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Snowflake ADA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Business Continuity and Disaster Recovery	15%	- Data protection and replication 1. Cross-region and cross-cloud replication 2. Database cloning and backup strategies 3. Time travel and fail-safe configuration - Disaster recovery planning 1. Failover and failback procedures 2. Recovery time and point objectives
Data Sharing and Marketplace	10%	- Secure data sharing 1. Shares, readers and data providers 2. Secure views and data consumption - Snowflake Marketplace 1. Listing and consuming data products 2. Marketplace administration and governance
Performance Monitoring and Tuning	20%	- Query performance analysis 1. Materialized views and search optimization 2. Indexing and clustering keys optimization 3. Query profiling and execution plans - System monitoring and troubleshooting 1. Workload isolation and concurrency control 2. Error logging and troubleshooting techniques 3. Account and warehouse usage metrics
Account and Security Administration	30%	- Account configuration and management 1. Organization and account structures 2. Cost management and billing 3. Edition and feature configuration - Access control and security 1. Data security and masking policies 2. Authentication and network policies 3. User and privilege management 4. Role-based access control (RBAC) design
Resource Management and Optimization	25%	- Virtual warehouse administration 1. Cost optimization strategies 2. Workload management and resource monitoring 3. Warehouse sizing, scaling and suspension - Database and object management 1. Data retention and time travel 2. Storage management and clustering 3. Schema design and object lifecycle

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Snowflake SnowPro Advanced Administrator ADA-C02 Sample Questions (Q60-Q65):

NEW QUESTION # 60
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 BEFORE(STATEMENT => '8e5d0ca9-005e-44e6-b858-a8f5b37c5726');
D. SELECT * FROM my_table PRIOR TO STATEMENT '8e5d0ca9-005e-44e6-b858-a8f5b37c5726';
E. SELECT * FROM TIME_TRAVEL('MY_TABLE', 2021-01-01 07:00:00);
F. SELECT * FROM my_table AT(OFFSET => -60*30);

Answer: A,C,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 # 61
An Administrator loads data into a staging table every day. Once loaded, users from several different departments perform transformations on the data and load it into different production tables.
How should the staging table be created and used to MINIMIZE storage costs and MAXIMIZE performance?

A. Create it as a transient table with a retention time of 0 days.
B. Create it as an external table, which will not incur Time Travel costs.
C. Create it as a permanent table with a retention time of 0 days.
D. Create it as a temporary table with a retention time of 0 days.

Answer: A

Explanation:
A transient table is best suited for staging because it avoids long-term storage costs by not maintaining Fail-safe and can have Time Travel retention set to 0 days. This minimizes storage costs while still providing performance comparable to permanent tables, making it the optimal choice for daily staging data.

NEW QUESTION # 62
A company enabled replication between accounts and is ready to replicate data across regions in the same cloud service provider.
The primary database object is : PROD_AWS_EAST. Location : AWS_EAST
The secondary database object is : PROD_AWS_WEST. Location : AWS_WEST
What command and account location is needed to refresh the data?

A. Location : AWS_EAST
Command : ALTER DATABASE PROD_AWS_WEST REFRESH;
B. Location : AWS_WEST
Command : REFRESH DATABASE PROD_AWS_WEST REFRESH;
C. Location : AWS_EAST
Command : REFRESH DATABASE PROD_AWS_WEST REFRESH;
D. Location : AWS_WEST
Command : ALTER DATABASE PROD_AWS_WEST REFRESH;

Answer: D

Explanation:
To update a secondary database with changes from its primary, the ALTER DATABASE <secondary_db> REFRESH; command must be executed in the secondary account/region. In this case, that means running the command on PROD_AWS_WEST in AWS_WEST.

NEW QUESTION # 63
A user with the proper role issues the following commands when setting up and activating network policies:
CREATE OR REPLACE NETWORK POLICY foo_policy
ALLOWED_IP_LIST = ('1.1.1.0/24', '2.2.2.0/24', '3.3.3.0/24')
BLOCKED_IP_LIST = ('1.1.1.1')
COMMENT = 'Account level policy';
ALTER ACCOUNT SET NETWORK_POLICY=foo_policy;
CREATE OR REPLACE NETWORK POLICY bar_policy
ALLOWED_IP_LIST = ('3.3.3.0/24')
BLOCKED_IP_LIST = ('3.3.3.10')
COMMENT = 'user level policy';
ALTER USER user1 SET NETWORK_POLICY=BAR_POLICY;
Afterwards, user1 attempts to log in to Snowflake from IP address 3.3.3.10.
Will the login be successful?

A. No, because 3.3.3.10 is found in the BLOCKED_IP_LIST of bar_policy.
B. Yes, because 3.3.3.10 is found in the ALLOWED_IP_LIST of bar_policy.
C. No, because 3.3.3.10 is not found in the ALLOWED_IP_LIST of foo_policy.
D. Yes, because 3.3.3.10 is found in the ALLOWED_IP_LIST of foo_policy.

Answer: A

Explanation:
Although 3.3.3.10 is in the ALLOWED_IP_LIST, it is also explicitly listed in the BLOCKED_IP_LIST of the user-level policy (bar_policy). Blocked IPs always take precedence over allowed IPs in Snowflake network policies, so the login attempt will fail.

NEW QUESTION # 64
What are characteristics of Dynamic Data Masking? (Choose two.)

A. A single masking policy can be applied to columns with different data types.
B. The role that creates the masking policy will always see unmasked data in query results.
C. A single masking policy can be applied to columns in different tables.
D. A masking policy can be applied to the VALUE column of an external table.
E. A masking policy that is currently set on a table can be dropped.

Answer: C,E

Explanation:
A masking policy applied to a table or column can be dropped or replaced as needed.
The same masking policy can be reused and applied to columns in different tables.

NEW QUESTION # 65
......

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