Databricks Certified Data Engineer - Associate
Get started today
Ultimate access to all questions.
A data engineering team is in the process of converting their existing data pipeline to utilize Auto Loader for incremental processing in the ingestion of JSON files. One data engineer comes across the following code block in the Auto Loader documentation:
(streaming_df = spark.readStream.format("cloudFiles")
.option("cloudFiles.format", "json")
.option("cloudFiles.schemaLocation", schemaLocation)
.load(sourcePath))
(streaming_df = spark.readStream.format("cloudFiles")
.option("cloudFiles.format", "json")
.option("cloudFiles.schemaLocation", schemaLocation)
.load(sourcePath))
Assuming that schemaLocation and sourcePath have been set correctly, which of the following changes does the data engineer need to make to convert this code block to use Auto Loader to ingest the data?
Exam-Like
Community
KKeng
A
The data engineer needs to change the format("cloudFiles") line to format("autoLoader").
B
There is no change required. Databricks automatically uses Auto Loader for streaming reads.
C
There is no change required. The inclusion of format("cloudFiles") enables the use of Auto Loader.
D
The data engineer needs to add the .autoLoader line before the .load(sourcePath) line.
E
There is no change required. The data engineer needs to ask their administrator to turn on Auto Loader.
Explanation:
Explanation
Correct Answer: C - There is no change required. The inclusion of format("cloudFiles") enables the use of Auto Loader.
Detailed Explanation:
In Databricks, Auto Loader is accessed through the cloudFiles format. When you use format("cloudFiles") in a streaming read operation, you are already using Auto Loader. The code block shown in the question is the correct way to use Auto Loader for incremental data ingestion.
Why other options are incorrect:
- A: Incorrect - There is no
format("autoLoader")option. Auto Loader is accessed viaformat("cloudFiles"). - B: Incorrect - While Databricks does use Auto Loader for certain operations, you need to explicitly specify
format("cloudFiles")to enable Auto Loader's incremental processing capabilities. - D: Incorrect - There is no
.autoLoadermethod or line to add. The configuration is done through theformat("cloudFiles")and associated options. - E: Incorrect - Auto Loader doesn't require administrator activation. It's available as part of the Databricks platform when using
format("cloudFiles").
Key Points about Auto Loader:
- Auto Loader is designed for incremental data ingestion from cloud storage
- It automatically detects new files and processes them
- The
cloudFiles.formatoption specifies the file format (JSON, CSV, etc.) - The
cloudFiles.schemaLocationoption stores schema evolution information - This exact code pattern is the standard way to use Auto Loader in Databricks
Comments
Loading comments...