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Snowflake DEA-C02 Exam Syllabus Topics:

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

1. A data engineering team is building a real-time fraud detection system. They have a large 'TRANSACTIONS table that grows rapidly. They need to calculate the average transaction amount per merchant daily. The following query is used:

This query is run every hour and is performance-critical. Which of the following materialized view definitions would provide the BEST performance improvement, considering the need for near real-time data and minimal latency?

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

2. Consider a scenario where you have a Snowflake external table 'ext_logs' pointing to log files in an S3 bucket. The log files are continuously being updated, and new files are added frequently. You want to ensure that your external table always reflects the latest data available in S3. Which of the following actions and configurations are required or recommended to keep the external table synchronized with the underlying data source? (Select all that apply)

A) Enable auto-refresh on the external table using the 'AUTO_REFRESH = TRUE parameter during creation.
B) Configure an event notification service (e.g., AWS SQS) to trigger an external table refresh whenever new files are added to S3.
C) Periodically execute the 'ALTER EXTERNAL TABLE ext_logs REFRESH' command to update the metadata about the files in S3.
D) Implement a stored procedure that periodically executes a query on the external table to force a metadata refresh.
E) Create a Snowpipe that continuously loads data from the S3 bucket into a Snowflake table instead of using an external table.

3. You are designing a data pipeline that involves unloading large amounts of data (hundreds of terabytes) from Snowflake to AWS S3 for archival purposes. To optimize cost and performance, which of the following strategies should you consider? (Select ALL that apply)

A) Enable client-side encryption with KMS in S3 and specify the encryption key in the 'COPY INTO' command to enhance security.
B) Use a large Snowflake warehouse size to parallelize the unload operation and reduce the overall unload time.
C) Choose a file format such as Parquet or ORC with compression enabled to reduce storage costs and improve query performance in S3.
D) Partition the data during the unload operation based on a high-cardinality column to maximize parallelism in S3.
E) Utilize the 'MAX FILE SIZE parameter in the 'COPY INTO' command to control the size of individual files unloaded to S3. Smaller files generally improve query performance in S3.

4. 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 A
B) Option B
C) Option C
D) Option E
E) Option D

5. You have a base table 'ORDERS' with columns 'ORDER ID, 'CUSTOMER D', 'ORDER DATE, and 'ORDER AMOUNT'. You need to create a view that aggregates the total order amount per customer per month. However, for data governance purposes, you need to ensure that the view only shows data for the last 3 months. What is the MOST efficient and secure way to create this view in Snowflake?

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

Solutions: