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Snowflake DEA-C02 Exam Syllabus Topics:

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

1. You are tasked with optimizing a Snowpipe Streaming pipeline that ingests data from Kafka into a Snowflake table named 'ORDERS' You notice that while the Kafka topic has high throughput, the data ingestion into Snowflake is lagging. The pipe definition is as follows: "sql CREATE OR REPLACE PIPE ORDERS_PIPEAS COPY INTO ORDERS FROM @KAFKA STAGE FILE_FORMAT = (TYPE = JSON); Which of the following actions, taken individually, would be MOST effective in improving the ingestion rate, assuming sufficient compute resources are available in your Snowflake virtual warehouse?

A) Tune the parameter in the file format definition to a smaller value.
B) Increase the size of the virtual warehouse associated with the Snowflake account.
C) Increase the number of Kafka partitions and ensure Snowflake has enough compute to consume them in parallel using Snowpipe Streaming.
D) Implement batching within the Kafka producer to send larger messages.
E) Enable auto-ingest for the Snowpipe.

2. A data engineer is tasked with creating an external table that points to a directory in AWS S3 containing CSV files. The files have a header row and are comma-delimited. The engineer executes the following DDL statement:

A) The statement will fail because the 'SKIP HEADER property is invalid and the 'skip_header' parameter should be used in the 'CREATE FILE FORMAT statement.
B) The statement will fail because the FIELD_DELIMITER property should be 'DELIMITER.
C) The statement will succeed if a file format named 'csv_format' with the specified properties already exists.
D) The statement will fail because the 'LOCATION' is missing the protocol (e.g., 's3:/P).
E) The statement will fail because external tables cannot be created directly from CSV files without defining a stage.

3. You are using the Snowflake Developer API to automate the creation and management of masking policies. You need to create a masking policy that masks an email address using SHA256 hashing. You also want to ensure that the policy can be applied to multiple tables and columns without modification. Assuming you have already established a connection to Snowflake using the Developer API, which of the following code snippets BEST demonstrates how to create and apply this masking policy using Python?

A) Option A
B) Option D
C) Option B
D) Option C
E) Option E

4. You are performing a series of complex data transformations on a large table named 'TRANSACTIONS' in Snowflake. After running several DML statements, you realize that an earlier transformation step introduced incorrect data into the table. You want to rollback the table to a state before that specific transformation occurred. Which of the following methods could be used to achieve this rollback, assuming you know the exact timestamp or query ID of the state you want to revert to? Select all that apply.

A) Restore the entire Snowflake account to a point in time before the incorrect transformation.
B) Create a clone of the ' TRANSACTIONS' table using Time Travel, specifying the 'AT' or 'BEFORE clause with either the timestamp or query ID of the desired state. Then, replace the original table with the cloned table.
C) Use the UNDROP TABLE command if the table was dropped accidentally, then manually re-apply the correct transformations.
D) Create a new table with the correct data and load from the original table filtered by a range of transaction IDs excluding the incorrect range.
E) Use Time Travel to query the historical version of the 'TRANSACTIONS' table using the 'AT' or 'BEFORE clause with either the timestamp or query ID. Then, use 'INSERT OVERWRITES or ' REPLACE TABLES statement to replace the current content of the original table with the historical data.

5. A Snowflake table, contains product information in a VARIANT column named This column holds JSON structures. You need to create a view, , that exposes specific fields , and 'category') as structured columns, and should gracefully handle scenarios where may contain characters incompatible with VARCHAR, 'category' is nested inside an array called 'tags'. What is the BEST and the MOST robust approach?

A) Option A
B) Option D
C) Option B
D) Option C
E) Option E

Solutions: