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

1. A financial institution needs to mask sensitive customer data (PII) in a 'CUSTOMER' table. The table contains columns like 'CUSTOMER ID', 'FIRST NAME', 'LAST NAME', 'CREDIT CARD, and 'ADDRESS'. The data should be masked differently for different roles: 'ANALYST' role should see obfuscated values for names and addresses, while the 'SUPPORT' role should see the last four digits of the credit card and a hashed version of the address. The "CUSTOMER ID' should never be masked. Assume a central masking policy already exists called 'PII MASKING POLICY. Which of the following statements is the MOST efficient and secure way to achieve this?

A) Create multiple masking policies with different masking expressions and apply them directly to the columns based on the role using conditional expressions within the policies. Use 'CASE statements within the masking policy to differentiate between roles.
B) Create multiple masking policies, one for each role and sensitive column combination, each with the appropriate masking expression. Then, apply each masking policy individually to its respective column. Use the function to implement role-based masking within each policy.
C) Create a single masking policy with a complex stored procedure that checks the current role and applies different masking functions accordingly, then apply this policy to all sensitive columns.
D) Create view for each role which applies masking functions to the columns. Grant SELECT access on those views to relevant roles.
E) Create external functions to handle the complex masking logic and call them from the masking policy.

2. A data engineer is investigating high credit consumption on a Snowflake warehouse due to frequent re-clustering operations on a large table named 'WEB EVENTS. This table is clustered on 'EVENT TIMESTAMP' and 'USER ID. The engineer suspects that the high frequency of data ingestion, especially out-of-order 'EVENT TIMESTAMP' values, contributes to the poor clustering. Choose the options that can lead to optimizing clustering and reducing credit consumption, assuming you have limited control over the ingestion process and data quality.

A) Partition the table based on "EVENT _ TIMESTAMP' instead of clustering.
B) Implement a pre-processing stage to sort the incoming data by 'EVENT TIMESTAMP before loading it into the 'WEB EVENTS table, using a temporary table and then inserting into the final table.
C) Implement a maintenance task to periodically re-cluster the table less frequently, but at more strategically chosen times (e.g., during off-peak hours).
D) Drop the clustering key altogether to avoid re-clustering costs.
E) Increase the warehouse size to accelerate the re-clustering process.

3. You are tasked with building a User-Defined Aggregate Function (UDAF) in Snowflake to calculate the weighted average of product prices. The weight is determined by the quantity sold for each product. You have the following table: 'SALES (product_id INTEGER, price quantity INTEGER)'. Which of the following UDAF definitions would correctly calculate the weighted average?

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

4. You are tasked with building a data pipeline that ingests data from various sources into Snowflake, processes it, and then writes the final results back to a data lake in AWS S3, partitioned by date. The data in S3 should be queryable by other applications outside of Snowflake. You choose to use Snowflake Iceberg tables for this purpose. Which of the following is the correct SQL statement to create an Iceberg table 'analytics.public.daily_summary' in Snowflake, backed by an S3 bucket 's3://your-bucket/data/daily_summary/', partitioned by the column, and specifying 'parquet' as the file format?

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

5. You are tasked with sharing a subset of a customer table (CUSTOMER DATA') residing in your organization's Snowflake account with a partner organization. You need to mask personally identifiable information (PII) while providing near real-time updates. You decide to use a secure view. Which of the following SQL statements is the MOST efficient and secure way to accomplish this, assuming the partner only needs 'customer id', 'masked_email', 'city', and 'state'? The email should be masked using SHA256.

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

Solutions: