SKILL BENCHMARK
Data Infrastructures with Snowflake Proficiency (Advanced Level)
- 19m
- 19 questions
The Data Infrastructures with Snowflake Proficiency (Advanced Level) benchmark measures your ability to work with continuous data, perform advanced analytics in Snowflake, and work with semi-structured data in Snowflake. You will be evaluated on your skills in setting up a table and internal Snowflake stage for data ingestion, integrating Snowflake with Azure and AWS, executing various join operations, and loading and querying JSON and XML data in Snowflake. A learner who scores high on this benchmark demonstrates that they have the skills to work on advanced analytics using Snowflake without any supervision.
Topics covered
- access unstructured JSON data from Snowflake
- create a pipe to auto-load data from Amazon S3 into a Snowflake table
- create a Snowpipe and view its metadata
- execute full outer, natural, and cross joins
- extract column values from JSON data and load them into a regular Snowflake table
- ingest data continuously from S3 into Snowflake
- link the Azure and Snowflake resources with a Snowpipe for continuous data ingestion
- load data into a table automatically using a Snowflake pipe
- load JSON data as arrays into Snowflake tables
- outline how batch, stream, and micro-batch processing works
- perform inner, left, and right joins
- recall how structured and semi-structured data work
- recognize how the Snowpipe service works in Snowflake
- recognize Snowflake’s support for big data analytics
- set up a table and internal Snowflake stage and load JSON data into the stage
- set up the stage, file format, and data for loading continuous data
- test out the auto-ingesting of data from Azure storage into a Snowflake table
- use CTEs within queries
- use subqueries and set operators
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