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Simulate the real exam

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Only need to practice for 20 to 30 hours

You will get to know the valuable exam tips and the latest question types in our SOL-C01 certification training files, and there are special explanations for some difficult questions, which can help you to have a better understanding of the difficult questions. All of the questions we listed in our SOL-C01 practice exam materials are the key points for the IT exam, and there is no doubt that you can practice all of SOL-C01 best questions within 20 to 30 hours, even though the time you spend on it is very short, however the contents you have practiced are the quintessence for the IT exam. And of course, if you still have any misgivings, you can practice our SOL-C01 certification training files again and again, which may help you to get the highest score in the IT exam.

Snowflake Certified SnowPro Associate - Platform Certification Sample Questions:

1. You are tasked with creating a table in Snowflake to store customer order data. You need to ensure that the 'order date' column always defaults to the current date if no value is provided during insertion. Additionally, you want to enable automatic clustering on the 'customer id' column to optimize query performance for order retrieval by customer. Which of the following SQL statements correctly date DATE DEFAULT CURRENT DATE) ORDER BY (customer_id); achieves this?

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

2. Consider the following scenario: A Snowflake database `SALES DB contains a table
'CUSTOMER DATA' that is actively being updated. You need to create a historical snapshot of
'CUSTOMER DATA for auditing purposes, ensuring that the snapshot is consistent and reflects the data at a specific point in time. You need to create a second table, `AUDIT CUSTOMER DATA, to hold the historical information. Which of the following methods can accurately capture the data in 'CUSTOMER DATA at a specific point in time?

A) create a task to periodically copy data from 'CUSTOMER_DATX to
B) Using 'INSERT INTO AUDIT CUSTOMER DATA SELECT FROM CUSTOMER DATA'
C) Using `CREATE OR REPLACE VIEW AUDIT_CUSTOMER DATAAS SELECT FROM
CUSTOMER DATA;'
D) create a clone of the 'CUSTOMER_DATX table using 'CREATE TABLE CLONE CUSTOMER_DATA BEFORE (TIMESTAMP
E) Using `CREATE TABLE AUDIT CUSTOMER DATAAS SELECT FROM CUSTOMER DATA;'

3. You have a large CSV file stored in AWS S3 that you need to load into a Snowflake table called
'SALES DATA'. The CSV file is compressed using GZIP, and it contains a header row that you want to skip. The table 'SALES DATA' already exists with the correct schema. You want to optimize the data loading process by using a named file format object and explicitly specifying the virtual warehouse. The S3 bucket is properly configured for Snowflake access. Which of the following SQL statements is the MOST efficient and correct way to load the data?

A)

B)

C)

D)

E)

4. You have a Snowflake database named 'SALES DB' containing schemas 'RAW' and
'TRANSFORMED'. The 'RAW' schema holds raw data ingested from various sources, and the
'TRANSFORMED' schema contains cleansed and transformed data ready for reporting. You need to grant the 'DATA ANALYST' role the ability to read all tables in the 'TRANSFORMED' schema but prevent them from modifying any objects. What is the MOST efficient and secure way to achieve this?

A) GRANT USAGE ON DATABASE SALES DB TO ROLE DATA ANALYST; GRANT USAGE ON SCHEMA SALES DB.TRANSFORMED TO ROLE DATA ANALYST; GRANT SELECT ON FUTURE TABLES IN SCHEMA SALES DB.TRANSFORMED TO ROLE DATA ANALYST;
B) GRANT ALL PRIVILEGES ON SCHEMA SALES DB.TRANSFORMED TO ROLE DATA
ANALYST;
C) GRANT USAGE ON DATABASE SALES DB TO ROLE DATA ANALYST; GRANT SELECT ON FUTURE TABLES IN SCHEMA SALES DB.TRANSFORMED TO ROLE DATA ANALYST;
D) GRANT SELECT ON SCHEMA SALES DB.TRANSFORMED TO ROLE DATA ANALYST;
E) GRANT SELECT ON ALL TABLES IN SCHEMA SALES DB.TRANSFORMED TO ROLE DATA ANALYST;

5. You need to programmatically retrieve query history metadata (e.g., start time, end time, status, user) for queries executed in the last 24 hours using SQL from within Snowsight. However, you only want to retrieve records for queries that took longer than 5 seconds to execute, filtering by a specific user 'DATA USER'. Which of the following SQL statements, when executed in Snowsight, is the MOST efficient way to achieve this?

A)

B)

C)

D)

E)

Solutions: