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最新的 SnowPro Advanced SOL-C01 免費考試真題:

1. A data engineer needs to create a table in Snowflake to store JSON data from an external API.
The API returns a nested JSON structure that is frequently updated with new fields. Which data type is MOST suitable for storing this JSON data, and what are the key considerations for querying it efficiently?

A) VARCHAR with a size large enough to accommodate the largest expected JSON document.
Query efficiency depends on using LIKE and SIJBSTRING functions.
B) VARIANT. Query efficiency is achieved using dot notation and FLATTEN table function, but storage size might be larger than VARCHAR.
C) OBJECT. Suitable if the JSON structure is strictly defined and known in advance, allowing for optimized schema and query performance.
D) BINARY. Suitable for storing raw JSON bytes. Requires custom conversion functions for querying, resulting in poor performance.
E) ARRAY. Best suited if the primary structure is an array of similar JSON objects, allowing for easy iteration and filtering.

2. A Snowflake administrator wants to ensure that a specific virtual warehouse used for data loading is only accessible by users with the 'DATA LOADER' role. Which of the following SQL commands is the MOST secure and effective way to achieve this, preventing unauthorized users from using the warehouse?

A)

B)

C)

D)

E)

3. A data engineer needs to load data from an Amazon S3 bucket into Snowflake. The data is in CSV format, compressed with GZIP, and contains a header row. They want to use Snowpipe for continuous data loading. The S3 bucket is properly configured with an SNS topic and SQS queue. Given the following Snowflake objects: CREATE OR REPLACE FILE FORMAT TYPE = CSV COMPRESSION = GZIP FIELD DELIMITER = ',' SKIP_HEADER = 1; CREATE OR REPLACE STAGE URL = 's3://my- bucket/data/' CREDENTIALS = CAWS_KEY ID = AWS SECRET KEY = CREATE OR REPLACE PIPE my_snowpipe AS COPY INTO my_table FROM FILE FORMAT = (FORMAT = After creating the pipe, no data is loaded automatically. What is the MOST likely reason for this?

A) The user executing the 'CREATE PIPE statement lacks the necessary privileges to access the S3 bucket.
B) The SNS topic in S3 is not correctly configured to send notifications to the SQS queue.
C) The pipe needs to be explicitly refreshed using 'ALTER PIPE my_snowpipe REFRESH;' before it starts loading data automatically.
D) The SQS queue policy doesn't grant Snowflake the necessary permissions to receive messages.
E) The "SKIP_HEADER = 1' parameter in the file format is preventing Snowpipe from recognizing the data.

4. You are designing a data warehouse in Snowflake. You need to ensure that users in the
'REPORTING TEAM' can only view data in the 'SALES TABLE table after it has been masked to hide sensitive information. You have implemented a masking policy called 'EMAIL MASK' that replaces email addresses with asterisks. How do you apply the masking policy and grant the correct privileges to the 'REPORTING TEAM' role?

A) CREATE MASKING POLICY EMAIL_MASK
AS (val string) RETURNS string ->
CASE WHEN CURRENT_ROLE() IN ('REPORTING_TEAM') THEN '*****'
ELSE val END;
ALTER TABLE SALES_TABLE MODIFY COLUMN email SET MASKING POLICY EMAIL_MASK; GRANT SELECT ON TABLE SALES_TABLE TO ROLE REPORTING_TEAM;
B) GRANT APPLY MASKING POLICY ON ACCOUNT TO ROLE REPORTING_TEAM;
ALTER TABLE SALES_TABLE MODIFY COLUMN email SET MASKING POLICY EMAIL_MASK;
C) ALTER TABLE SALES_TABLE MODIFY COLUMN email SET MASKING POLICY EMAIL_MASK; GRANT APPLY MASKING POLICY ON ACCOUNT TO ROLE REPORTING_TEAM; GRANT SELECT ON TABLE SALES_TABLE TO ROLE REPORTING_TEAM;
D) ALTER TABLE SALES_TABLE MODIFY COLUMN email
SET MASKING POLICY EMAIL_MASK;
GRANT SELECT ON TABLE SALES_TABLE TO ROLE REPORTING_TEAM;
E) GRANT UNMASK ON TABLE SALES_TABLE TO ROLE REPORTING_TEAM;
ALTER TABLE SALES_TABLE MODIFY COLUMN email SET MASKING POLICY EMAIL_MASK;

5. You're using Snowflake Cortex's 'PARSE DOCUMENT function to extract data from a large number of PDF documents stored in an AWS S3 bucket. You want to optimize costs by minimizing the amount of data processed by the function. Which of the following strategies would be MOST effective? (Choose all that apply)

A) Pre-process the documents to extract only the specific sections containing the information you need, storing these smaller sections in a new stage or table for parsing.
B) Implement data masking policies to redact sensitive information (e.g., personally identifiable information) from the documents before parsing them.
C) Disable Snowflake's result caching to ensure that PARSE_DOCUMENT always processes the latest version of each document.
D) Utilize Snowflake's data skipping features by partitioning the external stage based on document type or date, allowing Snowflake to only scan the relevant files.
E) Use a smaller virtual warehouse size to reduce compute costs, even if it increases the overall processing time.

問題與答案：