A Data Engineer is developing a data pipeline to ingest data from an Amazon S3 bucket into a Snowflake table.Files will be loaded into the S3 bucket randomly, with most files loaded during working hours. The files are in a compressed CSV format (*.csv.gz) and average 100 MB per file.The data ingestion requirements are listed in order of priority:1. MOST cost-effective method2. LEAST amount of operational overhead3. New data MUST be available within 10 minutes of the creation of a fileWhich ingestion method will meet these requirements?
Answer(s): A
Snowpipe provides serverless, event-driven file ingestion with minimal operational overhead and low per-file cost, delivering data well within the 10-minute requirement.
How should a Data Engineer build a pipeline that executes a stored procedure to parse and load unstructured data files as the files arrive in a stage?
Answer(s): D
Use a directory table on the stage to capture arriving files, create a stream on that table to detect new rows, and define a task that invokes the stored procedure whenever new files appear.
A Data Engineer needs to configure a task in Snowflake to automatically send error notifications in case of a data loading failure. The Engineer wants to use an existing task that inserts data into a table every 5 minutes. The Engineer set up a notification integration with Amazon Secure Notification Service (SNS) named my_notification_int.How should the task be updated to automatically send error notifications if it fails?
Answer(s): B
Use ALTER TASK ... SET ERROR_INTEGRATION = `my_notification_int' so that SNS will be notified whenever the task encounters a failure.
A Data Engineer is investigating a query that is taking a long time to return. The Query Profile shows the following:What step should the Engineer take to increase the query performance?
A Data Engineer executes a complex query and wants to make use of Snowflake's query results caching capabilities to reuse the results.Which conditions must be met? (Choose three.)
Answer(s): D,E,F
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