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Snowflake Certified SnowPro Associate - Platform Certification Sample Questions (Q39-Q44):
NEW QUESTION # 39
What is the default Time Travel retention period for standard tables in Snowflake?
- A. 7 days
- B. 0 days
- C. 1 day
- D. 14 days
Answer: C
Explanation:
Standard permanent tables in Snowflake have a default1-day Time Travel retention period. During this period, users may query historical data, restore dropped tables, or clone past states. Higher editions allow extending this period up to 90 days. Temporary and transient tables have 0-day retention by default.
NEW QUESTION # 40
A data scientist has developed a Streamlit application within a Snowflake Notebook to perform predictive analytics on customer churn. The application uses a pre-trained machine learning model stored as a Snowflake stage object. The model takes several customer features as input, which are stored in a Snowflake table called 'CUSTOMER FEATURES'. The data scientist needs to ensure that the model is loaded efficiently and that the inference is performed securely within the Snowflake environment, minimizing data movement.
Which of the following approaches would be the MOST efficient and secure for loading the pre- trained model and performing the inference within the Snowflake environment using a Streamlit application?
- A. Implement Snowpark and load the model from the Snowflake stage, transforming and sending the data to the model with Snowpark session in Snowflake, leveraging Streamlit for visualization.
- B. Use Streamlit's caching capabilities Cst.cache_resource') to load the pre-trained model from the Snowflake stage into the Streamlit application's memory. Then, perform the inference directly within the Streamlit application.
- C. Create a Snowflake external function (UDF) that loads the pre-trained model from the Snowflake stage and performs the inference. Call this UDF from the Streamlit application, passing the customer features as input.
- D. Create a Snowflake stored procedure that loads the pre-trained model from the Snowflake stage and performs the inference using SQL commands (if the model is compatible). Call this stored procedure from the Streamlit application.
- E. Download the pre-trained model from the Snowflake stage to the Streamlit application's local storage and perform the inference using a standard Python machine learning library.
Answer: A,C
Explanation:
Options B and E are the most appropriate for efficiency and security. Creating a Snowflake UDF or Snowpark session (E) keeps the data and model processing within the Snowflake environment, minimizing data movement and leveraging Snowflake's compute resources. UDFs or Snowpark session provide a secure and efficient way to perform the inference. Downloading model is not scalable (A), simple caching might be inefficent (C), storing procedure is not suitable as its not SQL based (D).
NEW QUESTION # 41
What types of privileges can be granted to a role in Snowflake?
- A. All of them
- B. MONITOR
- C. INSERT
- D. SELECT
Answer: A
Explanation:
Snowflake usesrole-based access control (RBAC), where privileges are assigned to roles rather than individual users. All of the listed privileges (SELECT, INSERT, MONITOR) can be granted to a role.
* SELECTallows reading data from tables, views, or materialized views.
* INSERTallows adding new rows into a table.
* MONITORallows viewing query history, warehouse status, and resource usage.
In addition, roles can receive privileges such as CREATE TABLE, USAGE, MODIFY, OPERATE, OWNERSHIP, and many others. Users inherit all privileges assigned to the roles they possess, enabling scalable security design.
Thus, all listed privileges can be granted to Snowflake roles.
NEW QUESTION # 42
A data engineer needs to create a table named 'EMPLOYEES in the `PUBLIC' schema of the database 'COMPANY DATA'. The table should store employee IDs as integers, names as strings, and hire dates as dates. Which of the following SQL statements correctly creates this table?
- A. CREATE OR REPLACE TABLE COMPANY_DATA.PUBLIC.EMPLOYEES (EmployeelD
NUMBER, Name VARCHAR(255), HireDate DATE); - B. CREATE OR REPLACE TABLE COMPANY DATA.PUBLIC.EMPLOYEES (EmployeelD INT, Name VARCHAR(255), HireDate DATE);
- C. CREATE OR REPLACE TABLE EMPLOYEES (EmployeelD NUMBER, Name VARCHAR,
HireDate DATE); - D. CREATE TABLE EMPLOYEES (EmployeelD INTEGER, Name VARCHAR(255), HireDate DATETIME);
- E. CREATE TABLE COMPANY_DATA.PUBLIC.EMPLOYEES (EmployeelD INT, Name STRING, HireDate DATE);
Answer: B
Explanation:
The correct answer is E. It uses 'CREATE OR REPLACE to avoid errors if the table exists, specifies the full table name with database and schema ('COMPANY_DATA.PUBLIC.EMPLOYEES'), and uses appropriate data types: 'INT' for integers,
'VARCHAR(255)' for strings, and 'DATE for dates. Option A would cause errors if table already exists, Option B and C does not specify the database and schema. Option D uses NUMBER datatype.
NEW QUESTION # 43
Which of the following statements are true regarding the 'SELECT ' command in Snowflake?
- A. It is generally recommended for production environments due to its performance efficiency.
- B. It selects all columns from a specified table or view.
- C. It selects all columns from all tables in the current database.
- D. It can be used in conjunction with a 'WHERE' clause to filter the results.
- E. It always returns the columns in the order they were defined in the table schema.
Answer: B,D
Explanation:
'SELECT selects all columns from a specified table or view and can be used with a 'WHERE' clause. The column order is not guaranteed to be the defined order. `SELECT is generally discouraged in production as changes to the table schema can break applications relying on a specific column order or set of columns and it may return a lot of data unnecessarily. It only affects the table specified, not all tables in the database.
NEW QUESTION # 44
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