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| Section | Weight | Objectives |
|---|---|---|
| Data Loading and Virtual Warehouses | 40% | - Virtual warehouses
|
| Data Protection and Data Sharing | 10% | - Data sharing and collaboration
|
| Identity and Data Access Management | 15% | - Role-Based Access Control (RBAC)
|
| Interacting with Snowflake and the Architecture | 35% | - User interfaces
|
>> Exam Snowflake SOL-C01 Guide <<
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NEW QUESTION # 11
You are working with a dataset containing customer purchase information stored in a VARIANT column named 'PURCHASE DATA. This column contains JSON data with nested arrays and varying schemas. You need to extract all unique product categories purchased by customers who have spent more than $1000 in total. How can you achieve this most efficiently in Snowflake?
Answer: B
Explanation:
Option E provides the most efficient and correct solution. It utilizes for flattening the JSON array, which is more readable than 'LATERAL FLATTEN'. It filters based on 'total_spent' before flattening. The other options are less efficient or incorrect. Option A uses a temporary table which is generally less efficient. Option B does not correlate the CTE with the main table
'CUSTOMERS', hence failing to relate to the customer's total spend. Option C directly refers to without correlation to the customer table and it won't work since FLATTEN on a column requires the tablename as well. D's usage of 'EXPLODE is not standard Snowflake SQL syntax for JSON flattening.
NEW QUESTION # 12
A data engineer is using Snowflake Notebooks to perform exploratory data analysis on a large dataset stored in a Snowflake table called 'ORDERS. They want to calculate the total order amount per day and visualize the results as a line chart directly within the notebook. Which sequence of actions represents the MOST efficient and correct way to achieve this?
Answer: C
Explanation:
The most efficient approach is to directly query Snowflake from the notebook, use Pandas for data manipulation, and Matplotlib or Plotly for visualization. This leverages the compute power of Snowflake and avoids unnecessary data transfer. Exporting to CSV (B) is inefficient, Javascript (D) isn't the typical notebook flow and stored procedures adds extra complexity (E). Creating a view and importing it (C) adds an extra step compared to directly querying.
NEW QUESTION # 13
You are using the 'COPY INTO' command to load data from an Amazon S3 bucket into a Snowflake table named 'employees'. The data in S3 is in CSV format, compressed with gzip, and contains a header row. You want to skip the header row during the load and handle any data conversion errors by continuing the load operation. Which of the following 'COPY INTO' commands is most appropriate?
Answer: B
Explanation:
Option A is the most appropriate. It correctly specifies the S3 bucket and file, CSV file format, skips the header row CSKIP_HEADER = and handles data conversion errors by continuing the load CON_ERROR = 'CONTINUE"). While other options might partially address the requirements, option A is complete and adheres to correct syntax. Option B uses 'SKIP_FILE' which would skip the whole file on error. Option C is closer, but adding `ERROR = FALSE is not directly related to handling data conversion errors. option D is incorrect because 'ON_ERROR = CONTINUE is not a valid syntax, it requires to be in single quotes 'ON ERROR = 'CONTINUE".
Option E is also good but 'FIELD DELIMITER = is not required here and is not adding value.
NEW QUESTION # 14
Which command is used to grant privileges to a role in Snowflake?
Answer: D
Explanation:
TheGRANTcommand is used in Snowflake to assign privileges to a role. GRANT allows administrators to authorize roles to perform actions on objects such as tables, warehouses, schemas, or databases. The REVOKE command removes privileges, CREATE creates objects, and ASSIGN is not a valid Snowflake command. Therefore, GRANT is the correct command for privilege assignment.
NEW QUESTION # 15
Which of the following are key components of Snowflake's RBAC system? (Choose any 3 options)
Answer: A,C,D
Explanation:
Snowflake's RBAC security model revolves aroundUsers,Roles, andPrivileges. Users represent individual identities or service accounts. Roles group privileges and are assigned to users. Privileges define specific actions that can be performed on objects (e.g., SELECT, INSERT, OWNERSHIP). "Permissions" is not a formal RBAC component-permissions are effectively the result of privileges assigned to roles. Therefore, the three core RBAC components are Users, Roles, and Privileges.
NEW QUESTION # 16
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