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

1. You need to create a development environment from a production schema called 'PRODUCTION SCHEMA. You decide to clone the schema'. Which of the following statements are correct regarding the impact of cloning a schema in Snowflake? (Select all that apply)

A) Cloned schemas consume twice the storage as the source schema immediately after cloning as the underlying data is duplicated.
B) All tables, views, and user-defined functions (UDFs) within the 'PRODUCTION_SCHEMX will be cloned to the new development schema.
C) Sequences in the cloned schema will continue from where they left off in the original 'PRODUCTION SCHEMA' if no operations are performed on sequence object, if the sequence is updated after cloning then these sequences are fully independent.
D) Cloning a schema automatically clones all tasks and streams associated with tables in the schema but only if the clone is executed at the Database Level.
E) External tables are also cloned when cloning a schema, but the underlying data files in cloud storage are not duplicated.

2. You are designing a Snowflake data pipeline that continuously ingests clickstream dat a. You need to monitor the pipeline for latency and throughput, and trigger notifications if these metrics fall outside acceptable ranges. Which of the following combinations of Snowflake features and techniques would be MOST effective for achieving this goal?

A) Implement a combination of Snowflake Streams, Tasks, and external functions. Streams capture changes, Tasks process the changes, and external functions send notifications to a monitoring service when latency or throughput issues are detected.
B) Create a custom dashboard using a Bl tool that connects to Snowflake via JDBC/ODBC and visualizes data ingestion and processing metrics. Manually monitor the dashboard for anomalies.
C) Rely on Snowflake's default resource monitors to track warehouse usage. If warehouse usage exceeds a certain threshold, assume there are performance issues and send a notification.
D) Use Snowflake's Event Tables and Event Notifications to capture events related to data ingestion and processing. Configure alerts based on event patterns that indicate latency or throughput issues.
E) Use Snowflake's 'QUERY_HISTORY view to track query execution times and implement a scheduled task that queries this view, calculates latency and throughput, and sends email notifications using Snowflake's built-in email integration if thresholds are exceeded.

3. You are tasked with implementing data masking on a 'CUSTOMER' table. The requirement is to mask the 'EMAIL' column for all users except those with the 'DATA ADMIN' role. You have the following code snippet. What is wrong with it?

A) The masking policy is applied to the wrong column. It should be applied to the ID column, not the EMAIL column.
B) The masking policy syntax is incorrect. It should use 'CASE WHEN IS_ROLE_IN_SESSION('DATA_ADMIN') THEN EMAIL ELSE '[email protected]' END'.
C) Without masking poliy code, it's impossible to determine if there is anything wrong.
D) There is no code provided, so there is nothing wrong with it.
E) The WITH clause is unneccessary.

4. You're working on a data transformation pipeline in Snowflake. You need to create a SQL UDF called that accepts the following parameters: 'price' (NUMBER) (NUMBER) (BOOLEAN) The function should calculate the final price after applying the discount. If the customer , an additional 5% discount should be applied on top of the initial discount. Choose all the valid SQL UDF definitions that accurately implement the requirements. Only one Discount Percentage needs to apply to the base price.

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

5. You have data residing in AWS S3 in Parquet format, which is updated daily with new columns being added occasionally. The data is rarely accessed, but when it is, it needs to be queried using SQL within Snowflake. You want to minimize storage costs within Snowflake while ensuring the data can be queried without requiring manual table schema updates every time a new column is added to the S3 data'. Which approach is MOST suitable?

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

Solutions: