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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Cloud Architecture and Data Loading | 20-25% | - Data Loading Techniques
|
| Topic 2: Billing and Account Management | 10-15% | - Account Operations
|
| Topic 3: Data Handling and Transformation | 15-20% | - Data Transformation
|
| Topic 4: Performance Optimization | 20-25% | - Query Performance
|
| Topic 5: Account Access and Security | 20-25% | - Network Security
|
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NEW QUESTION # 876
What does Snowflake recommend as a best practice for using secure views?
Answer: A
Explanation:
Snowflake recommends not exposing sequence-generated columns in secure views. Secure views are used to protect sensitive data by ensuring that users can only access data for which they have permissions. Exposing sequence-generated columns can potentially reveal information about the underlying data structure or the number of rows, which might be sensitive.
Create Secure Views: Define secure views using the SECURE keyword to ensure they comply with Snowflake's security policies.
Exclude Sensitive Columns: When creating secure views, exclude columns that might expose sensitive information, such as sequence-generated columns.
CREATE SECURE VIEW secure_view AS
SELECT col1, col2
FROM sensitive_table
WHERE sensitive_column IS NOT NULL;
Reference:
Snowflake Documentation: Secure Views
Snowflake Documentation: Creating Secure Views
These answers and explanations should provide comprehensive guidance on the specified Snowflake topics.
NEW QUESTION # 877
What languages can be used to write User-Defined Functions, or UDFs? Select TWO.
Answer: A,D
Explanation:
The correct answers are B. JavaScript and C. Python .
Snowflake supports User-Defined Functions, or UDFs, in multiple languages. Common supported languages include SQL, JavaScript, Java, Python, and Scala. From the options provided, the supported UDF languages are JavaScript and Python.
Why B is correct:
JavaScript is supported for Snowflake UDFs. JavaScript UDFs allow users to write procedural logic that can be called from SQL.
Why C is correct:
Python is supported for Snowflake UDFs. Python UDFs allow users to use Python code inside Snowflake for custom processing.
Why the other options are incorrect:
A). Groovy is not a supported Snowflake UDF language.
D). Spark is a data processing engine, not a Snowflake UDF programming language.
E). Golang is not a supported Snowflake UDF language.
Official Snowflake documentation reference:
Snowflake documentation lists supported UDF languages, including SQL, JavaScript, Java, Python, and Scala.
Reference: Snowflake Documentation - User-defined functions; Snowflake Documentation - JavaScript UDFs; Snowflake Documentation - Python UDFs; SnowPro Core Study Guide - SQL and Snowflake Objects.
NEW QUESTION # 878
Which of the following practices are recommended when creating a user in Snowflake? (Choose two.)
Answer: A,D
NEW QUESTION # 879
Which Snowflake technique can be used to improve the performance of a query?
Answer: D
Explanation:
Explanation
https://docs.snowflake.com/en/user-guide/tables-clustering-keys.html
NEW QUESTION # 880
Which stream type can be used for tracking the records in external tables?
Answer: B
NEW QUESTION # 881
......
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