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Snowflake ADA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Data Management	20%	- Database object management - Time Travel and Fail-safe - Data sharing and replication - Data loading and unloading
Account Management and Security	25%	- User management and authentication - Account management and billing - Security and governance management - Role-Based Access Control (RBAC)
Data Protection and Disaster Recovery	15%	- Snowflake Marketplace - Disaster recovery planning - Data replication - Backup and restore procedures
Virtual Warehouses	20%	- Warehouse performance optimization - Virtual warehouse creation and management - Resource monitors - Warehouse sizing and scaling
Performance and Monitoring	20%	- Resource monitoring and management - Query history and profiling - Clustering keys - Query performance optimization

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Snowflake SnowPro Advanced Administrator ADA-C02 Sample Questions (Q25-Q30):

NEW QUESTION # 25
MY_TABLE is a table that has not been updated or modified for several days. On 01 January 2021 at 07:01, a user executed a query to update this table. The query ID is '8e5d0ca9-005e-44e6-b858-a8f5b37c5726'. It is now 07:30 on the same day.
Which queries will allow the user to view the historical data that was in the table before this query was executed? (Choose three.)

A. SELECT * FROM my_table AT(TIMESTAMP => '2021-01-01 07:00:00'::timestamp);
B. SELECT * FROM my_table WITH TIME TRAVEL(OFFSET => -60*30);
C. SELECT * FROM my_table PRIOR TO STATEMENT '8e5d0ca9-005e-44e6-b858-a8f5b37c5726';
D. SELECT * FROM TIME_TRAVEL('MY_TABLE', 2021-01-01 07:00:00);
E. SELECT * FROM my_table BEFORE(STATEMENT => '8e5d0ca9-005e-44e6-b858-a8f5b37c5726');
F. SELECT * FROM my_table AT(OFFSET => -60*30);

Answer: A,E,F

Explanation:
Use Time Travel to view past table versions: (B) selects the table "as of" 07:00 via AT(TIMESTAMP => ...); (E) selects "as of" 30 minutes earlier via AT(OFFSET => -60*30); (F) selects the state before the specified statement via BEFORE(STATEMENT => '<query_id>').

NEW QUESTION # 26
Which actions are considered breaking changes to data that is shared with consumers in the Snowflake Marketplace? (Choose two.)

A. Deleting data from a table
B. Adding region availability to the listing
C. Dropping a column from a table
D. Renaming a table
E. Unpublishing the data listing

Answer: C,D

Explanation:
Dropping a column from a table or renaming a table breaks the shared schema and can cause dependent queries to fail for consumers. These are considered breaking changes to shared data in the Snowflake Marketplace.

NEW QUESTION # 27
In which scenario will use of an external table simplify a data pipeline?

A. When accessing a Snowflake table from an external database within the same region
B. When accessing a Snowflake table from a relational database
C. When accessing a Snowflake table that references data files located in cloud storage
D. When continuously writing data from a Snowflake table to external storage

Answer: C

Explanation:
External tables in Snowflake are specifically designed to reference and query data files located in external cloud storage. This simplifies data pipelines by allowing direct SQL access to external data without the need for loading it into Snowflake.

NEW QUESTION # 28
A Snowflake customer is experiencing higher costs than anticipated while migrating their data warehouse workloads from on-premises to Snowflake. The migration workloads have been deployed on a single warehouse and are characterized by a large number of small INSERTS rather than bulk loading of large extracts. That single warehouse has been configured as a single cluster, 2XL because there are many parallel INSERTS that are scheduled during nightly loads.
How can the Administrator reduce the costs, while minimizing the overall load times, for migrating data warehouse history?

A. The 2XL warehouse should be changed to 4XL to increase the number of threads available for parallel load queries.
B. The INSERTS should be converted to several tables to avoid contention on large tables that slows down query processing.
C. There should be another 2XL warehouse deployed to handle a portion of the load queries.
D. The warehouse should be kept as a SMALL or XSMALL and configured as a multi-cluster warehouse to handle the parallel load queries.

Answer: D

Explanation:
For many small, parallel INSERTS, using a multi-cluster warehouse with smaller size (SMALL or XSMALL) allows more concurrent queries to run efficiently and reduces costs compared to a single large warehouse. This configuration improves concurrency without unnecessary compute expense.

NEW QUESTION # 29
What are benefits of using Snowflake organizations? (Choose two.)

A. Administrators can change Snowflake account editions on-demand based on need.
B. Administrators can monitor and understand usage across all accounts in the organization.
C. Administrators can simplify data movement across all accounts within the organization.
D. User administration is simplified across all accounts within the organization.
E. Administrators have the ability to create accounts in any available cloud provider or region.

Answer: B,E

Explanation:
Snowflake organizations provide centralized usage monitoring across all accounts in the organization and give administrators the ability to create accounts in any supported cloud provider or region. These are the key benefits of using organizations in Snowflake.

NEW QUESTION # 30
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