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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Billing and Account Management | 10-15% | - Credit Usage
|
| Topic 2: Data Handling and Transformation | 15-20% | - Semi-Structured Data
|
| Topic 3: Account Access and Security | 20-25% | - Authorization
|
| Topic 4: Performance Optimization | 20-25% | - Warehouse Optimization
|
| Topic 5: Cloud Architecture and Data Loading | 20-25% | - Data Loading Techniques
|
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NEW QUESTION # 457
Which security models are used in Snowflake to manage access control? (Select TWO).
Answer: B,E
Explanation:
Snowflake uses both Discretionary Access Control (DAC) and Role-Based Access Control (RBAC) to manage access control. DAC allows object owners to grant access privileges to other users. RBAC assigns permissions to roles, and roles are then granted to users, making it easier to manage permissions based on user roles within the organization.
Reference:
Snowflake Documentation: Access Control in Snowflake
NEW QUESTION # 458
How many credits does a size 3X-Large virtual warehouse consume if it runs continuously for 2 hours?
Answer: B
NEW QUESTION # 459
Which clients does Snowflake support Multi-Factor Authentication (MFA) token caching for? (Select TWO).
Answer: C,E
Explanation:
Multi-Factor Authentication (MFA) token caching is typically supported for clients that maintain a persistent connection or session with Snowflake, such as the ODBC driver and Python connector, to reduce the need for repeated MFA challenges. References: Based on general security practices in cloud services as of 2021.
NEW QUESTION # 460
Which Snowflow object does not consume and storage costs?
Answer: A
Explanation:
Temporary tables in Snowflake do not consume storage costs. They are designed for transient data that is needed only for the duration of a session. Data stored in temporary tables is held in the virtual warehouse's cache and does not persist beyond the session's lifetime, thereby not incurring any storage charges.
References:
* Snowflake Documentation: Temporary Tables
NEW QUESTION # 461
Assume there is a table consisting of five micro-partitions with values ranging from A to Z.
Which diagram indicates a well-clustered table?
Answer: A
Explanation:
A well-clustered table in Snowflake means that the data is organized in such a way that related data points are stored close to each other within the micro-partitions. This optimizes query performance by reducing the amount of scanned data. The diagram indicated by option C shows a well-clustered table, as it likely represents a more evenly distributed range of values across the micro-partitions1.
References = Snowflake Micro-partitions & Table Clustering
NEW QUESTION # 462
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