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| Section | Objectives |
|---|---|
| Data Loading and Unloading | - Bulk and continuous data ingestion
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| Data Protection and Recovery | - Backup and recovery mechanisms
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| Account and Resource Administration | - Account configuration and management
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| Performance and Monitoring | - Performance tuning and optimization
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| Security and Access Control | - Authentication and authorization
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| Snowflake Architecture and Virtual Warehouses | - Snowflake architecture concepts
|
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NEW QUESTION # 17
What roles can be used to create network policies within Snowflake accounts? (Choose three.)
Answer: B,C,D
Explanation:
SECURITYADMIN, ACCOUNTADMIN, and ORGADMIN roles can create network policies in Snowflake accounts. These roles have the necessary privileges to manage account-level security policies.
NEW QUESTION # 18
DatabaseA has a single schema called Schema1. This schema contains many tables and views. The ANALYST role has privileges to select from all objects in DatabaseA.Schema1. The SYSADMIN role clones DatabaseA to DatabaseA_clone.
What privileges does the ANALYST role have on tables and views in DatabaseA_clone? (Choose two.)
Answer: B,E
Explanation:
When a database is cloned, the privileges granted on objects within the source database are preserved in the cloned database. Roles that had privileges on objects such as tables and views continue to have those privileges on the corresponding cloned objects. Therefore, the ANALYST role retains SELECT privileges on all tables and views within the cloned schema.
In addition, the cloned database and schema inherit the same access control configuration, allowing the role to use the schema within the cloned database.
NEW QUESTION # 19
A retailer uses a TRANSACTIONS table (100M rows, 1.2 TB) that has been clustered by the STORE_ID column (varchar(50)). The vast majority of analyses on this table are grouped by STORE_ID to look at store performance.
There are 1000 stores operated by the retailer but most sales come from only 20 stores. The Administrator notes that most queries are currently experiencing poor pruning, with large amounts of bytes processed by even simple queries.
Why is this occurring?
Answer: A
Explanation:
Clustering is effective when data distribution across the clustering key is relatively uniform. In this case, most transactions are concentrated in only 20 of the 1000 stores, leading to skewed data distribution. This imbalance causes poor pruning, since large portions of micro-partitions still need to be scanned, even for queries targeting specific stores.
NEW QUESTION # 20
What session parameter can be used to test the integrity of secure views based on the account that is accessing that view?
Answer: C
Explanation:
The session parameter MIMIC_CONSUMER_ACCOUNT allows a data provider to test how secure views will appear to a specific consumer account. This ensures the integrity and correctness of secure views before they are shared.
NEW QUESTION # 21
When adding secure views to a share in Snowflake, which function is needed to authorize users from another account to access rows in a base table?
Answer: A
Explanation:
When building secure views for data sharing, the CURRENT_ACCOUNT function is used to identify and authorize the consuming account. This ensures that row-level security can be enforced per consumer account accessing the shared data.
NEW QUESTION # 22
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