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| Section | Objectives |
|---|---|
| Topic 1: Data Loading and Unloading | - Data export
|
| Topic 2: Data Transformation and Analysis | - SQL-based transformations
|
| Topic 3: Data Modeling and Performance Optimization | - Modeling approaches in Snowflake
|
| Topic 4: Snowflake Architecture and Data Platform Fundamentals | - Snowflake architecture concepts
|
| Topic 5: Security, Governance, and Data Sharing | - Access control and security
|
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NEW QUESTION # 45
What actions are involved in data discovery to identify necessary elements from available datasets in Snowflake? (Select all that apply)
Answer: A,B
Explanation:
Data discovery in Snowflake involves querying tables and evaluating required transformations for dataset refinement.
NEW QUESTION # 46
You have two tables in Snowflake: 'ORDERS and 'CUSTOMERS. The 'ORDERS' table contains information about customer orders, including 'ORDER ID', 'CUSTOMER ID', 'ORDER DATE, and 'ORDER AMOUNT. The 'CUSTOMERS table contains information about customers, including 'CUSTOMER ID', 'CUSTOMER NAME' , and 'CUSTOMER ADDRESS'. You need to create a view that joins these two tables based on 'CUSTOMER ID and includes only orders placed in the last 30 days. You also want to ensure that the view leverages the primary key information defined on the 'CUSTOMERS' table (even though Snowflake doesn't enforce it) for potential query optimizations. Which of the following SQL statements is the MOST efficient and best practice approach, considering Snowflake's optimizer?
Answer: A
Explanation:
Using 'CREATE OR REPLACE SECURE VIEW' is the best practice. 'CREATE OR REPLACE' allows you to update the view definition if needed without dropping and recreating it, minimizing disruption. A 'SECURE VIEW' prevents users from seeing the underlying query logic or accessing the base tables directly, enhancing security. The explicit JOIN syntax is preferred over the older implicit join syntax (option B). Snowflake's optimizer will leverage defined primary key relationships to optimize the join, even though it doesn't enforce them. Explicitly referencing schema isn't needed unless dealing with ambiguous names across schemas. The WHERE clause correctly filters for orders in the last 30 days.
NEW QUESTION # 47
When performing a descriptive analysis using Snowsight dashboards, how do they assist in summarizing large data sets?
Answer: B
Explanation:
Snowsight dashboards provide visual representations that aid in quick comprehension of large data sets during summarization.
NEW QUESTION # 48
What attributes of the Query Profile are typically assessed to understand query performance in Snowflake?
Answer: A
Explanation:
Query Profile attributes like execution time and query complexity are evaluated to comprehend query performance and optimize it in Snowflake.
NEW QUESTION # 49
When managing Snowsight dashboards, what role do subscriptions and updates play in meeting business requirements?
Answer: D
Explanation:
Subscriptions and updates ensure timely information delivery, meeting business requirements.
NEW QUESTION # 50
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