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Snowflake DEA-C02 Exam Syllabus Topics:

Snowflake SnowPro Advanced: Data Engineer (DEA-C02) Sample Questions:

1. You are developing a JavaScript stored procedure in Snowflake using Snowpark to perform a complex data transformation. This transformation involves multiple steps: filtering, joining with another table, and aggregating data'. You need to ensure that the stored procedure is resilient to failures and can be easily debugged. Which of the following practices would contribute to the robustness and debuggability of your stored procedure? (Select all that apply)

A) Relying solely on try-catch blocks within the stored procedure to handle all potential exceptions.
B) Breaking down the complex transformation into smaller, modular functions within the stored procedure and testing each function independently.
C) Using Snowpark's logging capabilities to record intermediate results and error messages at various stages of the transformation.
D) Passing the 'snowflake' binding as an argument to each modular function to facilitate logging and SQL execution within those functions.
E) Directly manipulating the Snowflake metadata (e.g., table schemas) within the stored procedure for dynamic schema evolution.

2. You are implementing Snowpipe using the REST API for a custom data ingestion process. Your application uploads data files to an internal stage named '@MY STAGE and then calls the Snowpipe REST API to trigger the data load. However, you are encountering 'insufficient privileges' errors when calling the API, even though the role used to authenticate the API requests has the 'USAGE' privilege on the stage and the 'OPERATE' privilege on the pipe. The Pipe name is 'MY PIPE'. Which of the following is the MOST LIKELY cause of this error, and what can you do to resolve it?

A) The Snowpipe's 'EXECUTE TASK' privilege has not been granted to the role used for the REST API calls. Grant the 'EXECUTE TASK' privilege to the role.
B) The role used to authenticate the API requests does not have the 'SELECT' privilege on the underlying table that the Snowpipe is loading data into.
C) The role used to authenticate the API requests does not have the 'OWNERSHIP' privilege on the Snowpipe.
D) The role doesn't have the 'USAGE' privilege on the database and schema containing the stage and pipe. Grant 'USAGE' on the database and schema.
E) The role used to authenticate the API requests requires the 'INSERT privilege on the target table in addition to 'USAGE on the stage and 'OPERATE on the pipe. Grant the 'INSERT privilege to the role.

3. You have a table named 'EMPLOYEES with a retention period of 1 day. You accidentally deleted several important rows from this table, but you need to recover the data'. You know the deletion occurred 25 hours ago. What actions should be taken to attempt to recover the deleted data, and what outcome can you expect? Assume you are working in an Enterprise edition of Snowflake account.

A) Attempt to use UNDROP TABLE command if the table was dropped. Expect the recovery to be successful as long as the deletion occurred within the data retention period.
B) Attempt to clone the table using Time Travel to a point in time before the deletion, then extract the deleted rows. Expect the recovery to be successful as long as the deletion occurred within the data retention period.
C) Attempt to use Time Travel to query the table before the deletion and re-insert the deleted rows. Expect the recovery to be successful as long as the deletion occurred within the data retention period.
D) Since its Enterprise edition of Snowflake account, the Time travel and cloning will work with 7 days retention period, hence attemtp clone table using Time Travel and recover data successfully
E) Attempt to use Time Travel or cloning to recover the data. Expect the recovery to fail because the deletion occurred outside the I-day data retention period.

4. You are developing a Snowpark Python application that needs to process data from a Kafka topic. The data is structured as Avro records. You want to leverage Snowpipe for ingestion and Snowpark DataFrames for transformation. What is the MOST efficient and scalable approach to integrate these components?

A) Convert Avro data to JSON using a Kafka Streams application before ingestion. Use Snowpipe to ingest the JSON data to a VARIANT column and then process it using Snowpark DataFrames.
B) Create a Kafka connector that directly writes Avro data to a Snowflake table. Then, use Snowpark DataFrames to read and transform the data from that table.
C) Create external functions to pull the Avro data into a Snowflake stage and then read the data with Snowpark DataFrames for transformation.
D) Configure Snowpipe to ingest the raw Avro data into a VARIANT column in a staging table. Utilize a Snowpark DataFrame with Snowflake's get_object field function on the variant to get an object by name, and create columns based on each field.
E) Use Snowpipe to ingest the Avro data to a raw table stored as binary. Then, use a Snowpark Python UDF with an Avro deserialization library to convert the binary data to a Snowpark DataFrame.

5. You are tasked with designing a solution to load semi-structured data (JSON) from an AWS S3 bucket into a Snowflake table using Snowpipe and the REST API. The data in S3 is constantly being updated, and you need to ensure that only new or modified files are loaded into Snowflake. Which of the following steps are essential for implementing an efficient and cost-effective solution?

A) Configure Snowpipe to automatically detect new files in the S3 bucket using event notifications, but manually refresh the pipe using SYSTEM $PIPE STATUS periodically to ensure that all files are processed.
B) Configure auto-ingest using SQS queue and SNOWPIPE object. No need to manually call the REST API endpoint for data loading.
C) Use the 'VALIDATION MODES copy option with 'RETURN_ALL RESULTS = TRUE to validate all data being loaded into the Snowflake table.
D) Create a Snowflake external function that polls the S3 bucket every minute, checks for new files using the LIST command, and then calls the Snowpipe REST API endpoint for each new file.
E) Configure an S3 event notification to trigger a REST API call to the Snowpipe endpoint whenever a new or modified file is added to the S3 bucket. The API call should include the file name in the request.

Solutions: