provided only specifies a source location in an S3 bucket. While Auto Loader can work with S3 buckets, the snippet does not include any Auto Loader-specific configurations or functions, such as spark.readStream.format("cloudFiles"), which are necessary to confirm the use of Auto Loader. Therefore, without additional information, it's impossible to determine if Auto Loader is being used.